[Ed. Note: Please welcome University of Texas Law Professor John Greil as our Guest Blogger. – GL] Neal Katyal’s TED Talk detailing the role of AI in the tariffs case has drawn substantial attention in the legal world, including an annotated transcript; Bloomberg Law reporting the “blowback,” and David Lat providing an on-the-record response from Mr. Katyal. I’d like to dig into an aspect I haven’t seen receive as much attention: what exactly did the AI do to help prepare Katyal, and how did it do it? This is meant to be a bit of a deep dive for LLM nerds and those who are AI-pilled. I approach these questions from the perspective of someone who has built AI tools for appellate argument preparation. So I’ve thought about these particular problems.
