The Tech Savvy Lawyer

The TechSavvyLawyer.Page Podcasts are interviews with Judges, Lawyers, and other professionals discussing utilizing technology in the practice of law. Each guest will be asked three questions and provide their three best answers to each question asked. There is no right or wrong answer as each answer may not be the right one for you. But, it may springboard an idea and help you in your own pursuit of the business we call "practicing law". I'm your host, Michael D.J. Eisenberg, the Tech-Savvy Lawyer at the TechSavvyLawer.Page. Please join us for interesting conversations enjoyable at any tech skill level! (New Episodes will be released about every two Tuesdays.)

Ep. #136: How Law Firms Can Actually Use AI: Practical Intake, Document, and Workflow Automation with Hamid Kohan 05/12/2026

Ep. #136: How Law Firms Can Actually Use AI: Practical Intake, Document, and Workflow Automation with Hamid Kohan My next guest is Hamid Kohan, founder of LegalSoft and LawPractice.ai, and one of the most practical voices on applying AI inside real-world law firms.🧠 He joins me to break down how firms can move beyond the “we’ve done it this way for 40 years” mindset, modernize their tech stack, and start using AI today without taking on unnecessary risk. Join Hamid and me as we discuss the following three questions and more! What are the top three ways law firms can integrate AI using solutions like LegalSoft and LawPractice.ai into their intake, case management, and document workflows to improve efficiency and accuracy? From your work directly with law firms, what are the top three challenges lawyers face in adopting AI, and how can they overcome them to modernize their practice? Looking ahead, what are the top three emerging technologies beyond AI that attorneys should start exploring today to stay competitive in the legal industry? In our conversation, we cover the following 00:00 – Welcoming Hamid and overview of his tech-heavy environment 00:30 – Why his team is 90% Mac while he stays on PC and Android 01:10 – Running a pure cloud and SaaS setup with no true desktop environment 02:00 – Treating devices as “Uber” to the web and why local power matters less 02:30 – Hardware choices: HP PC, massive Samsung monitors, and 60+ browser tabs as a to‑do list 03:30 – Working across 12 entities and using tabs to monitor departments and initiatives 04:00 – Living in Google Chrome and managing resource usage for heavy browser workflows 04:40 – Chrome extensions Hamid relies on: Adobe, malware protection, McAfee, offline document tools 05:20 – Why he uses Chrome’s built-in password manager 05:40 – Android Samsung smartphone and keeping mobile simple 06:00 – Question 1: top three ways to integrate AI into intake, case management, and document workflows 06:20 – How legal is “stuck in the past” and why Hamid saw law firms as a scaling opportunity 07:10 – From CRMs and workflows to KPIs: the pre‑AI foundation for scaling law firms 07:40 – The “sky dropped” moment when AI hit the legal industry 08:10 – Vendor noise, “Me Too AI,” and why vertical, single‑purpose AI tools overwhelm firms 08:50 – Why multi-solution AI platforms (like LawPractice.ai) will ultimately win 09:20 – Why firms must start using AI now instead of waiting for perfection 09:50 – Where lawyers should start with AI: document collection as a low‑risk entry point 10:30 – Using AI to automate document requests via SMS, email, and calls 11:00 – AI document summary that checks whether a client sent the correct document 11:40 – Why AI collection and summaries are “risk-free” compared to AI drafting 12:10 – Using AI for document chronologies and conservative workloads 12:40 – Explaining LegalSoft: global virtual staffing for law firms across eight countries 13:30 – How virtual legal staff can cut overhead by up to 75% for firms 14:20 – Why Hamid launched LawPractice.ai to AI‑enable both law firms and LegalSoft’s 4,000 professionals 15:10 – Question 2: the top three challenges lawyers face when adopting AI 15:30 – Challenge 1: finding the right AI tool in a crowded, noisy market 16:00 – Challenge 2: underestimating implementation, training, and real‑world usage 16:20 – Case example: an employment firm that changed its view of AI after proper training 17:10 – Challenge 3: signing long-term AI contracts before proper testing 17:30 – Why firms should insist on “try before you buy” pilot periods 18:00 – Making AI usage mandatory to avoid adoption resistance inside the firm 18:40 – Parallels with CRMs like Clio, Filevine, and CasePeer and partial user adoption 19:20 – How poor CRM data entry disrupts the entire legal workflow 20:00 – Question 3: “beyond AI” tech and why Hamid says it’s “AI, AI, AI” for now 20:30 – The real three “emerging tech” priorities: selecting, implementing, and integrating AI 21:00 – Why locking into long-term tech contracts is risky in a fast-moving AI landscape 21:30 – The trap of attractive multi‑year discounts and what firms should watch for 22:00 – Where listeners can find Hamid and book a one‑on‑one through LegalSoft Resources Connect with Hamid Website: LegalSoft – 🌐 Website: LawPractice.ai – 🤖 LinkedIn: Hamid Kohan (personal profile) - 🔗 LinkedIn: LegalSoft company page - 🔗 Mentioned in the episode How to Scale Your Stupid Law Firm – book page (example listing) Hardware mentioned in the conversation Android Samsung smartphone – Samsung Galaxy phones overview HP PC laptop/desktop (Hamid’s primary computer) – HP consumer laptops & desktops starting point https://www.hp.com/us-en/home.html Samsung monitors, including large ultrawide / 62–75 inch displays – Samsung ultrawide monitors Software & Cloud Services mentioned in the conversation Adobe Chrome extension – Adobe Acrobat PDF browser extension Amazon Web Services (AWS) for cloud infrastructure – AWS homepage CasePeer (legal CRM / practice management) – CasePeer overview (representative legal CRM article) Chrome built‑in password manager – Chrome password manager info (via browser help path) / Clio (legal practice management / CRM) – Clio homepage Filevine (legal case management platform) – Filevine legal case management page Google Chrome browser – HubSpot CRM and marketing automation (core operational platform) – HubSpot homepage Malware protection extensions and McAfee tools – McAfee antivirus / security suite /episode/index/show/thetechsavvylawyerdotpage/id/41301285

TSL Labs 🧪 Bonus: Deep Dive on our April 27, 2026, Editorial, MTC: Smart Recording, Client Secrets, and HeyPocket: What Every Lawyer Needs to Know in 2026 📱⚖️ 05/01/2026

TSL Labs 🧪 Bonus: Deep Dive on our April 27, 2026, Editorial, MTC: Smart Recording, Client Secrets, and HeyPocket: What Every Lawyer Needs to Know in 2026 📱⚖️ 📌 To Busy to Read This Week’s Editorial? Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we unpack how AI note takers and “always-listening” devices can quietly route client secrets to third-party vendors, why that matters under the ABA Model Rules, and how a 2026 federal decision out of the Southern District of New York turned one defendant’s AI chats into discoverable evidence. Whether you are a solo practitioner, in-house counsel, or a tech-curious professional in another field, this conversation will help you balance convenience with confidentiality and avoid turning your favorite AI assistant into your biggest evidentiary risk. 👉 Before your next client meeting, listen to this episode, check out our , and run your current AI tools through the checklist we outline—then subscribe and share with a colleague who is still “just trusting the app.” 🎧 In our conversation, we cover the following: 00:00 – The “ambient microphone” problem: phones, smart speakers, wearables, and connected cars as a continuous surveillance layer around client conversations. 01:00 – How technology competence has shifted from locking file cabinets to understanding data custody, cloud routing, and API-driven services. 02:30 – What makes AI note takers like HeyPocket different from passive telemetry and why capturing the spoken “payload” changes the threat model. 04:00 – The invisible “third party in the room”: routing privileged audio through external AI models and the malpractice risk of default “Allow” clicks. 05:30 – Applying ABA Model Rules 1.1 and 1.6 to AI workflows: competence, confidentiality, and “reasonable efforts” in a world of automated transcription. 07:00 – Risk-based analysis from ABA Formal Opinions 477R and 498: weighing sensitivity, likelihood of disclosure, and available safeguards before using AI. 08:30 – Why secretly recording clients or opponents with AI tools can implicate Rule 8.4(c), even in one‑party consent jurisdictions. 10:00 – Inside United States v. Heppner (SDNY 2026): how public generative AI platforms destroyed privilege and work-product protections for a criminal defendant. 12:00 – How AI training and tokenization work, why “military‑grade encryption” does not save privilege if terms of service allow internal data use. 14:00 – Treating every AI note taker like an outsourced e‑discovery vendor: NDAs, retention policies, security audits, and data destruction timelines. 16:00 – Practical minimization strategies: defaulting to no recording, segmenting AI-generated content by matter, and restricting access via role‑based controls. 17:30 – Establishing bright-line “no‑AI” categories (criminal defense, internal investigations, sensitive family/immigration, high‑value trade secrets). 18:30 – Counseling clients not to “prep their case” with public chatbots after Heppner and why this is now part of competent representation. 19:30 – Building a simple vendor-vetting checklist for law firms and professional practices adopting AI note takers. 20:00 – Looking ahead: when failure to use secure, vetted AI may itself become a competence issue due to inefficiency and overbilling. 21:00 – Rethinking privilege in a world where an algorithmic “third party” is always in the room and devices are never truly off RESOURCES Mentioned in the episode ABA Formal Opinion 477R – “Securing Communication of Protected Client Information” – ABA Formal Opinion 498 – “Virtual Practice” – ABA Model Rules of Professional Conduct – Pocket / HeyPocket AI note-taking platform – United States v. Heppner, S.D.N.Y. 2026 – /episode/index/show/thetechsavvylawyerdotpage/id/41159050

🎙️ TSL.P Ep. #135: Ethical AI, Paperless Practice, and Smart Hardware Choices with ABA LTRC Chair Alan Klevan ⚖️🤖 04/28/2026

🎙️ TSL.P Ep. #135: Ethical AI, Paperless Practice, and Smart Hardware Choices with ABA LTRC Chair Alan Klevan ⚖️🤖 My next guest is Alan Klevan, a veteran personal injury lawyer and Chair of the ABA Law Practice Division’s Legal Technology Resource Center (LTRC), known for running one of the first paperless practices in New England and for his clear-eyed approach to AI in law. In this live episode recorded at the ABA Spring Conference in San Diego, Alan and I dig into how solos and small firms can use AI, case management platforms, hardware, and workflows to practice more efficiently while honoring their ethical duties and protecting client confidentiality. Join Alan Klevan and me as we discuss the following three questions and more! What are the top three ways Alan uses AI and other tech tools to control discovery and document management at scale, protect client confidentiality, and communicate complex case progress to clients who only care that it is accurate and on time? As Chair of the ABA Law Practice Division’s Legal Technology Resource Center, what top three technology practices does Alan wish every small or solo lawyer would adopt in the next 12 months? What were the three most important technology decisions Alan made early in his career around paperless workflows, practice management, automation, and AI‑powered research—and how can today’s practitioners follow that lead? In our conversation, we covered the following [00:00:00] Live from the ABA Spring Conference in San Diego, introducing Alan Klevan and the setting of the conversation 🌴 [00:00:30] Alan’s mirrored bi‑state setup: two Lenovo i7 laptops in Massachusetts and Florida, dual 24" HP HD monitors, two ScanSnap iX1600 scanners, laser printers, and Microsoft OneDrive syncing between offices 💻📠 [00:01:10] Traveling with a third “road warrior” Lenovo laptop, iPhone as primary smart device, and using the reMarkable 2 tablet for handwritten notes that sync into client and ABA files ✍️ [00:01:45] Early impressions of the Plaud (AI wearable) device, background-noise muting, and why Alan limits it to non‑critical meetings due to privilege concerns 🎧 [00:02:20] Judicial skepticism about AI recording tools in court; motion practice, privilege issues, and a New York judge flatly banning AI recorders in the courtroom 🚫 [00:03:10] AI hallucinations in legal practice, roughly 1,300 known hallucination incidents, and why the real problem is lawyers not checking citations—highlighted by a recent Oregon sanctions case 💸 [00:04:00] The Oregon lawyer who tried to “fix” hallucinated citations with a motion to refile instead of candor to the court and opposing counsel, and how that became a fraud‑on‑the‑court issue under the Oregon Rules of Professional Responsibility [00:04:45] Using Google Scholar as an AI‑prompting “hack” to verify every citation and case suggested by AI tools 🔍 [00:05:20] Question 1 restated: top three ways Alan uses AI and tech to (1) control discovery, (2) protect confidentiality and ethical duties, and (3) communicate complex case progress to clients [00:05:45] Drafting AI and social media policies directly into contingency‑fee agreements so clients do not post about their case or use open‑source AI on case‑related issues 📜 [00:06:30] Hepner and Warner: open‑source vs enterprise AI, attorney–client privilege, work product concerns, and emerging discoverability questions for public‑facing AI platforms [00:07:20] Trap for the unwary: why Alan insists clients notify him before using AI on their case and why he prefers enterprise versions of AI for better protection and governance 🧠 [00:08:10] The Nippon life Insurance case: client uploads attorney communications into ChatGPT, asks if her lawyer is gaslighting her, then files 44 AI‑drafted motions—raising product liability and disclaimer questions for AI vendors 🏛️ [00:09:30] Court pushback on AI disclaimer language, defective product theories, and the infancy of AI‑related legal liability [00:10:10] Alan’s big personal‑injury “Aaron Brockovich‑type” case with a deep‑pocket defendant and using AI to level the playing field on litigation management and motion practice ⚖️ [00:11:00] Feeding facts, parties, defense counsel names, and pleadings into a case management system with a built‑in, highly accurate legal AI component (VL) and generating 50‑state case research for negligent infliction of emotional distress claims 📂 [00:12:00] Running the same matter through two AI platforms (case management AI and Claude) to compare outputs, reduce hallucination risk, and mold responses to Alan’s writing style and Massachusetts practice [00:13:00] Using Claude (enterprise tier) to draft an opposition to a motion to dismiss seven emotional‑distress claims, followed by manual review and cross‑checking in the case management AI—leading to the defendant’s motion being denied ✅ [00:14:15] Alan’s process for verifying AI outputs: second set of “AI eyes,” Google Scholar citation checks, and lawyer‑level review of every filing [00:15:00] Advice for new attorneys: try AI platforms before buying, choose a tool that fits your workflow, avoid shiny‑object syndrome, and do not over‑commit to annual plans while the market is moving fast 🧩 [00:16:00] Michael’s caution about yearly plans, vendor lock‑in, and ensuring your data is nimble enough to move between AI platforms without costly migrations [00:16:45] Alan’s rule: do not chase every AI; become a master of one platform, learn it deeply, and resist the temptation to constantly switch 🧠 [00:17:10] Both hosts stress “review, review, review”—AI as a law librarian or 3L intern, not as your practicing lawyer, and the concept that AI does not have a JD 🎓 [00:18:00] Anecdote from 1990: Alan is sent to court unprepared, gets sent out of the courtroom to learn his file, and how that story frames his modern view of AI oversight and responsibility [00:19:10] Question 2: as LTRC Chair, Alan’s top three technology practices every small or solo lawyer should adopt in the next 12 months [00:19:30] Tech Practice #1: invest in a fast machine (Windows or Mac) with as much RAM and storage as you can reasonably afford, and strip the “crapware” off box‑store Windows machines 🖥️ [00:20:10] Discussion of Apple vs Windows pricing, the need for more than 16 GB of RAM, multi‑core processors, and why Alan buys Lenovo laptops with 32 GB RAM and expects 3–4 year laptop lifespans 💾 [00:21:30] Backups and storage: redundant cloud backups, redundant hard drives, using external 5 TB drives from Staples, and keeping active machines “clean” for better AI performance [00:22:30] Tech Practice #2: immerse yourself in what is happening with AI and law practice, become a master of one AI platform, and continuously read ethics and disciplinary decisions about AI use 📚 [00:23:15] Tech Practice #3: your head is your most important piece of technology—using judgment, stepping back to assess risks, and making sure anything submitted to court or client is accurate [00:24:00] Economic access, hardware costs, and why Alan still believes lower‑resource attorneys can get workable hardware by being strategic about purchases, specs, and lifecycles [00:25:10] Michael’s storage philosophy: lots of local SSD, multiple backups, and revisiting older briefs and arguments (e.g., mailbox‑rule analysis) to build new work more efficiently [00:26:10] Disk space versus backup strategy, internal vs external drives, cloud vs local files, and disaster recovery considerations [00:27:20] Question 3: top three early technology decisions Alan made around paperless practice, automation, and AI‑powered research [00:27:40] Answer #1: going fully paperless in 2005—the first paperless practice in New England—and eliminating almost all postage costs by sending encrypted electronic communications and demand packages ✉️ [00:28:15] Answer #2: becoming a power‑user of Adobe Acrobat and PDF workflows so he can respond to massive production requests (e.g., 10,000 pages) in seconds instead of hours 📑 [00:29:00] Answer #3: adopting case management platforms with AI‑driven workflows that automatically assemble record requests, HIPAA authorizations, and certifications for medical providers [00:29:45] Dusty hardware: why Alan’s printer and ScanSnap are seeing less use, yet scanners remain necessary for partners who still prefer paper and non‑electronic delivery 🖨️ [00:30:20] Michael’s own shrinking paper consumption, stamps.com, and transitioning to PDF‑based workflows with secure electronic delivery [00:31:00] Adobe Acrobat as “gold standard” for lawyers, why every attorney must understand PDFs deeply, and Alan’s “learn it, love it, live it” mantra 📄 [00:31:40] Bonus segment: what the ABA Legal Technology Resource Center (LTRC) is, its role as a “delivery board,” and how it serves both the Law Practice Division and the broader ABA membership 🏛️ [00:32:20] LTRC’s four pillars of law practice management—marketing, technology, practice, and finance—and how it delivers content via Law Technology Today, webinars, podcasts, and roundtables [00:33:10] 2024–25 LTRC theme: AI‑centric content from intake through trial, and why Alan believes LTRC may become the ABA’s most important board for practitioners navigating AI [00:34:00] Using AI for law‑firm marketing, content creation, case‑law recaps, and SEO—along with warnings about legal advice, PII, and AI‑generated “SEO articles” that sound inauthentic [00:35:00] Call to action: join the ABA Law Practice Division and LTRC, become one of roughly 30 tech‑focused thought leaders, and help shape AI guidance for the profession 🙌 [00:36:00] Where to find Alan: why he is minimizing social presence during a major move and high‑stakes case, and the best way to reach him on LinkedIn Hardware mentioned in the conversation Fujitsu ScanSnap iX1600 scanners – HP HD monitors – HP LaserJet printers – iPhone – Lenovo laptops – Mac mini – reMarkable 2 tablet – Software & cloud services mentioned Adobe Acrobat – ChatGPT – OpenAI ChatGPT – Claude – Anthropic Claude – Dropbox – Microsoft OneDrive – Stamps.com – Zoom – /episode/index/show/thetechsavvylawyerdotpage/id/41211875

Bonus Episode: 📌 TSL Labs “Deep Dive” into our April 20, 2026, editorial - Dynamic Random-Access Memory (DRAM): Why It Matters for Law Firm Performance and Data Security ⚖️💻 04/24/2026

Bonus Episode: 📌 TSL Labs “Deep Dive” into our April 20, 2026, editorial - Dynamic Random-Access Memory (DRAM): Why It Matters for Law Firm Performance and Data Security ⚖️💻 Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we break down our April 20, 2026, Tech‑Savvy Lawyer editorial on how a global DRAM shortage and AI data center demand are driving up PC prices, pushing many legal professionals toward Apple hardware, and redefining what technological competence really means. We explore how unified memory, on‑device AI, and long‑term support lifecycles are changing the Mac vs. Windows calculus, and why “cheap but weak” laptops may now create serious competence and confidentiality risks for your clients. In our conversation, we cover the following: 00:00 – Why upgrading your work laptop in 2026 feels like buying a luxury vehicle, not a routine office expense. 00:45 – Setting the stage: a “seismic shift” in hardware pricing hitting professional industries, with a focus on the legal field.01:30 – Introducing Michael D.J. Eisenberg’s Tech‑Savvy Lawyer editorial and its core thesis about a tech hardware crisis. 02:15 – The global DRAM crunch: how AI data centers are buying up memory like airlines hoard jet fuel, and why PC OEMs are getting squeezed. 03:30 – Microsoft’s April 2026 Surface price hikes and the end of the “Windows is cheaper” assumption for law firms. 05:15 – The “value inversion”: when high‑end Windows laptops now cost more than roughly comparable MacBooks. 06:30 – Why this isn’t a normal tech price cycle and how it breaks 20 years of corporate IT purchasing assumptions. 07:15 – Apple’s structural advantage: vertical integration, unified memory, and shielding itself from spot‑market DRAM volatility. 08:30 – The M‑series (M5) advantage: performance per watt, thermal behavior, battery life, and running local AI plus heavy legal workloads. 09:45 – Yes, Apple prices are rising too—why the relative “security‑to‑cost” and performance story still favors Macs for many professionals. 10:45 – When “cheap but weak” hardware crosses the line: connecting underpowered laptops to ABA Model Rule 1.1 (competence) and Comment 8 on tech competence. 12:00 – From annoyance to ethical exposure: how sluggish systems cripple eDiscovery, AI‑driven research, and document automation. 13:00 – Why laptop purchasing is now core client‑service strategy, not just a back‑office procurement task. 13:45 – On‑device vs. cloud AI: where computation happens, why that matters, and how it ties into ABA Model Rule 1.6 (confidentiality). 14:30 – The role of Apple’s Neural Engine and local processing in reducing reliance on external AI APIs and third‑party servers. 15:30 – Clarifying the security nuance: Windows is not inherently less secure, but comparable on‑device AI capability often costs more. 16:30 – Redefining security in 2026: it’s not just antivirus and passwords; it’s where the AI thinking physically happens. 17:15 – Building a documented purchase matrix: price, performance, storage, memory, security, lifecycle, and critical software compatibility. 18:15 – When you can’t leave Windows: legacy legal software, state e‑filing systems, and the hidden costs of moving to macOS. 19:00 – Survival strategies for Windows‑locked practices: non‑Surface OEMs, staggered refresh cycles, and buying fewer but higher‑quality machines. 19:45 – Treating laptops as long‑term infrastructure instead of disposable commodities. 20:15 – Big‑picture recap: DRAM shortages, unified memory, ethical duties, and shifting hardware norms in law practice. 20:45 – The closing question: will AI‑driven hardware requirements quietly raise the price of access to justice? RESOURCES Mentioned in the episode ABA Model Rule 1.1 – Competence – ABA Model Rule 1.6 – Confidentiality of Information – Hardware mentioned in the conversation Microsoft Surface Pro (2026 lineup) – Microsoft Surface Laptop (2026 lineup) – Apple MacBook Air (M‑series) – Apple MacBook Pro (M‑series) – Apple “MacBook Neo” (M5‑class device referenced in editorial context) – Software & Cloud Services mentioned in the conversation eDiscovery / AI‑driven review platforms (category reference) – / (illustrative vendors) AI‑driven legal research tools (category reference) – / / (illustrative vendors) Complex document automation (category reference) – / (illustrative vendors) Parallels Desktop (virtualization for Windows on Mac) – Remote desktop / virtual desktop infrastructure (VDI) tools (category reference) – / (illustrative) If you want your next laptop purchase to strengthen—not weaken—your ethical obligations, client security, and AI‑powered workflows, hit play now and learn how to build a smarter, future‑proof hardware strategy. 🎧💡 /episode/index/show/thetechsavvylawyerdotpage/id/41014900

TSL.P Podcast, Special Ep. - Podcasting for Lawyers: The Truth Behind the Mic – ABA TECHSHOW 2026 (Special Audio‑Only Episode) 🎙️⚖️ 04/14/2026

TSL.P Podcast, Special Ep. - Podcasting for Lawyers: The Truth Behind the Mic – ABA TECHSHOW 2026 (Special Audio‑Only Episode) 🎙️⚖️ This special episode features the audio‑only release of an ABA TECHSHOW 2026 panel I was excited to be part of: “Podcasting for Lawyers: The Truth Behind the Mic,” with moderator Ruby Powers and fellow panelists Gyi Tsakalakis and Stephanie Everett. 🎧 Instead of our usual one‑on‑one format, you will hear a live, conference‑style conversation about how lawyers can use podcasting, video, and modern legal technology to build authority, strengthen client and referral relationships, and stay aligned with legal‑ethics and professionalism rules. Join Ruby, Gyi, Stephanie, and me as we discuss the following three questions and more! How can lawyers design and sustain a podcast that supports their practice goals and speaks to a clearly defined audience? What practical tech stacks—microphones, recording platforms, hosting services, and workflow tools—are realistic for busy attorneys and legal professionals? How do podcasting, video, and short‑form content contribute to SEO, GEO, and long‑term business development for law firms? In our conversation, we cover the following 00:00 – Welcome to ABA TECHSHOW 2026 and introduction of the panel: Ruby Powers (moderator), Gyi Tsakalakis, Stephanie Everett, and Michael D.J. Eisenberg. 🎙️ 02:00 – Each panelist explains their podcast, ideal listener, and why they chose podcasting as a medium. 06:00 – Publishing cadence: weekly, bi‑weekly, and how consistency drives listener trust and download growth. 10:00 – Adding video and YouTube to audio‑only shows and how video clips improve discovery on social media. 14:00 – DIY production vs. using producers, internal teams, or podcast networks, including time and cost trade‑offs. 18:00 – Core tech stacks in practice: microphones, Zoom, Riverside, StreamYard, Descript, Libsyn, Calendly, Buffer, and other essentials. 💻 24:00 – Guest selection, outreach, and sound checks; when to decline an appearance or reschedule due to poor audio or bad fit. 30:00 – Using podcast hosting analytics and social‑platform insights to understand who is listening and what resonates. 35:00 – Podcasting as networking and “virtual coffee”: building relationships with lawyers, experts, and vendors. ☕ 40:00 – SEO and GEO benefits: how episodes create long‑tail visibility in search, and why attribution still matters. 45:00 – Ethics and professionalism: confidentiality, bar‑advertising rules, disclaimers, and avoiding client‑identifying facts. ⚖️ 52:00 – Final advice for lawyers on the fence about starting a podcast and how to improve with each episode instead of waiting for perfection. RESOURCES Connect with the panel ABA TECHSHOW 2026 session: “Podcasting for Lawyers: The Truth Behind the Mic” – Gyi Tsakalakis – Lunch Hour Legal Marketing – Ruby Powers – Power Strategy Group – 😊 Stephanie Everett – Lawyerist / The Lawyerist Podcast – Mentioned in the episode (non‑hardware / non‑software) ABA TECHSHOW – Clio Cloud Conference – The Lawyers’ Guide to Podcasting by Michael D.J. Eisenberg – 📘 Podcast Movement - Podfest Expo - Power Up Your Practice by Ruby Powers – Prenups.com – Hardware mentioned in the conversation PlexiCam camera mount – Shure MV7 microphone – 🎙️ Software & Cloud Services mentioned in the conversation Buffer – Calendly – Descript – Facebook – GarageBand – Libsyn (podcast hosting) – LinkedIn – Riverside – StreamYard – YouTube – Zoom – /episode/index/show/thetechsavvylawyerdotpage/id/40869980

🎙️ Ep. #134 — AI-Powered Legal Writing: How BriefCatch Helps Lawyers Write Smarter, Not Harder with Ross Guberman. 03/31/2026

🎙️ Ep. #134 — AI-Powered Legal Writing: How BriefCatch Helps Lawyers Write Smarter, Not Harder with Ross Guberman. My next guest is Ross Guberman — founder of BriefCatch, nationally recognized legal writing trainer, and author of several acclaimed books on persuasive legal writing. Ross has trained thousands of lawyers and judges across the country. After years of teaching the craft of legal writing, he channeled that expertise into building BriefCatch — a purpose-built AI writing tool that lives right inside Microsoft Word and Outlook, scanning your legal documents using roughly 17,000 rules to help you write cleaner, sharper, and more persuasive work product. Whether you're a solo practitioner or part of a large firm, Ross brings insights that are immediately practical — no matter your tech comfort level. 🚀 Join Ross Guberman and me as we discuss the following three questions and more! 🏆 From your vantage point — having trained thousands of lawyers and judges and now running BriefCatch — what are the top three ways lawyers can leverage AI-driven writing tools like BriefCatch inside Word and Outlook to measurably improve the quality and persuasiveness of their briefs without sacrificing their own voice or judgment? ⚖️ For a tech-curious but time-strapped practitioner, what are the top three everyday workflows beyond traditional brief writing where lawyers are leaving the most value on the table by not using tools like BriefCatch and other legal tech? 🔮 Looking ahead five years, what are the top three technology competencies every lawyer must develop — not just "nice to have" skills — to collaborate effectively with AI, stay ethically compliant, and turn technology into a genuine competitive advantage rather than a source of risk? In our conversation, we cover the following: [00:30] 💻 Ross's current tech setup — MacBook Pro M4 Max, macOS, and iPhone 16 [01:30] 🔄 Why keeping your OS updated matters — security and performance [03:00] 🖥️ External monitors, portable screens, and traveling with tech [07:00] 📱 Using your iPad as an external monitor via Apple Sidecar [08:30] 🎪 Bonus Question #1 - Ross’s experience in the ABA TECHSHOW Startup Alley [11:00] ✍️ Question #1 — Top 3 ways to use AI writing tools to improve briefs without losing your voice [12:00] 🧑‍⚖️ Using AI to role-play as a skeptical judge or opposing counsel to pressure-test your brief [13:00] 📊 Transforming fact sections into timelines and case law into comparison charts [14:00] 📝 Using AI as a self-check for hyperbole, redundancy, and tone [15:30] 📲 How judges now read briefs on iPads — and what that means for your writing style [17:00] 📂 Using Text Expander to store and deploy your best prompts [18:30] 🎙️ Google Notebook LLM as a learning and podcast creation tool [20:00] 🧩 Bonus Question #2 — What is BriefCatch and why use purpose-built legal AI over general tools? [21:00] 🚀 The origin story of BriefCatch — from side hustle in 2018 to funded legal tech startup [22:30] ⚙️ Workflow, ethics rules, and attorney-specific conventions — why legal-specific AI wins [24:30] 📋 Question #2 — Top 3 underused everyday workflows for lawyers using AI [25:00] 📧 Using AI with your email to surface unanswered messages and unresolved threads [25:45] 📁 Mining your past work product for patterns, style, and reusable language [26:30] 📅 Having AI review your calendar and correspondence for efficiency insights [27:00] 🔒 Data privacy, security settings, and the risks of default AI configurations [28:30] 🏛️ New York State's data protection approach and what more states should do [29:30] 🤖 Question #3 — Top 3 technology competencies every lawyer must master in the next five years [30:00] 🧠 Understanding how LLMs actually "think" — reading the AI's reasoning chain [30:45] 🖊️ Making AI output sound like you — the human voice in an AI-generated world [31:30] 🔧 Integrating AI into your daily workflow while preserving human judgment [32:00] 👏 Closing thoughts and where to find Ross and BriefCatch Resources 🔗 Connect with Ross Guberman 📧 Email: ross@briefcatch.com 🌐 Website: https://www.briefcatch.com 💼 LinkedIn: Search "Ross Guberman" on LinkedIn at https://www.linkedin.com 📌 Mentioned in the Episode 🎤 ABA TECHSHOW — Annual legal technology conference hosted by the American Bar Association: 🎤 ABA TECHSHOW Startup Alley — Competition for early-stage legal tech startups at ABA TECHSHOW: ⚖️ Anthropic / Defense Department data privacy discussion — 🗒️ Google Notebook LLM — AI-powered note-taking and audio podcast generation tool: 📰 Legal Week New York — Premier legal industry conference: 🎙️ Mac Geek Gab Podcast (Dave Hamilton, Pilot Pete & Adam Christiansons): 🎙️ Mac Power Users Podcast (David Sparks): 🌐 MacRumors.com Buyer's Guide — Track Apple product release cycles before you buy: 📝 Text Expander — Text snippet and macro expansion tool for power users: 🖥️ Hardware Mentioned in the Conversation 📟 Apple iPad — 📱 Apple iPhone 16 — 💻 Apple MacBook Pro 16" (2024, M4 Max chip) — ⌚ Apple Watch — mentioned (Ross humorously declines to use one): ☁️ Software & Cloud Services Mentioned in the Conversation 🍎 Apple macOS Tahoe (latest OS at time of recording): 🪟 Apple Sidecar — Built-in macOS feature for using iPad as external display: ✍️ BriefCatch — AI-powered legal writing tool for Word and Outlook: 🤖 ChatGPT (OpenAI) — 🤖 Claude (Anthropic) — 🎧 Descript — Audio/Video editing tool used by the host for podcast production: 📧 Gmail — 📓 Google NotebookLM — 🛠️ GitHub — Code repository mentioned as part of BriefCatch's tech stack: 📨 Microsoft Outlook — 🪟 Microsoft Word — 🐍 Python — Programming language referenced by Ross in context of BriefCatch's development — 🗒️ Text Expander — /episode/index/show/thetechsavvylawyerdotpage/id/40721970

🎙️ Ep. #133 | AI Search, GEO & Legal Marketing Tech: How Small Law Firms Win Cases — Not Just Clicks! 03/17/2026

🎙️ Ep. #133 | AI Search, GEO & Legal Marketing Tech: How Small Law Firms Win Cases — Not Just Clicks! My next guest is Nick Cohen, Chief Operating Officer of Matador Solutions — a legal marketing think tank and agency — and a newly minted partner at Cohen Injury Law Group. Nick brings a rare dual perspective: he lives the daily grind of running a law firm AND helps over 170 firms across the country use technology and marketing strategy to grow their practice. With more than $1 billion in case value generated for clients, Nick knows what separates the law firms that thrive from the ones that spin their wheels. 🚀 Whether you are just hanging out your shingle or you have been practicing for years and feel overwhelmed by the alphabet soup of SEO, GEO, PPC, and AI, this episode breaks it all down in plain language. Nick shares actionable steps — some of which cost nothing — to help your firm show up where your next great client is already looking. ⚖️ Join Nick Cohen and me as we discuss the following three questions and more! 🤔 What are the top three ways a small or mid-size law firm can leverage AI-driven search — like Google AI Overviews and ChatGPT — to reliably generate better cases, not just more clicks? 💡 For firms that feel overwhelmed by SEO, paid search, and social media, what are the top three pieces of marketing technology or automations they should implement first to turn their website into a true new case acquisition system? 🏆 Looking across $1 billion+ in case value generated for over 170 law firms, what are the top three technology habits the most successful firms share — and what are their less successful peers simply not doing? In our conversation, we cover the following: [0:00] 🎤 Introduction & five-star review shoutout [0:45] 👨‍💼 Nick's background: Matador Solutions, Cohen Injury Law Group, and tech stack overview (Jira, Google Suite, Claude, ChatGPT, WordPress, Slack) [1:30] 💻 Hardware setup: MacBook Pro M4, desktop, HDMI monitor — what Nick runs on daily [3:00] 📱 iPhone, planned obsolescence, and the Apple ecosystem slowdown conversation [4:00] ❓ Question 1: Leveraging AI-driven search (Google AI Overviews, ChatGPT) to get better cases — not just traffic [5:00] 🔍 GEO vs. SEO explained — what is Generative Engine Optimization and why it matters for your law firm right now [6:30] 📖 The difference: SEO = Google ranking; GEO = getting cited by ChatGPT, Claude, Perplexity, and Grok [8:00] 🤖 Schema markup, robots.txt, and opening your website to LLM crawlers — practical steps any firm can take [9:00] 📋 Attorney directory listings (Avvo, Super Lawyers, FindLaw) — are they worth the money in 2026? [10:30] ✍️ Tip #2: High-quality thought leadership content as a GEO and SEO powerhouse [11:30] ⭐ Tip #3: Reviews, reviews, reviews — the single highest-ROI, zero-cost activity for any law firm [12:00] 📲 The "one-click review link" strategy: why text beats email every time [13:00] 😬 How to handle negative reviews — call first, respond professionally, and why a 4.9 rating beats a perfect 5.0 [15:00] ❓ Question 2: Top three marketing tech tools/automations for overwhelmed firms — CallRail, case management software, and understanding your channels [17:30] ❓ Question 3: The technology habits that separate high-growth firms from stagnant ones — intake systems, engagement, and growth mindset [19:30] 🗺️ How Matador Solutions walks a brand-new firm from zero to a steady stream of cases — step by step [22:00] 📬 Where to find Nick Cohen Resources 🔗 Connect with Nick Cohen 📧 Email: 💼 LinkedIn: 🌐 Website: 📚 Mentioned in the Episode (Non-Hardware / Non-Software) 🎙️ Apple Podcasts — ⚖️ Matador Solutions — Legal marketing agency — 📋 Avvo — Attorney directory — ⚖️ Cohen Injury Law Group — Nick's law firm — https://cohenandcohen.net/⭐ Facebook Reviews — 📊 GEO (Generative Engine Optimization) — The emerging discipline of optimizing for AI-driven search engines ⭐ Google Reviews — 📋 FindLaw — Attorney directory — 📋 Super Lawyers — Attorney directory — ⭐ Yelp — 💻 Hardware Mentioned in the Conversation 📱 Apple iPhone 15 — Nick's smartphone (approximate model) — 📱 Apple iPhone (latest, annual upgrade) — Michael's smartphone — 🖥️ Apple Mac Studio (M3 chip) — Michael's desktop — 🖥️ Apple MacBook Pro (M4 chip) — Nick's primary laptop — ☁️ Software & Cloud Services Mentioned in the Conversation 📞 CallRail — Call tracking & marketing ROI — 🤖 ChatGPT (OpenAI) — AI assistant & AI search — 🤖 Claude (Anthropic) — AI assistant — 🤖 Google AI Overviews — AI-powered search summaries — 📊 Google Business Profile — Local SEO & reviews — 🔍 Google Workspace / Google Suite — Productivity & search — 🤖 Grok (xAI) — AI assistant — 📋 Jira — Project management — 🎙️ Libsyn — Podcast hosting — 🤖 Perplexity — AI search engine — 💬 Slack — Team communication — 🌐 WordPress — Website platform — 🎧 Enjoy the episode? Please leave us a ⭐⭐⭐⭐⭐ five-star review on Apple Podcasts or wherever you get your podcast feeds! /episode/index/show/thetechsavvylawyerdotpage/id/40560240

TSL.P Labs 🧪 Initiative: Why 96% AI Accuracy Still Fails Lawyers: Ethics, Hallucinations, and the Future of the Billable Hour ⚖️🤖 03/06/2026

TSL.P Labs 🧪 Initiative: Why 96% AI Accuracy Still Fails Lawyers: Ethics, Hallucinations, and the Future of the Billable Hour ⚖️🤖 📌 To Busy to Read This Week’s Editorial? Welcome to the TSL Lab’s Initiative. 🤖 This weeks episode builds on my March 3rd, 2026, editorial “” is a misleading comfort blanket for lawyers, and how ABA Model Rules on confidentiality, competence, diligence, candor, supervision, and client communication must govern every AI prompt you run. Our Google LLM Notebook hosts translate the theory into practical workflows you can implement today—from document grounding and tokenization to vendor due diligence and line‑by‑line verification—so you can leverage AI confidently without sacrificing ethics, privilege, or your professional license. You will hear how document grounding changes what LLMs actually do, why uploading active case files to cloud AI tools can quietly trigger Rule 1.6 problems, and how cross‑border data flows, vendor training rights, and retention policies can erode privilege if you do not negotiate them carefully. 🔐 We also unpack practical safeguards like tokenization, internal sandbox testing, and bright‑line “danger zones” where AI must never operate unsupervised—especially on open‑ended research, choice of law, and any task that turns statistical text into real‑world legal risk. Finally, we confront the economic paradox: when AI can compress 100 hours of document review into seconds, but partners must still verify every line to protect their licenses, what exactly are clients paying for—and how does the billable hour survive? 💼 👉 Tune in now to learn how to stay tech‑forward without becoming the next ethics cautionary tale, and start designing AI policies that actually protect your clients, your firm, and your bar license. In our conversation, we cover the following 00:00 – Why “96% fewer hallucinations” is still not good enough in law ⚖️ 01:00 – How the remaining 4% error rate can trigger malpractice, sanctions, and ethics violations 02:00 – From IT issue to ethics issue: ABA Model Rules as the real constraint on AI adoption 03:00 – Document grounding 101: turning a free‑floating LLM into a reading‑comprehension engine 04:00 – The hidden danger of “just upload the file”: how Rule 1.6 confidentiality is instantly implicated 05:00 – Cloud AI architecture, cross‑border data transfers, GDPR, and privilege risk 🌐 06:00 – Model training nightmares: when your client’s trade secrets leak back out through someone else’s prompt 07:00 – Negotiating no‑training clauses and ring‑fencing vendor data use (before you upload anything) 08:00 – Tokenization explained: turning John Doe into “Plaintiff 01” without losing legal meaning 🔐 09:00 – What AI does well today: grounded summarization, clause extraction, and playbook‑based redlines 10:00 – The “danger zone” of tasks: open‑ended research, choice of law, and abstract legal reasoning 11:00 – Phantom case law: how LLMs manufacture perfect‑looking but fake citations (and Rule 3.3 candor) 12:00 – Sandboxing AI tools internally and measuring real‑world failure rates against known outcomes 🧪 13:00 – Building bright‑line firm policies around forbidden AI use cases 14:00 – Verification as a workflow, not a suggestion: what Model Rules 5.1 and 5.3 demand from supervisors 15:00 – The efficiency paradox: when partner‑level verification erases associate‑level time savings ⏱️ 16:00 – Making AI verification as routine as a conflict check in your practice 17:00 – Falling hallucination rates, rising risk: why better AI can still make lawyers more vulnerable 18:00 – Client communication under Rule 1.4: when and why clients may be entitled to know you used AI 19:00 – “You can delegate the task, not the liability”: Rule 1.2 and ultimate responsibility for AI‑assisted work 20:00 – Treating every AI prompt and ToS as a potential ethics document 📝21:00 – The existential question: if AI drafts in seconds, what exactly are clients paying lawyers for? /episode/index/show/thetechsavvylawyerdotpage/id/40603295

TSL.P EP# 132 (Special Episode): AI, Deepfakes, and Metadata: Guest-Hosting Capital University Law School’s First Law Library Podcast Club with Professor Jennifer Wondracek 🎙️⚖️ 03/03/2026

TSL.P EP# 132 (Special Episode): AI, Deepfakes, and Metadata: Guest-Hosting Capital University Law School’s First Law Library Podcast Club with Professor Jennifer Wondracek 🎙️⚖️ In this special episode, I join Professor Wondracek virtually to guest-host Capital’s very first Podcast Club session for a live conversation about AI, legal ethics, deepfakes, and metadata. We talk candidly with law students about how AI-generated evidence, consumer AI tools, and digital footprints are already impacting sanctions, privilege, and professional responsibility, then translate those issues into practical safeguards for everyday practice. Whether you are in law school, running a small firm, or managing litigation for a larger organization, this inaugural Podcast Club episode shows how to stay competent, secure, and credible when AI and technology are part of your case strategy. Questions section Join Professor Jennifer Wondracek and me as we discuss the following three questions and more! How do deepfakes and manipulated digital evidence challenge a lawyer’s ethical duties under core rules on competence, candor to the tribunal, and honesty? What can we learn from recent cases involving deepfake videos, privilege risks in consumer AI tools, and sanctions for hallucinated citations when designing our own AI workflows? How can lawyers and law students build realistic, sustainable practices for reviewing metadata, using VPNs and secure Wi‑Fi, and choosing secure legal AI and eDiscovery tools? Timestamps In our conversation, we covered the following: 00:00 – Welcome to Capital University Law School’s first Podcast Club: live recording and today’s focus on AI and ethics 🎓 01:00 – Introducing Michael D.J. Eisenberg as guest host and his work with veterans, and The Tech-Savvy Lawyer.Page and 📚 02:30 – What is a deepfake, and how a staged “” highlights the real-world risk of fake video evidence 🚨 04:00 – Applying competence rules to technology: why “I didn’t know” is not a sustainable defense for lawyers 05:00 – Everyday tech risks: public Wi‑Fi, airports, coffee shops, and why lawyers must use VPNs when client information is involved 🌐 06:30 – Discussing NordVPN, ExpressVPN, and how unsecured sessions can compromise client portals, trust accounts, and email 🔐 07:30 – First steps in vetting digital evidence: what to look for in image files and when to call in a forensic expert 08:30 – Lessons from deepfake litigation and obviously altered video: shadows, color-in-black-and-white, and credibility with the court 🎥 10:00 – Candor to the tribunal and rules against dishonesty, fraud, and misrepresentation in the AI era 11:00 – Student question: can you rely on built-in operating system tools to review metadata, or do you need specialist software? 🖼️ 13:30 – Live demo: opening file properties, reading timestamps, device info, and geotags to validate or challenge evidence 16:00 – When scrubbed metadata makes sense, when it doesn’t, and how to request original metadata in discovery 18:00 – Five practical safeguards for new and experienced lawyers: education, protocols, client transparency, updated letters, and constant monitoring of AI changes ✅ 20:00 – Why refusing to learn AI and tech is itself a risk to your bar license and your clients’ interests 21:00 – Student Q&A: low-resource firms, large volumes of data, and using sampling plus AI to stretch limited budgets 22:30 – Using legal AI to surface anomalies in documents and metadata while still protecting privilege 23:00 – How consumer AI terms and conditions can put privilege and work product at risk, and what to look for in safer options ⚠️ 24:00 – Free vs paid AI accounts: retention, training, and why personally identifiable information doesn’t belong in general chatbots 25:00 – Evaluating legal AI vendors: zero retention, encryption, prompt confidentiality, and subpoena requirements 26:00 – Using tightly controlled legal research platforms and “vault” environments to access models like GPT or Claude securely 🧠 27:00 – Documenting prompts and AI use so that, if questioned by a court or bar, you can show reasonable diligence 28:30 – Reasonable metadata review in practice: random sampling, documenting your process, and knowing when to bring in eDiscovery tools 30:00 – How modern eDiscovery platforms surface metadata and support deeper analysis at scale 📂 31:00 – Staying current on AI and tech: newsletters, bar alerts, court updates, and following The Tech-Savvy Lawyer 32:30 – AI hallucinated citations and sanctions: how one New York matter became a warning to the entire profession 💸 34:30 – Firm-wide consequences when AI misuse becomes a pattern: reputational damage, client impact, and even firm dissolution 36:00 – Owning mistakes, repairing trust with judges, and why transparency matters more than perfection 37:00 – Live giveaway of during the first Podcast Club session 🎲 38:00 – Inviting students to Capital’s upcoming summit/bootcamp and to dinner at the , plus closing thoughts on the future of tech competence 🍽️ Resources Connect with Professor Jennifer Wondracek: LinkedIn: E-Mail: Software & Services: NordVPN - ExpressVPN - Lexis - Westlaw - /episode/index/show/thetechsavvylawyerdotpage/id/40488695

TSL Labs 🧪 Initiative: Attorney-Client Privilege vs. Public AI: The Hoeppner Decision Lawyers Need to Understand in 2026 ⚖️🤖 02/27/2026

TSL Labs 🧪 Initiative: Attorney-Client Privilege vs. Public AI: The Hoeppner Decision Lawyers Need to Understand in 2026 ⚖️🤖 Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 We unpack the February 23, 2026, editorial . Our Google Notebook LLM hostsbreaks down why a single click on a public AI tool’s Terms of Use can trigger a privilege waiver, and what “tech competence” really means in 2026—especially after and Judge Jed Rakoff’s wake-up-call analysis of confidentiality and third-party disclosure risk. 🔗 Read the full editorial on The Tech-Savvy Lawyer.Page and share this episode with a colleague who is experimenting with AI in client matters. In our conversation, we cover the following 00:00 — The “superhuman assistant” promise, and the procedural nightmare risk. 🧠⚖️ 00:01 — The core warning: AI use can “blow a hole” in privilege. 00:02 — Editorial overview: “The AI Privilege Trap” by Michael D.J. Eisenberg. 00:02 — The case: United States v. Hoeppner (SDNY) and why it matters. 00:03 — Why Judge Jed Rakoff’s opinion gets attention (tech-literate, influential). 00:03 — The facts: defendant drafts with a public AI tool, then sends outputs to counsel. 00:04 — The court’s conclusion: no attorney-client privilege, no work product protection. 00:05 — Privilege basics applied to AI: “confidential + lawyer” and why AI fails that test. 00:06 — The Terms-of-Use problem: inputs/outputs may be collected and shared. 🧾 00:07 — The “stranger on the street” analogy: you can’t retroactively make it confidential. 00:08 — PII and client facts: why pasting sensitive data into public AI is high-risk. 00:08 — ABA Model Rule 1.1: competence includes understanding tech risks. 00:09 — ABA Model Rule 1.6: confidentiality and waiver risk with public AI. 00:10 — “Reasonable safeguards”: read policies, adjust settings, and know training/logging. 00:11 — Public vs. enterprise AI: why contracts and “walled gardens” matter. 00:11 — Legal research AI examples discussed: Lexis/Westlaw-style AI offerings. 00:12 — ABA Model Rules 5.1 & 5.3: supervise AI like a nonlawyer assistant/vendor. 00:13 — Redefining “tech-savvy lawyer” in 2026: judgment and restraint. 🧭 00:14 — The “straight-face test”: could you defend confidentiality after a judge reads the policy? 00:15 — Client-side risk: clients can sabotage privilege before contacting counsel. 00:16 — Practical takeaway: check settings, read the fine print, keep true secrets offline (for now). 🔒 RESOURCES Mentioned in the episode (Rules , , , , ) Software & Cloud Services mentioned in the conversation Lexis (Lexis+ AI category mentioned) — Microsoft Word — Public generative AI “chatbot” tools (general category) — Westlaw (Westlaw AI category mentioned) — /episode/index/show/thetechsavvylawyerdotpage/id/40297415

TSL.P Labs 🧪: Lawyers and AI Oversight: What the VA’s Patient Safety Warning Teaches About Ethical Law Firm Technology Use! ⚖️🤖 02/20/2026

TSL.P Labs 🧪: Lawyers and AI Oversight: What the VA’s Patient Safety Warning Teaches About Ethical Law Firm Technology Use! ⚖️🤖 Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this episode, we discuss our February 16, 2026, editorial, “” and explore why treating AI-generated drafts as hypotheses—not answers—is quickly becoming a survival skill for law firms of every size. We connect a real-world AI failure risk at the Department of Veterans Affairs to the everyday ways lawyers are using tools like chatbots, and we translate ABA Model Rules into practical oversight steps any practitioner can implement without becoming a programmer. In our conversation, we cover the following: 00:00:00 – Why conversations about the future of law default to Silicon Valley, and why that’s a problem ⚖️ 00:01:00 – How a crisis at the U.S. Department of Veterans Affairs became a “mirror” for the legal profession 🩺➡️⚖️ 00:03:00 – “Speed without governance”: what the VA Inspector General actually warned about, and why it matters to your practice 00:04:00 – From patient safety risk to client safety and justice risk: the shared AI failure pattern in healthcare and law 00:06:00 – Shadow AI in law firms: staff “just trying out” public chatbots on live matters and the unseen risk this creates 00:07:00 – Why not tracking hallucinations, data leakage, or bias turns risk management into wishful thinking 00:08:00 – Applying existing ABA Model Rules (, , , , and ) directly to AI use in legal practice 00:09:00 – Competence in the age of AI: why “I’m not a tech person” is no longer a safe answer 🧠 00:09:30 – Confidentiality and public chatbots: how you can silently lose privilege by pasting client data into a text box 00:10:30 – Supervision duties: why partners cannot safely claim ignorance of how their teams use AI 00:11:00 – Candor to tribunals: the real ethics problem behind AI-generated fake cases and citations 00:12:00 – From slogan to system: why “meaningful human engagement” must be operationalized, not just admired 00:12:30 – The key mindset shift: treating AI-assisted drafts as hypotheses, not answers 🧪 00:13:00 – What reasonable human oversight looks like in practice: citations, quotes, and legal conclusions under stress test 00:14:00 – You don’t need to be a computer scientist: the essential due diligence questions every lawyer can ask about AI 00:15:00 – Risk mapping: distinguishing administrative AI use from “safety-critical” lawyering tasks 00:16:00 – High-stakes matters (freedom, immigration, finances, benefits, licenses) and heightened AI safeguards 00:16:45 – Practical guardrails: access controls, narrow scoping, and periodic quality audits for AI use 00:17:00 – Why governance is not “just for BigLaw” and how solos can implement checklists and simple documentation 📋 00:17:45 – Updating engagement letters and talking to clients about AI use in their matters 00:18:00 – Redefining the “human touch” as the safety mechanism that makes AI ethically usable at all 🤝 00:19:00 – AI as power tool: why lawyers must remain the “captain of the ship” even when AI drafts at lightning speed 🚢 00:20:00 – Rethinking value: if AI creates the first draft, what exactly are clients paying lawyers for? 00:20:30 – Are we ready to bill for judgment, oversight, and safety instead of pure production time? 00:21:00 – Final takeaways: building a practice where human judgment still has the final word over AI RESOURCES Mentioned in the episode Interview by of the of Charyl Mason, Inspector General of the Department of Veterans Affairs, “”. Software & Cloud Services mentioned in the conversation ChatGPT — Lexis - Westlaw - /episode/index/show/thetechsavvylawyerdotpage/id/40240955

🎙️ Ep. #131, Supercharging Litigation With AI: How StrongSuit Helps Lawyers Transform Research, Doc Review, and Drafting 💼⚖️ 02/17/2026

🎙️ Ep. #131, Supercharging Litigation With AI: How StrongSuit Helps Lawyers Transform Research, Doc Review, and Drafting 💼⚖️ My next guest is Justin McCallan, founder of StrongSuit, an AI-powered litigation platform built to transform how litigators handle legal research, document review, and drafting while keeping lawyers firmly in control. In this episode, Justin and I dig into practical, real-world workflows that solos, small firms, and big-firm litigators can use today and over the next few years to change the economics, pace, and strategy of litigation—without sacrificing accuracy, ethics, or the quality of advocacy. Join Justin and me as we discuss the following three questions and more! What are the top three ways litigators should be using AI tools like StrongSuit right now to change the economics and pace of litigation without sacrificing accuracy, ethics, or quality of advocacy? What are the top three mistakes lawyers make when adopting AI for litigation, and what practical workflows help lawyers stay in the loop and use AI as a force multiplier instead of a risk? Looking ahead to 2026 and beyond, what are the top three AI-driven workflows every litigator should master to stay competitive, and how can platforms like StrongSuit help build those capabilities into day-to-day practice? In our conversation, we cover the following 00:00 – Welcome and guest introduction Justin joins the show and shares his current tech setup at his desk. 00:00–01:00 – Justin’s current tech stack Lenovo laptop, ultra-wide monitor, and regular use of StrongSuit, ChatGPT, and Gemini for different AI tasks. Everyday tools: Microsoft Word and Power BI for analytics and fast decision-making. 01:00–02:00 – Android vs. iPhone for AI use Why Justin has been on Android for 17 years and how UI/UX familiarity often drives device choice more than AI capability. 02:00–05:30 – Q1: Top three ways litigators should be using AI right now Using AI for end-to-end legal research across 11 million precedential U.S. cases to build litigation outlines and identify key authorities. Scaling document review so AI surfaces relevant documents and synthesizes insights while lawyers focus on strategy and judgment. Leveraging AI for drafting and editing—improving style, clarity, and consistency beyond traditional spelling and grammar checks. 05:30–07:30 – StrongSuit vs. basic tools like Word grammar check How StrongSuit aims to “up-level” a lawyer’s writing, not just catch typos. Stylistic improvements, clarity enhancements, and catching subtle inconsistencies in legal documents. 06:00–08:00 – AI context limits and scaling doc review Constraints of large models’ context windows (around ~1M tokens ≈ ~750 pages). How StrongSuit runs multiple AI agents in parallel, each handling small page sets with heuristics to maintain cohesion and share insights. 08:00–09:00 – Handling tens of thousands of documents How StrongSuit can handle between roughly 10,000–50,000 pages at a time, with the ability to scale further for enterprise matters. 09:00–11:30 – Origin story of StrongSuit Why Justin saw a once-in-a-generation opportunity when large language models emerged and how law, with its precedent and text-heavy nature, is especially suited to AI. StrongSuit’s focus on litigators: supporting lawyers from intake through trial while keeping them in the loop at every step. 11:30–13:30 – From intake to brief drafting in minutes Generating full litigation outlines, research, and analysis in about ten minutes, then moving directly into drafting memos, briefs, complaints, and motions. StrongSuit’s long-term goal: automating 50–99% of major litigation workflows by the end of 2026 while preserving lawyer control and judgment. 12:00–14:30 – How StrongSuit tackles hallucinations Building a full database of all precedential U.S. cases enriched with metadata: parties, summaries, holdings, and more. Validating citations by checking whether the Bluebook citation actually exists in StrongSuit’s case database before surfacing it to the user. Why lawyers should still review cases on-platform before filing, even when AI has filtered out hallucinations. 14:30–16:30 – Coverage and jurisdictions Coverage of all U.S. jurisdictions, federal and state, focused on precedential cases. Handling most regulations from administrative agencies, and limits around local ordinances. Uploading your own case files and using complaints and prior research as inputs into StrongSuit workflows. 15:00–17:00 – Security and confidentiality for litigators SOC 2 compliance and industry-standard encryption at rest and in transit. No model training on user data. Optional end-to-end encryption that can even prevent developers from accessing case content, using local encryption keys. 16:30–20:30 – Q2: Top mistakes lawyers make when adopting AI for litigation Mistake #1: Talking about AI instead of diving in with structured experiments and sanitized documents. Using a framework to identify high-impact tasks: high volume, repetitive work, and heavy data/analysis (e.g., doc review, research, contract drafting). How to shortlist tools: look for SOC 2, real product depth, awards, and a focus on your specific workflows. Mistake #2: Expecting immediate mastery instead of moving through predictable adoption stages—from learning the tool, to daily use, to stringing workflows together. 20:30–22:30 – Building firm-wide AI workflows over time Moving from isolated experiments to integrated, low-friction workflows, such as automatic intake-to-research pipelines. Using client intake audio or transcripts to automatically extract facts, issues, and research paths. 22:30–24:30 – Time constraints and “no-time” lawyers Why lawyers don’t need to be “technical” to use StrongSuit. Reframing AI as text-based tools where lawyers’ writing skills and analytical thinking are assets, not obstacles. 24:00–26:00 – Practical workflows beyond intake Using AI to prepare for expert depositions, including reviewing valuation analyses, flagging departures from market consensus, and generating targeted questions. Reinforcing the value of AI-enhanced legal research and drafting as core litigation workflows. 26:00–29:30 – Q3: 2026 and beyond – AI-driven workflows every litigator should master Rapid improvement of baseline models (e.g., jumping from single-digit to high double-digit performance on difficult benchmarks year over year). The idea of “tipping points,” where small performance gains turn AI from marginally useful to essential in specific tasks. Why legal research is a great training ground for understanding where AI excels, where it falls short, and how to divide labor between human and machine. The value of learning basic prompting skills to get more from AI systems, even when platforms offer visual workflows. 29:30–32:30 – Will workflows actually change—or just get better? Why Justin expects familiar litigation workflows (doc review, research, drafting) to remain structurally similar, but become far faster and more sophisticated. AI agents handling the grind work while lawyers focus on synthesis, judgment, and strategy. A future where “AI + lawyer vs. AI + lawyer” resembles high-level chess: same rules, but much deeper thinking on both sides. 32:30–End – Where to find Justin and StrongSuit How to connect with Justin and learn more about StrongSuit’s litigation tools. Resources Connect with Justin Justin McCallan on LinkedIn – StrongSuit website – Hardware mentioned in the conversation Android smartphone – Lenovo laptop – Software & Cloud Services mentioned in the conversation ChatGPT – Gemini – Microsoft Power BI – Microsoft Word – StrongSuit AI litigation platform – 🤖 /episode/index/show/thetechsavvylawyerdotpage/id/40163365

TSL.P Labs 🧪: Courts Are Punishing Fake AI Evidence: How to Protect Your Cases, Clients, and License ⚖️🤖 02/13/2026

TSL.P Labs 🧪: Courts Are Punishing Fake AI Evidence: How to Protect Your Cases, Clients, and License ⚖️🤖 Everyday devices can capture extraordinary evidence, but the same tools can also manufacture convincing fakes. 🎥⚖️ In this episode, we unpack our on how courts are punishing fake digital and AI-generated evidence, then translate the risk into practical guidance for lawyers and legal teams. You’ll hear why judges are treating authenticity as a frontline issue, what ethical duties get triggered when AI touches evidence or briefing, and how a simple “authenticity playbook” can help you avoid career-ending mistakes. ✅ In our conversation, we cover the following 00:00:00 – Preview: From digital discovery to digital deception, and the question of what happens when your “star witness” is actually a hallucination or deepfake 🚨 00:00:20 – Introducing the editorial “Everyday Tech, Extraordinary Evidence Again: How Courts Are Punishing Fake Digital and AI Data.” 📄 00:00:40 – Welcome to the Tech-Savvy Lawyer.Page Labs Initiative and this AI Deep Dive Roundtable 🎙️ 00:01:00 – Framing the episode: flipping last month’s optimism about smartphones, dash cams, and wearables as case-winning “silent witnesses” to their dark mirror—AI-fabricated evidence 🌗 00:01:30 – How everyday devices and AI tools can both supercharge litigation strategy and become ethical landmines under the ABA Model Rules ⚖️ 00:02:00 – Panel discussion opens: revisiting last month’s “Everyday Tech, Extraordinary Evidence” AI bonus and the optimism around smartphone, smartwatch, and dash cam data as unbiased proof 📱⌚🚗 00:02:30 – Remembering cases like the Minnesota shooting and why these devices were framed as “ultimate witnesses” if the data is preserved quickly enough 🕒 00:03:00 – The pivot: same tools, new threats—moving from digital discovery to digital deception as deepfakes and hallucinations enter the evidentiary record 🤖 00:03:30 – Setting the “mission” for the episode: examining how courts are reacting to AI-generated “slop” and deepfakes, with an increasingly aggressive posture toward sanctions 💣 00:04:00 – Why courts are on high alert: the “democratization of deception,” falling costs of convincing video fakes, and the collapse of the old presumption that “pictures don’t lie” 🎬 00:04:30 – Everyday scrutiny: judges now start with “Where did this come from?” and demand details on who created the file, how it was handled, and what the metadata shows 🔍 00:05:00 – Metadata explained as the “data about the data”—timestamps, software history, edit traces—and how it reveals possible AI manipulation 🧬 00:06:00 – Entering the “sanction phase”: why we are beyond warnings and into real penalties for mishandling or fabricating digital and AI evidence 🚫 00:06:30 – Horror Story #1 (Mendon v. Cushman & Wakefield, Cal. Super. Ct. 2025): plaintiffs submit videos, photos, and screenshots later determined to be deepfakes created or altered with generative AI 🧨 00:07:00 – Judge Victoria Kakowski’s response: finding that the deepfakes undermined the integrity of judicial proceedings and imposing terminating sanctions—“death penalty” for the lawsuit ⚖️ 00:07:30 – How a single deepfake “poisons the well,” destroying the court’s trust in all of a party’s submissions and forfeiting their right to the court’s time 💥 00:08:00 – Horror Story #2 (S.D.N.Y. 2023): the New York “hallucinating lawyer” case where six imaginary cases generated by ChatGPT were filed without verification 📚 00:08:30 – Rule 11 sanctions and humiliation: Judge Castel’s order, monetary penalty, and the requirement to send apology letters to real judges whose names were misused ✉️ 00:09:00 – California follow-on: appellate lawyer Amir Mustaf files an appeal brief with 21 fake citations, triggering a 10,000-dollar sanction and a finding that he did not read or verify his own filing 💸 00:09:30 – Courts’ reasoning: outsourcing your job to an AI tool is not just being wrong—it is wasting judicial resources and taxpayer money 🧾 00:10:00 – Do we need new laws? Why Michael argues that existing ABA Model Rules already provide the safety rails; the task is to apply them to AI and digital evidence, not to reinvent them 🧩 00:10:20 – Rule 1.1 (competence): why “I’m not a tech person” is no longer a viable excuse if you use AI to enhance video or draft briefs without understanding or verifying the output 🧠 00:11:00 – Rule 1.6 (confidentiality): the ethical minefield of uploading client dash cam video or wearable medical data to consumer-grade AI tools and risking privilege leakage ☁️ 00:11:30 – Training risk: how client data can end up in model training sets and why “quick AI summaries” can inadvertently expose secrets 🔐 00:12:00 – Rules 3.3 and 4.1 (candor and truthfulness): presenting AI-altered media as original or failing to verify AI output can now be treated as misrepresentation 🤥 00:12:30 – Rules 5.1–5.3 (supervision): why partners and supervising lawyers remain on the hook for juniors, staff, and vendors who misuse AI—even if they didn’t personally type the prompts 🧑‍💼 00:13:00 – Authenticity Playbook, Step 1: mindset shift—never treat AI as a “silent co-counsel”; instead, treat it like a very eager, very inexperienced, slightly drunk intern who always needs checking 🍷🤖 00:13:30 – Authenticity Playbook, Step 2: preserve the original and disclose any AI enhancement; build a clean chain of custody while staying transparent about edits 🎞️ 00:14:00 – Authenticity Playbook, Step 3: using forensic vendors as authenticity firewalls—experts who can certify that metadata and visual cues show no AI manipulation 🛡️ 00:14:30 – Authenticity Playbook, Step 4: “train with fear” by showing your team real orders, sanctions, and public shaming rather than relying on abstract ethics lectures ⚠️ 00:15:00 – Authenticity Playbook, Step 5: documenting verification steps—logging files, tools, and checks so you can demonstrate good faith if a judge questions your evidence 📝 00:16:00 – Bigger picture: the era of easy, unchallenged digital evidence is over; mishandled tech can now produce “extraordinary sanctions” instead of extraordinary evidence 🧭 00:16:30 – Authenticity as “the moral center of digital advocacy”: if you cannot vouch for your digital evidence, you are failing in your role as an advocate 🏛️ 00:17:00 – Future risk: as deepfakes become perfect and nearly impossible to detect with the naked eye, forensic expertise may become a prerequisite for trusting any digital evidence 🔬 00:17:30 – “Does truth get a price tag?”—whether justice becomes a luxury product if only wealthy parties can afford authenticity firewalls and expert validation 💼 00:18:00 – Closing reflections: fake evidence, real consequences, and the call to verify sources and check metadata before you file ✅ 00:18:30 – Closing: invitation to visit Tech-Savvy Lawyer.Page for the full editorial, resources, and to like, subscribe, and share with colleagues who need to stay ahead of legal tech innovation 🌐 Resources Cases In (Cal. Super. Ct. Alameda County, 2025), plaintiffs submitted multiple videos, photos, and screenshots that the court determined were deepfakes or altered with generative AI.📹 Judge Victoria Kolakowski found intentional submission of false testimony and imposed terminating sanctions, dismissing the case outright and emphasizing that deepfake evidence “fundamentally undermines the integrity of judicial proceedings.”⚖️ ; Judge P. Kevin Castel sanctioned them under Rule 11 for abandoning their responsibilities and failing to verify the authorities they cited.📑 They were ordered to pay a monetary penalty and to notify the real judges whose names had been falsely invoked, a reputational hit that far exceeded the dollar amount.💸 💻 The court stressed that he had not read or verified the AI‑generated text, and treated that omission as a violation of court rules and a waste of judicial resources and taxpayer money.⚠️ ABA Model Rules (Competence): You must understand the benefits and risks of relevant technology, which now clearly includes generative AI and deepfake tools.⚖️ Using AI to draft or “enhance” without checking the output is not a harmless shortcut—it is a competence problem. ’s duty of technological competence; the new sanctions landscape simply clarifies the stakes.📚 (Confidentiality): Uploading client videos, wearable logs, or sensitive communications to consumer‑grade AI sites can expose them to unknown retention and training practices, risking confidentiality violations.🔐 (Candor to the Tribunal) and (Truthfulness): Presenting AI‑altered video or fake citations as if they were genuine is the very definition of misrepresentation, as the New York and California sanction orders make clear.⚠️ Even negligent failure to verify can be treated harshly once the court’s patience for AI excuses runs out. (Supervision): Supervising lawyers must ensure that associates, law clerks, and vendors understand that AI outputs are starting points, not trustworthy final products, and that fake or manipulated digital evidence will not be tolerated.👥 /episode/index/show/thetechsavvylawyerdotpage/id/40137365

TSL.P Labs 🧪: Legal Tech Wars, Client Data, and Your Law License: An AI-Powered Ethics Deep Dive ⚖️🤖 02/06/2026

TSL.P Labs 🧪: Legal Tech Wars, Client Data, and Your Law License: An AI-Powered Ethics Deep Dive ⚖️🤖 📌 To Busy to Read This Week’s Editorial? Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this Tech-Savvy Lawyer Page Labs Initiative episode, AI co-hosts walk through how high‑profile “legal tech wars” between practice‑management vendors and AI research startups can push your client data into the litigation spotlight and create real ethics exposure under ABA Model Rules 1.1, 1.6, and 5.3. We’ll explore what happens when core platforms face federal lawsuits, why discovery and forensic audits can put confidential matters in front of third parties, and how API lockdowns, stalled product roadmaps, and forced sales can grind your practice operations to a halt. More importantly, you’ll get a clear five‑step action plan—inventorying your tech stack, confirming data‑export rights, mapping backup providers, documenting diligence, and communicating with clients—that works even if you consider yourself “moderately tech‑savvy” at best. Whether you’re a solo, a small‑firm practitioner, in‑house, or simply AI‑curious, this conversation will help you evaluate whether you are the supervisor of your legal tech—or its hostage. 🔐 In our conversation, we cover the following 00:00:00 – Setting the stage: Legal tech wars, “Godzilla vs. Kong,” and why vendor lawsuits are not just Silicon Valley drama for spectators. 00:01:00 – Introducing the Tech-Savvy Lawyer Page Labs Initiative and the use of AI-generated discussions to stress-test legal tech ethics in real-world scenarios. 00:02:00 – Who’s fighting and why it matters: Clio as the “nervous system” of many firms versus Alexi as the “brainy intern” of AI legal research. 00:03:00 – The client data crossfire: How disputes over data access and training AI tools turn your routine practice data into high-stakes litigation evidence. 00:04:00 – Allegations in the Clio–Alexi dispute, from improper data access to claims of anti-competitive gatekeeping of legal industry data. 00:05:00 – Visualizing risk: Client files as sandcastles on a shelled beach and why this reframes vendor fights as ethics issues, not IT gossip. 00:06:00 – ABA Model Rule 1.1 (Competence): What “technology competence” really entails and why ignorance of vendor instability is no longer defensible. 00:07:00 – Continuity planning as competence: Injunctions, frozen servers, vendor shutdowns, and how missed deadlines can become malpractice. 00:08:00 – ABA Model Rule 1.6 (Confidentiality): The “danger zone” of treating the cloud like a bank vault and misunderstanding who really holds the key. 00:09:00 – Discovery risk explained: Forensic audits, third‑party access, protective orders that fail, and the cascading impact on client secrets. 00:10:00 – Data‑export rights as your “escape hatch”: Why “usable formats” (CSV, PDF) matter more than bare contractual promises. 00:11:00 – Practical homework: Testing whether you can actually export your case list today, not during a crisis. 00:12:00 – ABA Model Rule 5.3 (Supervision): Treating software vendors like non‑lawyer assistants you actively supervise rather than passive utilities. 00:13:00 – Asking better questions: Uptime, security posture, and whether your vendor is using your data in its own defense. 00:14:00 – Operational friction: Rising subscription costs, API lockdowns, broken integrations, and the return of manual copy‑pasting. 00:15:00 – Vaporware and stalled product roadmaps: How litigation diverts engineering resources away from features you are counting on. 00:16:00 – Forced sales and 30‑day shutdown notices: Data‑migration nightmares under pressure and why waiting is the riskiest strategy. 00:17:00 – The five‑step moderate‑tech action plan: Inventory dependencies, review contracts, map contingencies, document diligence, and communicate with nuance. 00:18:00 – Turning risk management into a client‑facing strength and part of your value story in pitches and ongoing relationships. 00:19:00 – Reframing legal tech tools as members of your legal team rather than invisible utilities. 00:20:00 – “Supervisor or hostage?”: The closing challenge to check your contracts, your data‑export rights, and your practical ability to “fire” a vendor. Resources Mentioned in the episode ABA Model Rule 1.1 – Competence (Technology Competence Comment) – ABA Model Rule 1.6 – Confidentiality of Information – ABA Model Rule 5.3 – Responsibilities Regarding Nonlawyer Assistance – Tech-Savvy Lawyer Page (February 2, 2026, Editorial & Show Notes Hub) – Software & Cloud Services mentioned in the conversation Clio – Cloud-based legal practice management platform – Alexi – AI‑driven legal research platform – AWS (Amazon Web Services) – Cloud infrastructure provider – Google Cloud – Cloud infrastructure provider – /episode/index/show/thetechsavvylawyerdotpage/id/40043420

🎙️ Ep. #130: Taming Client Data Security – Nick Martin’s Proven Tech Strategies for Law Firms 🚀 02/03/2026

🎙️ Ep. #130: Taming Client Data Security – Nick Martin’s Proven Tech Strategies for Law Firms 🚀 Our next guest is Nick Martin, CEO of FileScience. He shares expert insights on stabilizing law firm operations with smart backups and automation. Join us to discover practical, easy-to-implement ways to protect your data from outages and errors, so your clients’ information stays safe, secure, and accessible when you need it most. Listen in with Nick Martin and me as we discuss the following three questions and more! 💡 When a firm is drowning in document chaos, what are the first three specific workflows to digitize or automate to stabilize operations? Beyond just losing documents, what are the three specific silent killers of document hygiene that lawyers ignore? How do lawyers solve the top three friction points of digital collaboration: version conflicts, insecure sharing methods, and the loss of institutional knowledge buried inside files? In our conversation, we cover the following 📊 00:00 – Guest intro and Nick’s tech setup (MacBook Pro, iPad, iPhone 15, Bang & Olufsen speaker) 🔊 00:30 – Q1: Digitizing workflows – unification of memory, forever undo button, retention 🛡️ 04:00 – Backups for iManage, NetDocuments, Clio, FileVine; air-gapped copies 📁 06:00 – Microsoft 365 outage resilience with FileScience ☁️ 08:00 – Retention periods (5-7 years by state/practice); NY lawful order policy ⚖️ 10:00 – Q2: Silent killers – file degradation, wrong versions, insider threats 🕵️ 13:00 – Q3: Solving friction – immutable timelines, encryption (Purview, CBC), institutional knowledge preservation 🔒 15:00 – End-to-end encryption details; where to find Nick Resources 🔗 Connect with Nick Martin 🤝 FileScience website: Nick Martin LinkedIn: FileScience LinkedIn: FileScience Instagram: Mentioned in the episode 📚 Microsoft 365 outage (recent North America impact): Hardware mentioned in the conversation 💻 Bang & Olufsen Beosound Balance (360° omnidirectional speaker): iPad: iPhone 15: MacBook Pro 16-inch: Software & Cloud Services mentioned in the conversation ☁️ AWS, Azure, Google Cloud (underlying providers): , , Clio: FileVine: Google Workspace: iManage: Microsoft 365 (Outlook, Purview encryption, CBC): NetDocuments: [] Parallels (VMs): /episode/index/show/thetechsavvylawyerdotpage/id/40072375

🎙️ TSL.P Labs Bonus: Google AI Discussion: Everyday Tech, Extraordinary Evidence: Smartphones, Dash Cams, and Wearables as Silent Witnesses in Your Cases ⚖️📱 01/30/2026

🎙️ TSL.P Labs Bonus: Google AI Discussion: Everyday Tech, Extraordinary Evidence: Smartphones, Dash Cams, and Wearables as Silent Witnesses in Your Cases ⚖️📱 Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 In this Tech-Savvy Lawyer.Page Labs episode, our Google AI hosts unpack our and discuss how everyday devices—smartphones, dash cams, wearables, and connected cars—are becoming “silent witnesses” that can make or break your next case, while walking carefully through on competence, candor, privacy, and preservation of digital evidence. In our conversation, we cover the following: 00:00 – Welcome to The Tech-Savvy Lawyer.Page Labs Initiative and this week’s “Everyday Tech, Extraordinary Evidence” AI roundtable 🧪 00:30 – Why classic “surprise witness” courtroom drama is giving way to always-on digital witnesses 🎭 01:15 – Introducing the concept of smartphones, dash cams, and wearables as objective “silent witnesses” in litigation 📱 02:00 – Overview of Michael D.J. Eisenberg’s editorial “Everyday Tech, Extraordinary Evidence” and his mission to bridge tech and courtroom practice 📰[ 03:00 – Case study setup: the Alex Preddy shooting in Minneapolis and the clash between official reports and digital evidence ⚖️ 04:00 – How bystander smartphone video reframed the legal narrative in the Preddy matter and dismantled “brandished a weapon” claims 🎥 05:00 – From “pressing play” to full video synchronization: building a unified timeline from multiple cameras to audit police reports 🧩06:00 – Using frame-by-frame analysis to test loaded terms like “lunging,” “aggressive resistance,” and “brandishing” against what the pixels actually show 🔍 07:00 – Moving beyond what we see: introducing “quiet evidence” such as GPS logs, telemetry, and sensor data as litigation tools 📡 08:00 – GPS data for location, duration, and speed: turning “he was charging” into a measurable movement profile in protest and road-rage cases 🚶‍♂️🚗 09:00 – Layering GPS from phones with vehicle telematics to create a multi-source reconstruction that is hard to impeach in court 📊 10:00 – Dash cams as 360-degree witnesses: solving blind spots of human perception and single-angle video 🛞 11:00 – Why exterior audio from dash cams—shouts, commands, crowd noise—can be crucial to proving state of mind and mens rea 🔊 12:00 – Wearables as a body-wide sensor network: heart rate, sleep, and step count as quantitative proof of pain, fear, and trauma ⌚ 13:00 – Using longitudinal wearable data to support claims of emotional distress or sleep disruption in personal injury and civil-rights litigation 😴 14:00 – Heart-rate spikes and movement logs at the moment of an encounter as corroboration of fear or immobility in use-of-force matters 15:00 – Why none of this evidence exists in your case file unless you know to ask for it at intake 🗂️ 16:00 – Updating intake: adding questions about smartwatches, location services, doorbell cameras, dash cams, and connected cars to your client questionnaires 📝 17:00 – Data preservation as an emergency task: deletion cycles, cloud overwrites, and using TROs to stop digital spoliation 🚨 18:00 – Turning raw logs into compelling visuals: maps, synced clips, and timelines that juries can understand without sacrificing accuracy 🗺️ 19:00 – Ethics spotlight: ABA Model Rule 1.1 competence and Comment 8—why “I’m not a tech person” is now an ethical problem, not an excuse 📚 20:00 – Candor to the tribunal and the line between strong advocacy and fraud when editing or excerpting digital evidence ⚠️ 21:00 – Respecting third-party privacy under Rule 4.4: when you must blur faces, redact audio, or limit collateral exposure of bystanders 🧩 22:00 – Advising clients not to delete texts, videos, or logs and explaining spoliation risks under Rule 3.4 ⚖️ 23:00 – The uranium analogy: digital tools as powerful but dangerous if used without adequate ethical “containment” ☢️ 24:00 – Philosophical closing: will juries someday trust heart-rate logs more than tears on the witness stand, and what does that mean for human testimony? 🤔 25:00 – Closing remarks and invitation to explore the full editorial, show notes, and resources on The Tech-Savvy Lawyer.Page 🌐 If you enjoyed this episode, please like, comment, subscribe, and share! /episode/index/show/thetechsavvylawyerdotpage/id/39964225

🎙️ Ep. #129, Why Lawyers Should Podcast in the Age of AI: Live Roundtable from Podfest 2026 🎙️⚖️ 01/20/2026

🎙️ Ep. #129, Why Lawyers Should Podcast in the Age of AI: Live Roundtable from Podfest 2026 🎙️⚖️ In this special episode, recorded live from Podfest 2026 in Orlando, FL at the Renaissance Marriott Hotel near SeaWorld, I was able to gather several attendees who are in the legal world—lawyers and legal industry marketers—to talk about why lawyers should podcast and more! 🎙️ Our roundtable features Dennis “DM” Meador (Legal Podcast Network), Louis Goodman (Love Thy Lawyer), Robert Ingalls (Lawpods), Wendi Wittner (The Writing Guru), and Elizabeth Gearhart (Passage to Profit / Gearhart Law), each bringing deep experience in podcasting, legal marketing, and personal branding for lawyers. We discuss practical, no-fluff insights about how lawyers can use podcasting to build authority, strengthen SEO, show up in large language models (LLMs) like ChatGPT, and connect more authentically with clients and referral sources. Whether you are tech-curious, tech-comfortable, or completely new to podcasting, this episode will help you decide if starting a podcast makes strategic sense for your practice or business. QUESTIONS WE DISCUSS 🎯 Join Dennis, Louis, Robert, Wendi, Elizabeth, and me as we discuss the following three questions and more! Why should lawyers be podcasting in 2026 and beyond, especially with Gen Z and Gen Alpha getting so much of their trusted information from podcasts and social platforms? What is one of the first concrete steps a lawyer should take if they are seriously considering launching a podcast of their own? What is one of the biggest mistakes lawyers should watch out for when launching a podcast, and how can they avoid becoming a “zombie podcast” that dies after a few episodes? 🧟‍♂️ Additional themes we explore include: How podcasting acts as an “electronic resume” and trust-building tool for lawyers. How podcasts can drive SEO, get you discovered in LLMs like ChatGPT, Google Gemini, Perplexity, and Claude, and generate traffic to your law firm website. Why your podcast does not always need to be “about the law” to be effective for your legal brand. How to balance authenticity (including salty language) with your professional brand and ethics rules. TIME-STAMPED EPISODE GUIDE ⏱️ In our conversation, we cover the following: 00:00 – Welcome & guest introductions Live from Podfest 2026: intros from Dennis “DM” Meador (Legal Podcast Network), Louis Goodman (Love Thy Lawyer), Robert Ingalls (Lawpods), Wendi Wittner (The Writing Guru), and Elizabeth Gearhart (Passage to Profit / Gearhart Law). 02:00 – Why should lawyers be podcasting? Gen Z and Gen Alpha treat podcasts as a top trusted media source. 📲 Podcasting vs TikTok for lawyers who don’t want to dance but still want reach. Podcast as “electronic resume” and branding vehicle for lawyers and judges. 04:30 – Is podcasting right for every lawyer? Robert on why not every lawyer should podcast, and why goals matter. How a podcast helps potential clients decide if you are “their” lawyer—or not. 06:30 – Personality, language, and fit The Tampa PI lawyer who refuses to bleep swear words to attract the right clients and repel the wrong ones. 🤬 Why authenticity can be a powerful qualification tool, not a liability. 08:00 – Podcasting as a marketing engine Turning a 30–60 minute recording into video clips, written content, and evergreen assets. How podcast content keeps working for you long after the recording session. 09:30 – Personal branding and storytelling for lawyers Wendi on using podcasts to develop a personal brand, tell your story, and highlight your “superpower” as a lawyer. Why sharing your career pivots and non-traditional path resonates deeply with listeners. 12:00 – Getting discovered in ChatGPT and other LLMs Elizabeth on using a podcast and transcripts to improve visibility in ChatGPT, Google Gemini, Perplexity, and Claude. 🤖 How regular podcasting and transcript optimization sustained and improved hits from LLMs to Gearhart Law’s website. 15:30 – Future-proofing and “language-based internet” DM explains why we’re moving from a page-based to a language-based internet and why early podcast adopters will win—similar to early website and SEO adopters. Podcasting as both “future-proofing” and “present-proofing” your practice. 18:00 – Hobby vs business podcast Louis on starting his podcast as a social hobby and discovering the SEO and networking upside. How a niche local legal podcast can drive referrals and reputation even without direct monetization. 21:00 – How personal is too personal? Robert’s own experience evolving his podcast from estate planning to broader personal topics. Balancing sharing about yourself with focusing on the listener’s problem (StoryBrand “guide vs hero” concept). 25:00 – Beyond law: topic flexibility Why your legal podcast can focus on tech, politics, entrepreneurship, or hobbies while still supporting your legal brand. Examples of lawyers podcasting about politics and broader societal issues to grow recognition. 28:30 – Helping lawyers find their story Wendi’s process: asking about upbringing, first-generation experiences, career pivots, athletic feats, and long-term goals to unlock unique stories. How those stories fuel compelling podcast episodes and stronger interviews. 34:00 – Thinking beyond your current role Using podcasting and personal branding to position yourself for boards, politics, and second careers outside traditional law practice. 37:00 – AI hallucinations & validating LLM output Elizabeth’s workflow for cross-checking answers across ChatGPT, Gemini, Perplexity, Claude, and Grok. Why LLMs “love” natural, conversational podcast transcripts as training material. 40:00 – Networking power of “you should be on my podcast” How inviting people as guests changes the dynamic at networking events. 🤝 Using podcast guest outreach on and pod-match style platforms. 43:00 – Content, authority, and algorithm signals DM on why consistent, custom content will always outperform gimmicks in SEO and algorithm changes. How podcasts support authority, trust, and long-term discoverability in search and LLMs. 48:00 – Question #2: First steps for lawyers considering a podcast Robert and DM: “Know your why” and who your ideal listener/client really is. Are you using the show for lead nurturing, referral education, or brand visibility? 52:00 – Political/legal shows and indirect monetization Discussion of political/legal commentary podcasts that soft-sell the firm. Why they can work—but why expectations and time horizon matter. 56:00 – Brand consistency before you launch Wendi on auditing your website, LinkedIn, business page, and social handles for consistent branding (e.g., “The Writing Guru”). Using CTAs and data capture to turn podcast listeners into contacts. 59:00 – Knowing your deeper “why” Elizabeth’s “peel the onion” exercise: repeatedly asking why until you reach the core motivation, often helping people out of “impossible situations.” 1:03:00 – Solo vs agency vs studio Pros and cons of DIY gear and production vs working with podcast agencies or studios. Why time value, ethics, and avoiding scams all matter for lawyers. 1:08:00 – Ethics, multi-jurisdiction practice, and global reach How legal ethics, multistate audiences, and global distribution impact what lawyers can say on their podcasts. 1:12:00 – Question #3: Biggest mistakes lawyers make launching a podcast Elizabeth: ethics, off-the-cuff comments, and aligning tone (including swearing) with your brand and practice area. Wendi: perfectionism vs progress—accepting that early episodes will be imperfect but valuable. Robert: no long-term plan and no content strategy, leading to inconsistency and podfade. Louis: underestimating time; a solid 30 minutes of content may require several hours early on. DM: expecting immediate impact and treating podcasting like a short-term campaign instead of a long-term asset. 1:22:00 – Test-driving podcasting as a guest first Why appearing as a guest on other shows (via Podmatch and similar platforms) is a smart “trial run” before launching your own. 1:25:00 – Where to find today’s guests & closing Each guest shares their preferred platforms, emails, and websites so you can connect and learn more. RESOURCES 📚 Connect with our Guests Louis Goodman ⚖️ Podcast: Love Thy Lawyer (“Love v. Lawyer”) LinkedIn Profile Elizabeth Gearhart 📻 Gearhart Law (Chief Marketing Officer) [ Passage to Profit Show (syndicated radio show & podcast) Email LinkedIn (active profile) Robert Ingalls 🎧 Lawpods (Founder & CEO – podcast agency for law firms) LinkedIn Dennis “DM” Meador 💼 LinkedIn: Dennis Meador – “Dennis Meta like a meadow, but with an R and no W” 🌱 Legal Podcast Network (Founder & CEO) Wendi Wittner ✍️ The Writing Guru – Legal Executive Branding & Career Strategy LinkedIn: Wendi Weiner / “The Writing Guru” Above the Law (Wendi’s column) HuffPost article – “How I Used My Law Degree to Get Out of Law” (Wendi) Mentioned in the episode Non‑Hardware/Software 🔍 Attorney Tom (PI lawyer & content creator) Podfest 2026 (Orlando, FL) Hardware mentioned 🧰 (Exact models are discussed generally rather than by SKU, but here are representative links to explore.) iPhone Shure-style dynamic microphones 🎙️ USB “Snowball Ice” mic Software & Cloud Services mentioned ☁️ Buzzsprout “How to Start a Podcast” series Calendly (for scheduling and batching recordings) ChatGPT (OpenAI) Claude (Anthropic) Google Gemini Grok (xAI) LinkedIn (personal profiles + company pages) Perplexity Podmatch / podcast‑guest matching platforms (generic reference) /episode/index/show/thetechsavvylawyerdotpage/id/39811250

🎙️ Ep. #128: Building a Tech-Forward Law Firm: AI Intake, CRM Strategy, and Client Experience with Colleen Joyce! 01/06/2026

🎙️ Ep. #128: Building a Tech-Forward Law Firm: AI Intake, CRM Strategy, and Client Experience with Colleen Joyce! My next guest is Colleen Joyce, CEO of Lawyer.com, a company that connects over 1 million consumers monthly with qualified attorneys across the country. With nearly 20 years of experience transforming how law firms market themselves and manage their operations, Colleen has seen what works and what doesn't when it comes to legal technology adoption. 🚀 Join Colleen Joyce and me as we discuss the following three questions and more! What are the top three non-negotiable technologies? Beyond the essential lead generation that Lawyer.com provides, what specific CRM automations, financial analytics, or project management tools would you implement immediately to ensure a firm scales profitably rather than just chaotically? What are the top three specific intake bottlenecks that AI can now solve better than a human receptionist? Based on the data you're seeing from your new AI initiatives, which intake bottlenecks can AI now solve to allow attorneys to focus primarily on high-value legal work? What are the top three human touchpoints in the client lifecycle that a lawyer should never automate? From your experience overseeing millions of consumer connections, which touchpoints are crucial for building the trust and transparency that leads to long-term referrals? In our conversation, we cover the following: [00:00:00] Episode introduction and title read [00:01:00] Editor's note on audio quality [00:01:30] Welcoming Colleen Joyce to the podcast [00:01:45] Colleen's current tech setup: MacBook Pro, iPhone 16, iPad, and curved Dell monitor [00:02:00] Discussion about iPhone models and AppleCare benefits [00:04:00] MacBook Pro specifications and upgrade recommendations (Intel vs. M chip) [00:05:00] Benefits of curved monitors for productivity and focus [00:06:00] Question #1: Top three non-negotiable technologies for modern law firms [00:07:00] The importance of intake technology and CRM systems [00:07:30] Project management tools for team accountability [00:08:00] Budget-friendly options and freemium platforms for new lawyers [00:09:00] Question #2: AI intake bottlenecks that AI solves better than humans [00:10:00] The value of empathetic AI agents and information capture [00:11:00] Training AI agents for legal-specific scenarios and language [00:12:00] Consumer resistance to AI vs. human agents and the generational shift [00:13:00] Scheduling tools like Calendly and client resistance to automation [00:14:00] Legal profession's technology adoption over the past 3-5 years [00:15:00] The declining use of printers in modern legal practice [00:16:00] Question #3: Human touchpoints that should never be automated [00:17:00] The importance of relationship building during the client onboarding "courting period" [00:18:00] Using technology processes to screen potential clients for fit [00:19:00] Where to find Colleen Joyce and her weekly Fast Five newsletter [00:19:30] Closing remarks and next episode preview RESOURCES Connect with Colleen Joyce LinkedIn: Company Website: Newsletter: The Fast Five (published weekly on Tuesdays via LinkedIn) Mentioned in the Episode MacRumors.com - (Apple product buying guides and release cycles) The Fast Five Newsletter - Weekly newsletter covering AI trends and business growth strategies for law firms Calendly - (Scheduling automation tool) Hardware Mentioned in the Conversation MacBook Pro (17-inch with Intel chip) - MacBook Pro with M4/M5 Chip - iPhone 16 - iPad - Dell Curved Monitor (22-24 inch) - HP Printer - Sit-Stand Desk - (Various manufacturers) Software & Cloud Services Mentioned in the Conversation Plaud (Audio Recording App) - iMessage - Slack - Monday.com - (Project management and team collaboration) ChatGPT - (AI research and recommendations) Calendly - (Appointment scheduling) AppleCare - AI Intake Platforms (Various legal-specific platforms discussed generically) CRM Systems (Various customer relationship management platforms discussed generically) Case Management Systems (Various legal practice management platforms discussed generically) /episode/index/show/thetechsavvylawyerdotpage/id/39660080

🎙️Ep. 127: Mastering Legal Storytelling and AI Automation with Joshua Altman 🎙️⚖️ 12/23/2025

🎙️Ep. 127: Mastering Legal Storytelling and AI Automation with Joshua Altman 🎙️⚖️ OUR next guest is Joshua Altman, the Managing Director of Beltway.Media, a DC-based communications firm that specializes in helping brands cut through the noise. A former multimedia journalist for The Hill, Joshua spent several years covering high-stakes federal policy and election cycles from the front lines. Today, he translates that newsroom pace into strategy for professional services firms, startups, and federal agencies. He joins me to discuss why storytelling isn’t just a marketing buzzword—it’s a critical operating system for modern law practice. Join Joshua Altman and me as we discuss the following three questions and more! What are the top three technology tools or platforms you recommend that would help attorneys transform a single piece of thought leadership into multiple content formats across channels, and how can they use AI to accelerate this process without sacrificing their professional voice? What are the top three mistakes attorneys and law firms make when communicating during high-stakes situations—whether that’s managing negative publicity, navigating a client crisis, or pitching to potential investors—and how can technology help them avoid these pitfalls while maintaining their ethical obligations? What are the top three metrics for their online marketing technology investments that attorneys should actually be tracking to demonstrate return on investment, and what affordable technology solutions would you recommend to help them capture and analyze this data? In our conversation, we cover the following: [00:00] Introduction to Joshua Altman and Beltway.Media. [01:06] Joshua’s current secure tech stack: From Mac setups to encrypted communications. [03:52] Strategic content repurposing: Using AI as a tool, not a replacement for your voice. [05:30] The "Human in the Loop" necessity: Why lawyers must proofread AI content. [10:00] Tech Recommendation #1: using Abacus.AI and Root LLM for model routing. [11:00] Tech Recommendation #2: Automating workflows with Gumloop. [15:43] Tech Recommendation #3: The "Low Tech" solution of human editors. [16:47] Crisis Communications: Navigating the Court of Public Opinion vs. the Court of Law. [20:00] Using social listening tools for litigation support and witness tracking. [24:30] Metric #1: Analyzing Meaningful Engagement (comments vs. likes). [26:40] Metric #2: Understanding Impressions and network reach (1st vs. 2nd degree). [28:40] Metric #3: Tracking Clicks to validate interest and sales funnels. [31:15] How to connect with Joshua. RESOURCES: Connect with Joshua Altman Email: LinkedIn: Website: Mentioned in the episode - Joshua’s communications firm. - Multimedia journalism background. Hardware mentioned in the conversation Software & Cloud Services mentioned in the conversation - AI platform mentioned for its "Root LLM" model routing feature. - AI language model. - AI language model. - Email marketing platform. - AI automation platform for newsletters and social listening. - Professional social networking. - Email marketing platform. - Encrypted email service. - End-to-end encrypted file sharing (secure Dropbox alternative). /episode/index/show/thetechsavvylawyerdotpage/id/39575325

🧪🎧 TSL Labs Bonus Podcast: Open vs. Closed AI — The Hidden Liability Trap in Your Firm ⚖️🤖 12/19/2025

🧪🎧 TSL Labs Bonus Podcast: Open vs. Closed AI — The Hidden Liability Trap in Your Firm ⚖️🤖 Welcome to TSL Labs Podcast Experiment. 🧪🎧 In this special "Deep Dive" bonus episode, we strip away the hype surrounding Generative AI to expose a critical operational risk hiding in plain sight: the dangerous confusion between "Open" and "Closed" AI systems. Featuring an engaging discussion between our Google Notebook AI hosts, this episode unpacks the "Swiss Army Knife vs. Scalpel" analogy that every managing partner needs to understand. We explore why the "Green Light" tools you pay for are fundamentally different from the "Red Light" public models your staff might be using—and why treating them the same could trigger an immediate breach of ABA Model Rule 5.3. From the "hidden crisis" of AI embedded in Microsoft 365 to the non-negotiable duty to supervise, this is the essential briefing for protecting client confidentiality in the age of algorithms. In our conversation, we cover the following: [00:00] – Introduction: The hidden danger of AI in law firms. [01:00] – The "AI Gap": Why staff confuse efficiency with confidentiality. [02:00] – The Green Light Zone: Defining secure, "Closed" AI systems (The Scalpel). [03:45] – The Red Light Zone: Understanding "Open" Public LLMs (The Swiss Army Knife). [04:45] – "Feeding the Beast": How public queries actively train the model for everyone else. [05:45] – The Duty to Supervise: ABA Model Rules 5.3 and 1.1[8] implications. [07:00] – The Hidden Crisis: AI embedded in ubiquitous tools (Microsoft 365, Adobe, Zoom). [09:00] – The Training Gap: Why digital natives assume all prompt boxes are safe. [10:00] – Actionable Solutions: Auditing tools and the "Elevator vs. Private Room" analogy. [12:00] – Hallucinations: Vendor liability vs. Professional negligence. [14:00] – Conclusion: The final provocative thought on accidental breaches. RESOURCES Mentioned in the episode ABA Model Rule 5.3 (Responsibilities Regarding Nonlawyer Assistance): ABA Model Rule 1.1, Comment 8 (Technology Competence): and Software & Cloud Services mentioned in the conversation Lexis+ AI (LexisNexis): Protégé (LegalMation/LexisNexis context): Westlaw Precision (Thomson Reuters): Co-Counsel (Casetext/Thomson Reuters): Harvey AI: vLex Vincent AI: ChatGPT (OpenAI): Perplexity AI: Claude (Anthropic): Microsoft 365 Copilot (Teams/Word): Adobe Creative Cloud (AI features): Zoom AI Companion: /episode/index/show/thetechsavvylawyerdotpage/id/39516050

🎙️ TSL LABs 🧪 Bonus: From Cyber Compliance to Cyber Dominance: What VA's AI Revolution Means for Government Cybersecurity, Legal Ethics, and ABA Model Rule Compliance! 12/12/2025

🎙️ TSL LABs 🧪 Bonus: From Cyber Compliance to Cyber Dominance: What VA's AI Revolution Means for Government Cybersecurity, Legal Ethics, and ABA Model Rule Compliance! In this TSL Labs bonus episode, we examine how the Department of Veterans Affairs is leading a historic transformation from traditional compliance frameworks to a dynamic, AI-driven approach called "cyber dominance." This conversation unpacks what this seismic shift means for legal professionals across all practice areas—from procurement and contract law to privacy, FOIA, and litigation. Whether you're advising government agencies, representing contractors, or handling cases where data security matters, this discussion provides essential insights into how continuous monitoring, zero trust architecture, and AI-driven threat detection are redefining professional competence under ABA Model Rule 1.1. 💻⚖️🤖 Join our AI hosts and me as we discuss the following three questions and more! How has federal cybersecurity evolved from the compliance era to the cyber dominance paradigm? 🔒 What are the three technical pillars—continuous monitoring, zero trust architecture, and AI-driven detection—and how do they interconnect? 🛡️ What professional liability and ethical obligations do lawyers now face under ABA Model Rule 1.1 regarding technology competence? ⚖️ In our conversation, we cover the following: [00:00:00] - Introduction: TSL Labs Bonus Podcast on VA's AI Revolution 🎯 [00:01:00] - Introduction to Federal Cybersecurity: The End of the Compliance Era 📋 [00:02:00] - Legal Implications and Professional Liability Under ABA Model Rules ⚖️ [00:03:00] - From Compliance to Continuous Monitoring: Understanding the Static Security Model 🔄 [00:04:00] - The False Comfort of Compliance-Only Approaches 🚨 [00:05:00] - The Shift to Cyber Dominance: Three Integrated Technical Pillars 💪 [00:06:00] - Zero Trust Architecture (ZTA) Explained: Verify Everything, Trust Nothing 🔐 [00:07:00] - AI-Driven Detection and Legal Challenges: Professional Competence Under Model Rule 1.1 🤖 [00:08:00] - The New Legal Questions: Real-Time Risk vs. Static Compliance 📊 [00:09:00] - Evolving Compliance: From Paper Checks to Dynamic Evidence 📈 [00:10:00] - Cybersecurity as Operational Discipline: DevSecOps and Security by Design 🔧 [00:11:00] - Litigation Risks: Discovery, Red Teaming, and Continuous Monitoring Data ⚠️ [00:12:00] - Cyber Governance with AI: Algorithmic Bias and Explainability 🧠 [00:13:00] - Synthesis and Future Outlook: Law Must Lead, Not Chase Technology 🚀 [00:14:00] - The Ultimate Question: Is Your Advice Ready for Real-Time Risk Management? 💡 [00:15:00] - Conclusion and Resources 📚 Resources Mentioned in the Episode ABA Model Rule 1.1 - Competent Representation (including technology competence requirement) - Department of Veterans Affairs (VA) Cybersecurity Initiative - DevSecOps Pipelines - Security integration in software development - FedRAMP (Federal Risk and Authorization Management Program) - FISMA (Federal Information Security Management Act) - Google Notebook AI - AI discussion generation tool - HIPAA (Health Insurance Portability and Accountability Act) - NIST Cybersecurity Framework - Red Teaming - Ethical hacking and security testing methodology - Zero Trust Architecture (ZTA) - Federal mandate for security verification - Software & Cloud Services Mentioned in the Conversation AI-Driven Detection Systems - Automated threat detection and response platforms Automated Compliance Platforms - Dynamic evidence generation systems Continuous Monitoring Systems - Real-time security assessment platforms DevSecOps Tools - Automated security testing in software development pipelines Firewalls - Network security hardware devices Google Notebook AI - Penetration Testing Software - Security vulnerability assessment tools Zero Trust Architecture (ZTA) Solutions - Identity and access verification systems /episode/index/show/thetechsavvylawyerdotpage/id/39432555

🎙️Ep. 126: AI and Access to Justice With Pearl.com Associate General Counsel Nick Tiger 12/09/2025

🎙️Ep. 126: AI and Access to Justice With Pearl.com Associate General Counsel Nick Tiger Our next guest is Nick Tiger, Associate General Counsel at Pearl.com, Nick shares insights on integrating AI into legal practice. champions AI and human expertise for professional services. He outlines practical uses such as market research, content creation, intake automation, and improved billing efficiency, while stressing the need to avoid liability through robust human oversight. Nick is a legal leader at Pearl.com, partnering on product design, technology, and consumer-protection compliance strategy. He previously served as Head of Product Legal at EarnIn, an earned-wage access pioneer, building practical guidance for responsible feature launches, and as Senior Counsel at Capital One, supporting consumer products and regulatory matters. Nick holds a J.D. from the University of Missouri–Kansas City, lives in Richmond, Virginia, and is especially interested in using technology to expand rural community access to justice. During the conversation, Nick highlights emerging tools, such as conversation wizards and expert-matching systems, that enhance communication and case preparation. He also explains Pearl AI's unique model, which blends chatbot capabilities with human expert verification to ensure accuracy in high-stakes or subjective matters. Nick encourages lawyers to adopt human-in-the-loop protocols and consider joining Pearl's expert network to support accessible, reliable legal services. Join Nick and me as we discuss the following three questions and more! What are the top three most impactful ways lawyers can immediately implement AI technology in their practices while avoiding the liability pitfalls that have led to sanctions in recent high-profile cases? Beyond legal research and document review, what are the top three underutilized or emerging AI applications that could transform how lawyers deliver value to clients, and how should firms evaluate which technologies to adopt? What are the top three criteria Pearl uses to determine when human expert verification is essential versus when AI alone is sufficient? How can lawyers apply this framework to develop their own human-in-the-loop protocols for AI-assisted legal work, and how is Perl different from its competitors? In our conversation, we cover the following: [00:56] Nick's Tech Setup [07:28] Implementing AI in Legal Practices [17:07] Emerging AI Applications in Legal Services [26:06] Pearl AI's Unique Approach to AI and Legal Services [31:42] Developing Human-in-the-Loop Protocols [34:34] Pearl AI's Advantages Over Competitors [36:33] Becoming an Expert on Pearl AI Resources: Connect with Nick: Nick's LinkedIn: Pearl.com Website: Pearl.com Expert Application Portal: Pearl.com LinkedIn: Pearl.com X: ABA Resources: ABA Formal Opinion 512: Hardware mentioned in the conversation: Anker Backup Battery / Power Bank: Software & Cloud Services mentioned in the conversation: AT&T: Pearl.com: Sprint: Timely: Verizon: /episode/index/show/thetechsavvylawyerdotpage/id/39344145

🎙️ TSL Labs 🔬 Bonus Podcast: Google’s Notebook LLM “Deep Dive” on December 1st, 2025, editorial on the the Lawyer’s Defense Against Holiday Scams and ‘Bargain’ Tech Traps! 12/05/2025

🎙️ TSL Labs 🔬 Bonus Podcast: Google’s Notebook LLM “Deep Dive” on December 1st, 2025, editorial on the the Lawyer’s Defense Against Holiday Scams and ‘Bargain’ Tech Traps! Listen in as Google's Notebook LLM provides an AI-powered conversation unpacks our December 1st, 2025 editorial examining how the holiday digital marketplace transforms into a lucrative hunting ground for device compromise and credential theft. We explore why attorneys and paralegals—trained to spot hidden clauses and anticipate risk—often abandon professional skepticism when faced with shiny gadgets bearing 70% off stickers. Our discussion arms you with actionable strategies to protect your practice, safeguard client confidentiality, and prevent the kind of security breaches that trigger bar complaints and operational shutdowns. Whether you're a solo practitioner or part of a large firm, this episode delivers the technical insights you need without the jargon. Join Google's Notebook LLM as we discuss the following three questions and more! How do bargain tech deals create hidden professional liabilities that extend far beyond wasted money, and what specific technical deficits should lawyers avoid in discount hardware? What free forensic tools can legal professionals use to distinguish genuine discounts from manipulated pricing schemes, and how do these tools apply procurement-level rigor to personal shopping decisions? Which three active scam vectors target high-value professionals during the holiday season, and what mandatory four-point protocol ensures comprehensive protection against credential theft and device compromise? In our conversation, we cover the following: [00:00:00] Welcome to TSL Labs Bonus Episode: AI-powered deep dive on holiday shopping risks [00:01:00] Why legal professionals abandon professional skepticism during holiday sales [00:02:00] The high stakes: credential theft, device compromise, and operational lockdown [00:03:00] The bargain trap: understanding technical debt in cheap vs. inexpensive hardware [00:04:00] Processor bottleneck red flags: older generation chips that consume billable time [00:05:00] Screen resolution hazards: how 1366x768 displays create genuine error risks [00:06:00] RAM deficits and security longevity: when devices become e-waste and compliance gaps [00:07:00] Introduction to forensic price tracking tools for procurement-level shopping [00:08:00] CamelCamelCamel, Keepa, and Honey: free tools that reveal true pricing history [00:09:00] Malwarebytes 2025 holiday scam report: three attack vectors targeting professionals [00:10:00] Scam #1: urgent delivery smishing attacks exploiting package expectations [00:11:00] Scam #2: malvertising minefield—when legitimate ads redirect to cloned fraud sites [00:12:00] Scam #3: gift card emergency scams posing as court clerks and government officials [00:13:00] Bonus threat: social media marketplace fraud and payment protection gaps [00:14:00] The mandatory four-point protocol for holiday shopping protection [00:15:00] Final thoughts: applying contract-reading diligence to every link you click Resources Hardware Mentioned in the Conversation Business-class Lenovo laptops: HP commercial-grade hardware: Dell professional series: Apple MacBook Pro: Software & Cloud Services Mentioned in the Conversation CamelCamelCamel (Amazon price tracker): Keepa (Amazon price history browser extension): Honey (price tracking & coupon tool): Prisync (enterprise pricing solution): Price2Spy (enterprise pricing intelligence): Malwarebytes (security software): /episode/index/show/thetechsavvylawyerdotpage/id/39299610

📻 BONUS/SHOUT OUT/REPOST: Your The Tech-Savvy Lawyer.Page Blogger/Podcaster Appears on Law Practice Today Podcast With Terrell Turner To Discuss Essential Tips for Managing Trust Accounts in Small and Solo Law Firms! 🙏 Special Thanks to Terrell Turner and the ABA for having me on the Law Practice Today Podcast, produced by the of the . We have an important discussion on trust account management. We cover essential insights on managing trust accounts using online services. This episode has been edited for time, but no information was altered. We are grateful to the ABA and the Law Practice Today Podcast for allowing us to share this valuable conversation with our audience. 🎯 Join Terrell and me as we discuss the following three questions and more! What precautions should lawyers using online services to manage trust accounts be aware of? How can solo and small firm attorneys find competent bookkeepers who understand legal trust accounting? What security measures should attorneys implement when using online payment processors for client funds? ⏱️ In our conversation, we cover the following: 00:00 – Introduction & Preview: Trust Accounts in the Digital Age 01:00 – Welcome to the Law Practice Today Podcast 01:30 – Today's Topic: Online Services for Payments 02:00 – Guest Introduction: Michael D.J. Eisenberg's Background 03:00 – Michael's Experience with Trust Accounts 04:00 – Challenges for Solo and Small Practitioners 05:00 – Ensuring Security in Online Services 06:00 – Questions to Ask Online Payment Providers 07:00 – Password Security & Two-Factor Authentication 08:00 – Finding a Competent Legal Bookkeeper 09:00 – Why 8AM Law Pay Works for Attorneys 10:00 – Daily Monitoring of Trust Accounts 11:00 – FDIC Insurance & Silicon Valley Bank Lessons 13:00 – Researching Trust Account Best Practices 15:00 – Closing Remarks & Podcast Information 📚 Resources 🔗 Connect with Terrell 💼 LinkedIn: h 🌐 Website: 🎙️ Law Practice Today Podcast – 📰 Mentioned in the Episode – Maintaining client property separate from your own – Technology competence requirement for attorneys ABA TECHSHOW 2026 – March 25-28, 2026 in Chicago, IL – Law Practice Today Article by Michael D.J. Eisenberg (May 15, 2025): "What Precautions Should Lawyers Using Online Services to Manage Trust Accounts Be Aware Of?” - 💻 Software & Cloud Services Mentioned in the Conversation 8AM Law Pay – Legal payment processing designed for trust account compliance – https://www.8am.com/lawpay/ 1Password – Password manager for generating and syncing complex passwords – https://1password.com/ LastPass – Mentioned as a password manager with noted security concerns – https://www.lastpass.com/ /episode/index/show/thetechsavvylawyerdotpage/id/39250200

🎙️🎁 TSL Labs Bonus: The Ultimate 2025 Tech Gift Guide for Attorneys — Expert-Curated Gadgets, AI Tools, and Must-Have Devices Every Lawyer Needs! 11/28/2025

🎙️🎁 TSL Labs Bonus: The Ultimate 2025 Tech Gift Guide for Attorneys — Expert-Curated Gadgets, AI Tools, and Must-Have Devices Every Lawyer Needs! 🎯 In this TSL Labs Bonus episode, we are experimenting with Google’s Notebook LLM to do a “Deep Dive” on our November 24th editorial on the ultimate 2025 tech gift guide for attorneys. We use this AI-powered conversation to unpack the key themes, ethical challenges, and actionable recommendations. Whether you're a solo practitioner, big law associate, or tech-curious partner, this episode delivers expert-curated insights on gadgets, AI tools, and must-have devices that support technological competence as a professional obligation. If you're a busy legal professional seeking practical tech recommendations that enhance daily practice rather than collect digital dust, join us for this insightful conversation that explores how the right technology investments can improve your practice, safeguard your clients, and help prevent unnecessary bar complaints. 🤔 Join Google AI Deep Dive as they discuss the following three questions and more! What are the essential low-cost tech gifts under $25 that can make an immediate impact on an attorney's practice, and why do items like cables and tracking devices matter for professional competence? Which professional-grade tools under $100 deliver the best value for attorneys seeking to fulfill their ethical duty to work smarter and faster through AI integration and productivity enhancements? Why should premium technology investments over $100—including physical infrastructure like ergonomic chairs—be considered essential to an attorney's professional obligation to their clients? In our conversation, we cover the following: [00:00:00] — Episode introduction and TSL Labs Bonus overview [00:01:00] — Navigating the perfect tech gift for attorneys: unique needs like security, portability, focus, and raw power [00:02:00] — The three seismic forces driving tech choices: AI integration, cloud-based practice management, and heightened ethical duties [00:03:00] — Target audience: solo practitioners, big law associates, and tech-curious partners who need technology that lasts [00:04:00] — Essential low-cost gifts under $25: OWC Thunderbolt 4 USB-C cable and Apple AirTag for security and reliability [00:05:00] — Productivity essentials: Logitech Pebble M350 silent mouse and Anker 7-in-1 USB-C Hub for presentations [00:06:00] — AI tools for "forced competence": ChatGPT Plus one-month subscription as a low-risk nudge toward AI exploration [00:07:00] — Professional grade tools under $100: Apple Pencil (1st Gen) for document annotation and Logitech MX Keys Mini keyboard [00:08:00] — Focus and noise cancellation: Soundcore Space One headphones with 40+ hours battery life [00:09:00] — Precision document navigation: Logitech MX Master 3S mouse with horizontal scrolling for wide documents [00:10:00] — Premium mobile computing sweet spots: iPad Air with M3 chip ($599) and MacBook Air M4 ($999) [00:11:00] — Physical infrastructure as health technology: Herman Miller Aeron chair ($1,351) for sustained high-quality work [00:12:00] — Ultra-wide monitor benefits: LG 34" 5K 2K ($315) for seamless document comparison and reduced cognitive strain [00:13:00] — Virtual practice essentials: Logitech Brio 4K webcam ($160) and Samsung T7 SSD ($109) for secure data management [00:14:00] — The ultimate organizational hub: CalDigit TS3 Plus dock ($280) with 15 ports for cable clutter elimination [00:15:00] — Strategic gift-giving advice: Understanding ecosystem (Apple, Windows, Android) and workflow considerations 📚 Resources 🖥️ Hardware Mentioned in the Conversation Under $25: OWC Thunderbolt 4 USB-C Cable (~$19.99) — Universal cable supporting 40Gb/s data, 100W power delivery, up to 8K video —() Apple AirTag (Single Pack) ($24) — Bluetooth tracking device using Find My network —() Logitech Pebble M350 Wireless Mouse (~$19.99) — Silent click, 90% noise reduction, 18-month battery — () Anker 341 USB-C Hub (7-in-1) (~$19.99) — HDMI 4K@30Hz, USB ports, SD card slots — ) ORICLE 65W USB Travel Power Strip — Flat plug, 4-foot cord, 7-in-1 hub for travel —() Under $100: Apple Pencil (1st Generation) ($99) — Pressure and tilt sensitive stylus for iPad annotation —() Logitech MX Keys Mini Keyboard (~$99.99) — Compact wireless keyboard, connects to 3 devices simultaneously — () Soundcore Space One Noise-Canceling Headphones ($69.99) — Adaptive ANC reducing up to 98% noise, 40+ hours battery — [soundcore.com](https://www.soundcore.com) Logitech MX Master 3S Mouse (~$99) — Silent clicks, horizontal scroll wheel, 8000 DPI sensor —() Apple AirTag (4-Pack) (~$64-99 during sales from resellers) — Bulk tracking solution for multiple devices/bags — Premium Over $100: iPad Air with M3 Chip (Starting at $599) — 8-core CPU, 9-core GPU, ideal balance of power and portability — () MacBook Air M4 (Starting at $999) — 10-core CPU, 10-core GPU, up to 18 hours battery life —() Herman Miller Aeron Chair (~$1,351) — Ergonomic office chair with PostureFit SL, three sizes for 1st-99th percentile —() LG 34" Ultrawide 5K 2K Monitor (~$315) — 3440x1440 resolution, curved display for seamless multitasking — () Logitech Brio 4K Ultra HD Webcam (~$160) — 4K@30fps, RightLight 3 HDR, adjustable 65°/78°/90° FOV — () Samsung T7 Portable SSD (1TB) (~$109.99) — 1,050MB/s read speed, AES 256-bit encryption, 2m drop resistant — () CalDigit TS3 Plus Thunderbolt 3 Dock (~$280) — 15 ports, 87W laptop charging, dual 4K display support — () 💻 Software & Cloud Services Mentioned in the Conversation ChatGPT Plus ($20/month) — OpenAI's premium AI assistant with GPT-4 access for research and drafting — () Grammarly Premium (~$96/year on sale; $144/year regular) — AI-powered writing assistant with plagiarism detection —() Apple Find My — Location tracking app for AirTags and Apple devices — 📌 Disclaimer: Prices mentioned throughout this episode and show notes are approximate and based on manufacturer suggested retail prices around the time of the publication date; actual pricing may vary depending on manufacturer availability, retailer promotions, seasonal sales, and geographic location, and we recommend verifying current pricing before making any purchase decisions. /episode/index/show/thetechsavvylawyerdotpage/id/39220115

🎙️Ep.# 125: Transforming Your Law Practice: Allison Johs on Legal Tech Productivity, AI Ethics & Automation Strategies! 11/25/2025

🎙️Ep.# 125: Transforming Your Law Practice: Allison Johs on Legal Tech Productivity, AI Ethics & Automation Strategies! My next guest is Allison Johs, former Chair of the ABA Legal Technology Resource Center and founder of Legal Ease Consulting. 🎯 Allison has spent nearly two decades helping law firms prevent "lawyer meltdown" by guiding them through digital transformation, boosting productivity, and providing practical tech solutions for modern legal professionals. With 15 years of practicing law and experience growing a firm from 15 to over 50 attorneys, Allison brings real-world expertise to the challenges lawyers face when balancing technology adoption with successful client service. Join Allison Johs and me as we discuss the following three questions and more! 🤔 What are the top three foundational mistakes lawyers make when implementing new legal technology, and how can solo and small firms avoid these pitfalls to ensure their technology investments actually improve their practice rather than just create additional complexity? What are your top three recommendations for lawyers who want to responsibly integrate AI into their practice while maintaining ethical compliance and ensuring client confidentiality? What are the top three technology-driven strategies lawyers can implement immediately to automate routine tasks and reclaim billable hours? In our conversation, we cover the following: ⏱️ [00:00:00] – Episode introduction and guest welcome [00:01:00] – Allison's current tech setup: Dell laptop, HP all-in-one desktop, Logitech Brio webcam, Microsoft 365 [00:02:00] – Discussion of portable monitors (INNOCN) and dual-screen productivity setups [00:03:00] – Document scanning workflow with ScanSnap scanner and going paperless [00:04:00] – OCR considerations for different practice areas, Adobe Acrobat for occasional OCR needs [00:05:00] – Mistake #1: Not considering roles of all people who will use the technology in the firm [00:06:00] – Including staff input during technology selection and implementation [00:07:00] – Coaching resistant employees through technology adoption [00:08:00] – Addressing legitimate objections vs. fear of change; demonstrating value to staff [00:09:00] – Mistake #2: Not checking how new technology integrates with existing systems [00:10:00] – Hidden costs of technology transitions: running parallel systems for 6-8 months [00:11:00] – Budgeting for duplicate CRM/LPM subscriptions during migration [00:12:00] – Mistake #3: Failing to appropriately invest in ongoing training [00:13:00] – Training new hires and keeping up with subscription software updates [00:14:00] – AI Recommendation #1: Thoroughly investigate how AI tools handle data, security, and training [00:15:00] – AI Recommendation #2: Setting and strictly enforcing AI usage policies; mandatory human review [00:16:00] – The importance of reviewing AI outputs—lawyers should know precedents in their practice area [00:17:00] – AI Recommendation #3: Start with non-client-facing AI work (internal processes, marketing, financials) [00:18:00] – Ethical considerations: using AI on published court decisions for legal analysis [00:19:00] – Using AI to find contrary precedents and distinguishing cases [00:20:00] – Duty to supervise: real-world consequences when AI use goes wrong [00:21:00] – Automation Strategy #1: Appointment booking tools (Calendly, Microsoft Bookings) [00:22:00] – Automation Strategy #2: Templates, document assembly, AI chatbots for client intake [00:23:00] – Automation Strategy #3: Automated time tracking and AI-powered billing review [00:23:30] – Text Expander discussion: saving 2-5 hours weekly on repetitive typing [00:24:00] – Allison's top automation tools: Calendly, Microsoft Power Automate, Microsoft Bookings [00:25:00] – Discovering hidden features in Microsoft 365 (Ben Schorr webinar reference) [00:26:00] – Using AI for travel planning: Google AI for trip itineraries, Perplexity AI for route optimization [00:27:00] – Maximizing productivity during travel and conference attendance [00:28:00] – Where to find Allison: websites, social media, and YouTube channel Resources 📚 Connect with Allison Johs: 🌐 Website: 📝 Blog: 📧 Email: 📞 Phone: 631-642-0221 💼 LinkedIn: 📺 YouTube: Mentioned in the Episode: 📖 ABA Legal Technology Resource Center – 📖 How to Do More in Less Time (2nd Edition, 2023) – ABA Law Practice Division book co-authored by Allison Johs - https://www.amazon.com/How-More-Less-Time-Productivity/dp/1639052283 📖 Make LinkedIn Work for You: A Practical Handbook for Lawyers and Other Legal Professionals – Co-authored with Dennis Kennedy - https://www.amazon.com/Make-LinkedIn-Work-You-Professionals/dp/1734076321 👤 Ben Schorr – Microsoft 365 expert, now with Affinity Consulting Group - https://www.affinityconsulting.com/team/ben-m-schorr/ 🏛️ Universal Migrator – CRM/LPM data migration tool - https://www.universalmigrator.com/ Hardware Mentioned in the Conversation: 💻 Dell Laptop - https://www.dell.com/en-us/shop/dell-laptops/scr/laptops?_gl=1*78tbrz*_up*MQ..*_gs*MQ..&gclid=EAIaIQobChMIgerxro6QkQMVdUpHAR0BUBUOEAAYASAAEgJ_R_D_BwE&gclsrc=aw.ds 🖥️ HP All-in-One Desktop Computer - https://www.hp.com/us-en/shop/vwa/desktops/form=All-in-One 🖥️ INNOCN Portable Monitor (1080p mobile screen) – 📷 Logitech Brio Webcam (4K with built-in microphone) – 🖨️ HP Printer - https://www.hp.com/us-en/shop/vwa/printers 📄 Fujitsu ScanSnap Scanner (duplex document scanner) – Software & Cloud Services Mentioned in the Conversation: ☁️ Microsoft 365 – ⚡ Microsoft Power Automate – 📅 Microsoft Bookings – 📅 Calendly – 💬 Zoom – Video conferencing platform - 📄 Adobe Acrobat (for occasional OCR) – ⌨️ TextExpander – 🤖 ChatGPT – OpenAI's AI assistant - https://chatgpt.com 🤖 Microsoft Copilot – AI assistant integrated with Microsoft 365 - https://copilot.microsoft.com/ 🔍 Google AI – For travel planning and itineraries - https://ai.google/ 🔍 Perplexity AI – AI-powered search engine – ⚖️ Lexis+ AI – Legal research AI tool – /episode/index/show/thetechsavvylawyerdotpage/id/39180930

🎙️ TSL Labs! Google AI Discussion of MTC: The Hidden AI Crisis in Legal Practice: Why Lawyers Must Unmask Embedded Intelligence Before It's Too Late! 11/21/2025

🎙️ TSL Labs! Google AI Discussion of MTC: The Hidden AI Crisis in Legal Practice: Why Lawyers Must Unmask Embedded Intelligence Before It's Too Late! 📌 Too Busy to Read This Week's Editorial? Join us for a professional deep dive into essential tech strategies for AI compliance in your legal practice. 🎙️ This AI-powered discussion unpacks the November 17, 2025, editorial, with actionable intelligence on hidden AI detection, confidentiality protocols, ethics compliance frameworks, and risk mitigation strategies. Artificial intelligence has been silently operating inside your most trusted legal software for years, and under ABA Formal Opinion 512, you bear full responsibility for all AI use, whether you knowingly activated it or it came as a default software update. The conversation makes complex technical concepts accessible to lawyers with varying levels of tech expertise—from tech-hesitant solo practitioners to advanced users—so you'll walk away with immediate, actionable steps to protect your practice, your clients, and your professional reputation. In Our Conversation, We Cover the Following 00:00:00 - Introduction: Overview of TSL Labs initiative and the AI-generated discussion format 00:01:00 - The Silent Compliance Crisis: How AI has been operating invisibly in your software for years 00:02:00 - Core Conflict: Understanding why helpful tools simultaneously create ethical threats to attorney-client privilege 00:03:00 - Document Creation Vulnerabilities: Microsoft Word Co-pilot and Grammarly's hidden data processing 00:04:00 - Communication Tools Risks: Zoom AI Companion and the cautionary Otter.ai incident 00:05:00 - Research Platform Dangers: Westlaw and Lexis+ AI hallucination rates between 17-33% 00:06:00 - ABA Formal Opinion 512: Full lawyer responsibility for AI use regardless of awareness 00:07:00 - Model Rule 1.6 Analysis: Confidentiality breaches through third-party AI systems 00:08:00 - Model Rule 5.3 Requirements: Supervising AI tools with the same diligence as human assistants 00:09:00 - Five-Step Compliance Framework: Technology audits and vendor agreement evaluation 00:10:00 - Firm Policies and Client Consent: Establishing protocols and securing informed consent 00:11:00 - The Verification Imperative: Lessons from the Mata v. Avianca sanctions case 00:12:00 - Billing Considerations: Navigating hourly versus value-based fee models with AI 00:13:00 - Professional Development: Why tool learning time is non-billable competence maintenance 00:14:00 - Ongoing Compliance: The necessity of quarterly reviews as platforms rapidly evolve 00:15:00 - Closing Remarks: Resources and call to action for tech-savvy innovation Resources Mentioned in the Episode ABA Formal Opinion 512 (July 29, 2024): Ethical guidance on generative artificial intelligence tools - Model Rule 1.1 (Competence) - Understanding benefits and risks of relevant technology - Model Rule 1.6 (Confidentiality) - Preventing unauthorized disclosure of client information - Model Rule 5.3 (Supervision) - Supervising non-human assistance including AI - Model Rule 1.4 (Communication) - Informing clients about AI use and obtaining consent - Mata v. Avianca Case - Landmark sanctions case involving AI-generated fabricated citations - Stanford Research - Documented AI hallucination rates between 17-33% in legal tools - Software & Cloud Services Mentioned in the Conversation Adobe Acrobat AI Assistant - Automatic document analysis and summarization tool - Clio - Legal practice management platform with AI features - Google Notebook AI - AI discussion generation tool used to create this episode - Grammarly - AI writing assistant analyzing email and document content - Lexis+ AI - AI-enhanced legal research platform - Microsoft Word Co-pilot - AI-powered writing assistant with substantive editing capabilities - Otter.ai - AI meeting assistant and transcription service - Smokeball - Practice management with Auto Time AI billing - Westlaw - Legal research platform with embedded generative AI - Zoom AI Companion - Meeting transcription and analysis service - /episode/index/show/thetechsavvylawyerdotpage/id/39133985

🎙️ TSL Labs! Google AI Discussion of MTC: 🚨‼️ Emergency BOLO! 🚨‼️ Lawyers on the Go: Essential Tech Strategies for Air Travel During the Government Shutdown ✈️ 11/14/2025

🎙️ TSL Labs! Google AI Discussion of MTC: 🚨‼️ Emergency BOLO! 🚨‼️ Lawyers on the Go: Essential Tech Strategies for Air Travel During the Government Shutdown ✈️ 📌 Too Busy to Read This Week's Editorial? Join us for an emergency professional deep dive into essential tech strategies for air travel during government shutdowns and travel disruptions. 🛫 This AI-powered roundtable unpacks Michael D.J. Eisenberg's critical editorial with actionable intelligence on real-time flight tracking, data security protocols, connectivity redundancy, and power management. Whether you're a legal professional navigating travel chaos or anyone managing disruptions during system-wide stress, discover how to transform from reactive scrambling to proactive control—turning travel crises into manageable projects you command. Learn the five professional-grade rules that separate those who navigate disruptions from those who get derailed. In our conversation, we cover the following: 00:00:00 – Introduction: Welcome to Tech Savvy Lawyer Labs Emergency BOLO 00:01:00 – Travel Chaos as the New Normal: System Volatility & Professional Vulnerability 00:02:00 – Flight Schedule Control: The Illusion & Reality of Travel Disruptions 00:02:00 – Extreme Volatility in Air Travel: Cascading Flight Cancellations & Customer Service Chaos 00:02:00 – Real-Time Flight Tracking Strategy: Flightradar24 & FlightAware Intelligence Systems 00:02:00 – Backup Flight Monitoring: Multi-Carrier Surveillance Strategy (Delta, United, American) 00:03:00 – Proactive Intelligence vs. Reactive Response: One-Hour Lead Time Advantage 00:03:00 – Early Rebooking Strategy: First and Second Choice Flight Selection 00:03:00 – Trusted Traveler Programs: TSA PreCheck & Time Investment ROI 00:03:00 – TSA PreCheck Value: $78 for Five Years & Security Line Efficiency 00:03:00 – Global Entry: $100 for Five Years with International Customs Acceleration 00:04:00 – Trusted Traveler Planning: Background Checks, Interviews & Months-Ahead Application 00:04:00 – Public WiFi Malpractice Alert: Data Security & Vulnerability Assessment 00:04:00 – Personal Mobile Hotspot: Cellular Encryption Over Public Networks 00:05:00 – Dual Carrier Coverage: eSIM Technology & Connectivity Insurance 00:05:00 – Dual SIM Implementation: T-Mobile & Verizon Redundancy Strategy Without Two Phones 00:05:00 – eSIM Digital Technology: Two Active Lines on One Device 00:05:00 – Prepaid Data Plan Strategy: Coffee-Price Monthly Cost for Connectivity Backup 00:06:00 – VPN Non-Negotiables: Encrypted Tunnel & Automatic Connection Protocol 00:06:00 – VPN Automatic Startup: Device Initialization & All-Device Coverage (Phone, Tablet, Laptop) 00:06:00 – International Travel Security: VPN Encryption & Surveillance Protection 00:07:00 – TSA-Approved Power Banks: 100 Watt-Hour Specifications & 27,000 mAh Ceiling 00:07:00 – Laptop Charging: 100-Watt USB-C Power Bank Requirements (MacBook Pro) 00:07:00 – Multi-Device Charging: Simultaneous Laptop, Phone & Tablet Power Delivery 00:07:00 – Smart Power Display: Charging Speed Monitoring & Juice Rationing 00:07:00 – Surge Protector Safety: Airport Outlet Protection & Device Insurance 00:08:00 – Airport Lounges: Priority Pass Access & Productivity Sanctuaries (1,300+ Worldwide) 00:08:00 – Travel Credit Card Benefits: Complimentary Lounge Visits Strategy 00:08:00 – Conference Call Chaos: Professional Communication Environment Solutions 00:08:00 – Noise-Canceling Headphones: Sony XM5 & Bose QuietComfort Professional Focus 00:08:00 – Battery Life Requirements: 30-40 Hour Endurance for Extended Delays 00:09:00 – Offline Access Mandate: Pre-Departure Critical File Downloads 00:09:00 – Six-Hour Offline Capability: Zero-Connectivity Work Strategy 00:09:00 – Adobe Scan App: OCR Technology & Mobile Document Management 00:10:00 – Adobe Ecosystem Syncing: Cross-Device Workflow & E-Signature Integration 00:10:00 – Apple Ecosystem Continuity: iPhone, iPad & MacBook Seamless Integration 00:10:00 – FileVault Encryption & Face ID: Built-In Security Non-Negotiables 00:11:00 – Five Professional-Grade Rules: Pre-Travel Checklist & Crisis Preparation 00:11:00 – Rule One: Full Device Charge Before Departure 00:11:00 – Rule Two: Offline Maps & Critical Files Downloaded Locally 00:11:00 – Rule Three: Screenshot Everything (Boarding Passes, Hotel, Car Rental) 00:11:00 – Rule Four: Distributed Charger Storage Across Multiple Bags for Backup Power 00:11:00 – Rule Five: Share Itinerary with Emergency Contact 00:11:00 – Post-Crisis Integration: Permanent Daily Workflow Implementation 00:11:00 – The Bigger Question: Crisis Tools as Permanent Professional Standards 00:12:00 – Transition to AI Ethics Discussion: Hidden AI Crisis in Legal Practice Teaser 00:14:00 – Conclusion: Tech Savvy Lawyer Labs Roundtable Summary & Resources Resources 📚 Mentioned in the episode: Global Entry (CBP Trusted Traveler Program): TSA PreCheck (Trusted Traveler Program): Hardware mentioned in the conversation: Bose QuietComfort Noise-Canceling Headphones: Sony WH-1000XM5 Noise-Canceling Headphones: TSA-Approved Power Bank (100 Wh, USB-C): Travel-Sized Surge Protector: Software & Cloud Services mentioned in the conversation: Adobe Document Cloud (Cross-Device Sync & E-Signature): Adobe Scan App (Mobile Document Scanning & OCR): Apple FileVault (Device Encryption): Apple iCloud (File Sync & Continuity): FlightAware (Real-Time Flight Tracking & Alerts): Flightradar24 (Real-Time Flight Tracking): Priority Pass (Airport Lounge Access - 1,300+ Worldwide): VPN Services (Research Provider Options): /episode/index/show/thetechsavvylawyerdotpage/id/39109165

🎙️ Ep. # 124: AI Governance Expert Nikki Mehrpoo Shares the Triple E Protocol for Implementing Responsible AI and Legal Practice While Maintaining Ethical Compliance and Protecting Client Data. My next guest is Nikki Mehrpoo. She is a nationally recognized leader in AI governance for law practices, known for her practical, ethical, and innovation-focused strategies. Today, she details her Triple-E Protocol and shares key steps for safely leveraging AI in legal work. Join Nikki Mehrpoo and me as we discuss the following three questions and more! Based on your pioneering work with “Govern Before You Automate,” what are the top three foundational steps every lawyer should take to implement AI responsibly, and what are the top three mistakes lawyers make with AI? What are your top three tips or tricks when using AI in your work? When assessing the next AI platform from a service provider, what are the top three questions lawyers should be asking? In our conversation, we cover the following: 00:00:00 – Welcome and guest’s background 🌟 00:01:00 – Current tech setup and cloud-based workflows ☁️ 00:02:00 – Privacy and IP management, not client confidentiality 🔐 00:03:00 – Document deduplication with Effingo 📄 00:04:00 – Hardware: HP Omni Book 7 Laptop, HP monitors, iPhone 💻📱 00:05:00 – Efficiency tools: Text Expander, personal workflow shortcuts ⌨️ 00:06:00 – Balancing technology innovation and risk management ⚖️ 00:07:00 – Adapting to change, ongoing legal tech education 🧑‍💻 00:08:00 – Triple-E Framework: Educate, Empower, Elevate 🚀 00:09:00 – Governance, supervision duties, policy setting 🛡️ 00:10:00 – Human verification as a standard for all legal AI output 🧑‍⚖️ 00:12:00 – Real-world examples: AI hallucinations, bias, and due diligence ⚠️ 00:13:00 – IT vs. AI expertise, communicating across teams 🛠️ 00:14:00 – Chief AI Governance Officer, governance in legal innovation 🏛️ 00:15:00 – Global compliance, EU AI Act, international standards 🌐 00:16:00 – Hidden AI in legacy software, policy gaps 🔎 00:17:00 – Education as continuous legal responsibility 📚 00:18:00 – Better results through prompt engineering 🔤 00:19:00 – Verify, verify, verify: never trust without review ✔️ 00:20:00 – ABA Formal Opinion 512: standards for responsible legal AI 📜 00:21:00 – Nikki’s Triple-E Protocol, governance best practices 📊 00:22:00 – Data origin, bias, and auditability in legal AI systems 🧩 00:23:00 – Frameworks for “govern before you automate” in legal workflows 🔒 00:24:00 – Importance of internal hosting and zero retention policies 🏢 00:25:00 – Maintaining confidentiality with third-party AI and HIPAA compliance 🤫 00:26:00 – Where to find Nikki and connect 🌐 Resources Connect with Nikki Mehrpoo Email: Website: Secondary Site: LinkedIn: Mentioned in the episode ABA Formal Opinion 512: EU AI Act: GoHighLevel: Triple-E AI Governance Protocol: Hardware mentioned in the conversation HP External Monitors: HP Omni Book 7 Laptop: iPhone: Software & Cloud Services mentioned in the conversation GoHighLevel: Gamma: Effingo: Text Expander: Pixart: /episode/index/show/thetechsavvylawyerdotpage/id/39053525

🎙️ TSL Labs! Google AI Discussion of MTC: Deepfakes, Deception, and Professional Duty - What the North Bethesda AI Incident Teaches Lawyers About Ethics in the Digital Age 🧠⚖️ 10/31/2025

🎙️ TSL Labs! Google AI Discussion of MTC: Deepfakes, Deception, and Professional Duty - What the North Bethesda AI Incident Teaches Lawyers About Ethics in the Digital Age 🧠⚖️ 📌 To Busy to Read This Week's Editorial? Join us for an AI-powered deep dive into the ethical challenges facing legal professionals in the age of generative AI. 🤖 This episode explores the real-world story that sparked critical questions about professional responsibility: a North Bethesda prank that went wrong and became a legal cautionary tale. We unpack the implications of AI-generated deepfakes for evidence authentication, client confidentiality, and the fundamental duty lawyers owe to the court. Whether you're navigating emerging tech in your practice or learning how to protect yourself from costly bar complaints, this conversation provides actionable insights into ABA Model Rules 1.1, 3.3, and 8.4. 📋 What You'll Learn: ✅ The technology competence imperative for modern attorneys ✅ How deepfake detection connects to ethical obligations ✅ The clash between client confidentiality (Rule 1.6) and candor to the tribunal (Rule 3.3) ✅ Five practical safeguards to implement immediately ✅ Why the "liar's dividend" threatens judicial integrity ⏱️ In Our Conversation, We Cover the Following: [00:00:00 – 00:01:00] Welcome & episode overview—exploring generative AI and legal responsibility in the digital age 📱 [00:01:00 – 00:03:00] The North Bethesda deepfake incident—a 27-year-old woman's prank turns into criminal charges when her AI-generated photo triggers an emergency response 🚨 [00:03:00 – 00:04:00] The technology competence imperative—ABA Model Rule 1.1 and the 2012 amendment requiring lawyers to understand AI risks 📚 [00:04:00 – 00:05:00] The extent of adoption—31+ states have adopted or adapted tech competence language; it's no longer optional 📍 [00:05:00 – 00:06:00] Three core competencies lawyers need: How AI content is made, detection methods, and proper authentication practices 🔍 [00:06:00 – 00:07:00] Rule 3.3 in the AI era—candor toward the tribunal when evidence authenticity is questioned 🏛️ [00:07:00 – 00:08:00] The liar's dividend phenomenon—how deepfakes undermine trust in all evidence, even genuine materials 🎭 [00:08:00 – 00:09:00] Defending authentic evidence—proactive authentication, metadata, and chain of custody documentation 📊 [00:09:00 – 00:10:00] Rule 8.4 and the ethical precipice—the line between negligence and fraud when submitting unverified digital evidence ⚠️ [00:10:00 – 00:11:00] The Rule 1.6 vs. Rule 3.3 conflict—when client confidentiality must yield to candor with the court 🤝 [00:11:00 – 00:12:00] Disclosure obligations—lawyers must reveal false evidence, even if provided by their own client 📢 [00:12:00 – 00:13:00] Safeguard #1: Invest in education—CLE courses, Florida's three-hour tech requirement, and continuous learning 🎓 [00:12:00 – 00:13:00] Safeguard #2: Establish verification protocols—documentation, metadata demands, and forensic expert consultation 🔐 [00:13:00 – 00:14:00] Safeguard #3: Disclose limitations transparently—admitting gaps in expertise and using Rule 1.1 to bring in qualified co-counsel 👥 [00:14:00 – 00:15:00] Safeguards #4 & #5: Update client agreements and stay alert to evolving guidance from bar associations 📝 [00:14:00 – 00:15:00] The bigger question—what's the long-term cost to justice when digital evidence authenticity is perpetually questioned? 🔮 📚 Resources Connect with Michael D.J. Eisenberg 🌐 Website: 📧 Email: 💼 LinkedIn: 📱 Podcast: Mentioned in the Episode 🔹 – Competence requirement (amended 2012) 🔹 – Candor toward the tribunal 🔹 – Misconduct (dishonesty, fraud, deceit, misrepresentation) 🔹 – Confidentiality of information 🔹 – October 2025 case study 🔹 – Three hours of technology-focused continuing legal education every three years 🔹 – Jurisdictions that have adopted ABA Model Rule 1.1 technology competence language /episode/index/show/thetechsavvylawyerdotpage/id/38907540

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