From AI Skeptic to True Believer скачать в хорошем качестве

From AI Skeptic to True Believer

How DraftPilot is Transforming Contract Negotiation Join Axiom’s CTO CJ Saretto as he interviews 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. SHOW PANELISTS • Host: CJ Saretto, Chief Technology Officer, Axiom (  / cjsaretto  ) • Daniel van Binsbergen, CEO of DraftPilot (  / danielvanbinsbergen  ) Here’s what they cover: 1. LLMs vs. Machine Learning in Legal Tech 2. The Playbook Revolution 3. Why Historical Data Doesn’t Help 4. Building AI Lawyers Will Actually Use 5. The Future of Human Judgment in an AI World 6. and more! EPISODE RESOURCES • Axiom’s website (https://www.axiomlaw.com) • DraftPilot’s website (https://www.draftpilot.ai) • Learn more about Axiom’s Legal AI solutions (https://www.axiomlaw.com/solutions/te...) • Subscribe to the Axiom Insights podcast (https://www.axiomlaw.com/resources/po...)