My AI Learning List

One of my goals for this year was to do a deep-dive into understanding AI – and what it means for legal analysis and writing (which is 90% of what I do here at On Point Expertise; the other 10% is oral argument).

I approached my goal the way I approach an appeal. First I zoomed way out; then I focused on areas that appeared most relevant to what I need to do. For appeals and complex motions it looks like this: I research and absorb secondary source commentaries, and I read case law and statutes; I listen to recordings of past oral arguments (my own and others’) to get a sense of what judges ask about particular topics, so I can better anticipate where their attention will go when reading my brief.

For learning about AI this year, it looked similar: I read books, listened to podcasts, and followed thought leaders on substack from both sides of the AI spectrum (both accelerationist optimists and doomer, it’s-going-to-kill-us-all pessimists). Colleagues have asked me for recommendations about where to start with, or learn more about, AI. So I used Gemini to create a handy list. See here what I've been reading and listening to for a deeper understanding of what is happening with AI – and where it might be going.

What's on your AI learning list? Get in touch and let me know.