Where AI Actually Helps and Fails in M&A Legal Work

1 rich Libsyn https://www.libsyn.com 90 600 Where AI Actually Helps and Fails in M&A Legal Work Aaron Binstock, Partner, Co-Head of Private Equity Practice at Cooley LLP Aaron walks Kison Patel through where AI earns its keep in M&amp;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&amp;utm_medium=podcast&amp;utm_campaign=ep428-show-notes M&A Science http://www.mascience.com <iframe title="Libsyn Player" style="border: none" src="//html5-player.libsyn.com/embed/episode/id/42416710/height/90/theme/custom/thumbnail/yes/direction/forward/render-playlist/no/custom-color/88AA3C/" height="90" width="600" scrolling="no" allowfullscreen webkitallowfullscreen mozallowfullscreen oallowfullscreen msallowfullscreen></iframe> https://assets.libsyn.com/secure/content/207593829