When AI Stops Writing and Starts Deciding (Dan Sito, General Legal)

What changes for lawyers when an AI model stops writing and starts deciding?

In Episode 3 of the LegalQuants podcast, host Victor Wang talks with Dan Sito, head of the Tax practice at General Legal and former partner and first AI Innovation Partner at Perkins Coie. Dan explains Jev, TypeSafe AI's classifier model that answers with a probability instead of generating text, using a Magic 8 Ball he built to understand it. Victor describes how Jev turned his agent-swarm approach to discovery and due diligence into a near-instant first-pass filter.

The conversation moves to legal design: why interactive HTML deliverables beat the email-then-call loop, Dan's /legaldesign skill, and Victor's interactive client questionnaires. Then come voice-driven charts, a whiteboard that draws while you talk, software built for one person, and an 83(b) election filled in two seconds. They close on bionic lawyers, why not using these tools is now a choice, and why we still ask a human when the risk is real.

Dan Sito at General Legal: https://general.legal/attorneys/dan-sito Jev by TypeSafe AI: https://typesafe.ai/ Dan's /legaldesign skill, in the LegalQuants plugins: https://www.legalquants.com/lqplugins LegalQuants Residency: https://residency.legalquants.com/ LegalQuants: https://www.legalquants.com/

00:00 Cold open 00:50 Welcome: Dan Sito of General Legal 01:40 Dan's ChatGPT moment 05:04 More legal work, more creativity 07:17 Every model is a paradigm shift 11:51 What is Jev? 12:43 Jev example #1: the Magic 8 Ball 18:25 From agent swarms to Jev 22:44 Legal design: HTML instead of email 30:30 Victor's client questionnaires 33:23 Jev example #2: voice-driven charts 36:52 Jev example #3: the live whiteboard 39:23 Software for one 42:24 Jev example #4: an 83(b) in two seconds 46:33 Speed, focus, and cognitive load 49:54 Bionic lawyers 53:02 Still ask the human