From AI Skeptic to True Believer: How DraftPilot is Transforming Contract Negotiation
Release Date: 02/03/2026
From Pilot to Production: How Axiom’s Clients Cracked the Legal AI Adoption Code
Axiom Insights
Join as he corrals , , and for an inside look at running successful AI pilots in legal organizations. After helping Axiom test dozens of tools and compress months of contract review work into days, this group of legal AI experts unlocked the secret to achieving 10x efficiency gains that few in-house teams know. In today’s episode, learn why 14-day trials doom AI adoption before it starts, why training your AI on thousands of past contracts degrades does the exact opposite of what lawyers expect it to do (get smarter; but no, it gets dumber), and how focusing on one specific use case...
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From AI Skeptic to True Believer: How DraftPilot is Transforming Contract Negotiation
Axiom Insights
Join as he sits down with , for a candid conversation about the AI revolution in legal tech. After running an ALSP for 10 years, applying the scientific method to contract redlining (including timing working lawyers with stopwatches), Daniel discovered the true impact today’s AI has on contract work: reducing redlining from 2.5 hours to 20 minutes. In this episode, learn why large language models (LLMs) succeeded where machine learning (ML) failed, why training on thousands of past contracts actually makes AI results worse, and how a simple “light blue highlight“ became the killer...
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The In-House Perspective on AI
Axiom Insights
Axiom’s Sean Rafter connects with Hiro Oshima, Managing Director and Deputy General Counsel at SMBC, to explore the pressing challenges legal departments face as they balance pressure to adopt AI with their responsibility to manage risk. Fresh from hosting 35 in-house counsel at an AI roundtable in New York City, Hiro discusses what true generative AI means for lawyers, why training future legal talent matters more than short-term efficiency gains, and what are the right questions to ask law firms and legal services partners about their AI use on client matters. SHOW PANELISTS ...
info_outlineJoin CJ Saretto as he sits down with Daniel van Binsbergen, CEO of DraftPilot, for a candid conversation about the AI revolution in legal tech.
After running an ALSP for 10 years, applying the scientific method to contract redlining (including timing working lawyers with stopwatches), Daniel discovered the true impact today’s AI has on contract work: reducing redlining from 2.5 hours to 20 minutes.
In this episode, learn why large language models (LLMs) succeeded where machine learning (ML) failed, why training on thousands of past contracts actually makes AI results worse, and how a simple “light blue highlight“ became the killer feature that won over the most skeptical lawyers.
Daniel shares surprising insights from his journey from Big Law to legal AI tech entrepreneur, including why he resisted building an “apply all“ recommendations button despite many requests, and how lawyers using AI well are already outpacing those who don‘t.
Whether you‘re a CLO or GC evaluating AI tools; a lawyer curious about the technology, or a legal ops professional looking to drive team efficiency, this conversation will give you practical insights on what actually works in AI-powered contract negotiation—and what‘s just blue-sky hype.
Key topics: LLMs vs machine learning in legal tech • The playbook revolution • Why historical data doesn‘t help • Building AI lawyers will actually use • The future of human judgment in an AI world • and more!
🎧 Part of the Axiom Legal Tech podcast series exploring innovation in legal services delivery
Visit https://www.axiomlaw.com/solutions/tech-plus-talent for more information