{"version":1,"type":"rich","provider_name":"Libsyn","provider_url":"https:\/\/www.libsyn.com","height":90,"width":600,"title":"Where AI Actually Helps and Fails in M&A Legal Work","description":" Aaron Binstock, Partner, Co-Head of Private Equity Practice at Cooley LLP Aaron walks Kison Patel through where AI earns its keep in M&A legal work. It drafts well on a single provision, struggles with a full 80-page markup, catches defined-term errors, and benchmarks a repeat client's past deals. Its issues lists overreach, flagging who serves as independent accountant. He shares his reverse prompt ("Is there anything else I can tell you?"), how Cooley handles clients who opt out of AI, and why diligence can now cover all 10,000 contracts instead of the top 100. Bottom line: AI owns nothing. The lawyer owns the result. AI can pull change of control language out of a data room, but someone still checks every chart, and sellers want to know who sees their documents. DealRoom keeps diligence requests, documents, and permissions in one place. IVC Evidensia's result: review time cut from 30 minutes to 2. https:\/\/dealroom.net\/case-studies\/how-ivc-evidensia-executes-300-plus-roll-ups-per-year-with-dealroom?utm_source=libsyn&utm_medium=podcast&utm_campaign=ep428-show-notes ","author_name":"M&A Science","author_url":"http:\/\/www.mascience.com","html":"