Voyage of Discovery: Why Managing ESI for Lawyers Is Easier Than Ever
Release Date: 06/24/2026
Adventures In Legal Tech
Diana Prince's firm just hit 75 lawyers, and the infrastructure behind those lawyers didn't grow with them. Beth Thompson of Actionstep joined me to unpack how a firm of any size can grow with software, clean processes, and better numbers instead of just more headcount. If your pre-bill queue is a mess and your reports only tell you what already happened, this one's for you. Key Takeaways Write down your growth plan and map every step a matter takes, including who touches the file and how often the client hears from you, before you add people or software. Don't onboard new hires onto...
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Chance Shifflett, head of product at Rev, joins Jared to unpack how solo and small-firm criminal attorneys can get a handle on the flood of evidence, body cam footage, jail calls, depositions, and thousands of documents, that discovery throws at them. He explains what makes an investigative platform different from a generic discovery tool, why verbatim transcription and accurate speaker diarization are non-negotiable in criminal cases, and why running privileged evidence through a generic AI tool is a real risk. He also lays out how to actually pilot legal AI before you trust it with a case....
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Raj Selvadurai, founder of Gold Street Legal Search and Lateral IQ, has spent nearly twenty years placing lateral partners the old-fashioned way: relationships, referrals, and a lot of judgment calls about who actually fits where. On this episode, Raj explains why general AI tools like ChatGPT fall short for recruiting, how he built Lateral IQ to give partners and firms verified, self-service data, and why the real signal in lateral hiring isn't who a firm hires, it's who actually stays. If you've been wondering whether AI can touch a business this relationship-driven, this conversation has...
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This week's vexing problem: solo attorney Ernie DiGregorio has no IT department and no fractional vendor to help him weigh AI tools against data security and client confidentiality. Michael Santomaro, principal of Santomaro Law in Providence, walks through how he actually uses AI across his personal injury and criminal law practice, from proofreading pleadings to finding federal court rules he'd never needed before. We also get into hallucination risk, the malpractice argument for using AI at all, and how Michael turned a deeply personal passion into a growing corner of his practice. Key...
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Executive Summary Jared sits down with Carly Savar, general counsel at Steno, to unpack what actually happens when a law firm signs up with an AI vendor. Carly explains why reading the fine print matters more than any feature list, and what separates a vendor you can trust from one that's just telling you what you want to hear. Key Takeaways Read the actual data processing agreement yourself. Don't assume a vendor's security is handled just because they signed a service level agreement. Push for a zero-day retention agreement, and ask about the LLMs your vendor is built on, not just the...
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Executive Summary On this episode of Adventures in Legal Tech, Jared Correia talks with Phillip Greer, CEO of Best Lawyers, about how AI is rewriting the rules of legal search and firm operations. Greer breaks down the real differences between SEO, AEO, and GEO, then explains how he turned his own company into a shop full of vibe coders. It's a practical look at getting found online and getting comfortable with AI at the same time. Key Takeaways SEO isn't dead. It's the foundation that feeds AEO and GEO, the practices that get law firms found inside AI search tools and chatbots. Quality,...
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Summary Law firms are drowning in scattered knowledge, and AI can't fix disorganized data on its own. Rachel Shields Williams, Director of AI and Knowledge Management at Bass, Berry & Sims and President of the Legal Marketing Association, joins Jared Correia to explain why structured data has to come before any AI rollout, and how firms can build the human relationships that make AI adoption safe. Key Takeaways AI can't structure your data for you. A firm's data represents its relationships and intellectual property, and only humans understand that context well enough to organize it. ...
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Summary “Attorney Matt Damon” needs to draft a demand letter, but the facts he needs are scattered across medical records, deposition transcripts, case notes, and email threads. Jared Correia brings in Claude Simpson, Vice President of Client Operations at Smart Advocate, to unpack why that scattered data problem is nearly universal in legal practice. Claude explains that documents, not buzzwords, still run the practice of law, and that AI only works well when it is pulling from a structured case management system. They cover client portals, the real costs of switching platforms, data...
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Summary Jared Correia sits down with Luis Vargas Rivera, head of litigation at Embedded Counsel, to unpack a problem most solo and small firm litigators never get to solve: a real moot before a hearing. Luis built a Claude skill called Adversarial Review that simulates a three-judge panel, each with a different mindset, to attack his motions before a judge ever does. From there, the conversation covers AI accountability and Rule 11, Luis's move from big law to a boutique firm, why marketing to referral sources beats paid ad spend, and how cross-practice litigation experience wins cases other...
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Summary Law firms and legal departments sit on mountains of electronically stored information, and most have no real system for dealing with it. Warren Parrino, Regional Vice President of Solution Sales at TrustPoint.One, has a clear starting point: email threading, date filters, and search terms. From there, an early case assessment environment can cut review costs before a single document hits a reviewer's queue. Warren and Jared also cover modern attachments, audio and video redaction, and when AI actually earns its place in the workflow. The bottom line: AI only pays off after you...
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Law firms and legal departments sit on mountains of electronically stored information, and most have no real system for dealing with it. Warren Parrino, Regional Vice President of Solution Sales at TrustPoint.One, has a clear starting point: email threading, date filters, and search terms. From there, an early case assessment environment can cut review costs before a single document hits a reviewer's queue.
Warren and Jared also cover modern attachments, audio and video redaction, and when AI actually earns its place in the workflow. The bottom line: AI only pays off after you have already done the basics. Crawl, walk, then run.
About the Guest
Warren Parrino is Regional Vice President of Solution Sales at TrustPoint.One, an e-discovery and legal services company. A former practicing attorney in Birmingham, Alabama, he most recently co-led the company's project management team before moving into his current role, giving him a view from both the operational and client-facing sides of a project. He still holds his bar license, attributing that decision entirely to how hard the exam was.
Key Takeaways
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Start with email threading, date filters, and search terms before anything else. These three basics narrow your data set before you spend a dollar on document review.
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Early case assessment (ECA) databases are the single most effective way to cut e-discovery costs, yet most firms skip them because they have never heard of the approach, not because of cost.
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Modern attachments (hyperlinked files stored in OneDrive or SharePoint rather than attached directly to email) are the biggest current landmine in discovery, though workable solutions are emerging.
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Audio and video redaction that once cost thousands of dollars and required a production team can now be done at a desk in minutes using off-the-shelf tools.
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AI in e-discovery only delivers real savings after you have already cut your data set down. Throwing AI at a terabyte of raw data inflates your bill, it does not shrink it.
Links and Resources
- TrustPoint.One: trustpoint.one
- Red Cave Law Firm Consulting: redcavelegal.com
Keywords
e-discovery, ESI, electronically stored information, early case assessment, ECA, email threading, modern attachments, hyperlinked files, data management, RelativityOne, shadow AI, legal technology, law firm data, e-discovery costs, solo practitioner, small law firm, audio video redaction, document review, TrustPoint.One, e-discovery consultant
Episode Highlights
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[00:03:49 - 00:04:46] Warren lays out the three starting points for any firm overwhelmed by data: email threading, date filters, and search terms, in that order, before anything else.
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[00:05:56 - 00:08:13] Warren explains early case assessment, how it works in RelativityOne, and why communications analysis often surfaces the witness you never knew you needed.
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[00:08:13 - 00:09:02] The reason most firms skip ECA is not cost. It is lack of knowledge, because if cost were the issue, everyone would already be doing it.
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[00:09:08 - 00:10:44] Email threading today means reviewing one file instead of 15. It is not the labor-intensive process it once was, and the savings in time and cost are significant.
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[00:11:19 - 00:12:54] Modern attachments (hyperlinked files in SharePoint or OneDrive) create versioning, custodian, and association problems that traditional e-discovery workflows were not built to handle.
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[00:14:59 - 00:17:28] Audio and video redaction that once required a production team and thousands of dollars can now be done with off-the-shelf software at a desk. Warren shares a real transit authority case.
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[00:20:33 - 00:22:14] There is no minimum data threshold for engaging an e-discovery consultant. The only question is whether the hassle of managing the data yourself outweighs your willingness to deal with it.
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[00:24:33 - 00:28:06] AI in e-discovery is real and capable, but it only delivers savings after you have already cut the data set down. Warren describes what Relativity's AIR tools can do once the groundwork is done.