Media Summary: Recent AI systems are increasingly described as “reasoning models,” capable of producing multi-step analyses and explanations. Law professors prefer AI tutors over their own colleagues — and the gap isn't even close. In this talk, Alejandro Salinas de León ... Moderator: Prof. Harry Surden Participants: Oliver Goodenough, Carla L. Reyes, Mary-Anne Williams, Alexis Chun, John ...
Codex Futurelaw 2022 Computable Contracts - Detailed Analysis & Overview
Recent AI systems are increasingly described as “reasoning models,” capable of producing multi-step analyses and explanations. Law professors prefer AI tutors over their own colleagues — and the gap isn't even close. In this talk, Alejandro Salinas de León ... Moderator: Prof. Harry Surden Participants: Oliver Goodenough, Carla L. Reyes, Mary-Anne Williams, Alexis Chun, John ... A major honor for Stanford Law Professor and Stanford Reglab Director Daniel E. Ho: He has received the 2026 Participants: Roland Scharrer, Michael S. Pieciak, and Dan Siciliano. The law and the legal profession are undergoing rapid change due to – among other forces – expanding use of information ...
... are talking about process processes a Who gets promoted to federal judge — and why? In this talk, The legal industry faces a fundamental strategic fork: should law firms bolt AI onto existing structures, or build entirely new ... How many people in this room have a Starlink Pure LLMs get legal reasoning wrong 91% of the time. By combining them with knowledge graphs, that number flips to 89% ...
