What do you do when OpenAI calls and asks you to make a set of plugins for the AMLAW250?
You gather the most elite lawyers and builders you can find and, of course, start a podcast.
Welcome to Episode 1 of the @LegalQuants podcast, available now on YouTube, Spotify, and your favorite podcasting platform. We explore the tips, tricks, techniques, and most importantly, the humans leading the most consequential era of the practice of law.
Sharing the full episode here for fun. You can find it at https://t.co/lCIls5yptV
TRACKED CHANGES: Ropes & Gray now lets all of its associates count up to 100 hours of experimenting with AI toward their billable targets, Reuters reports.
Readable, elegant writing is designed around human understanding for a human audience.
If AI produces contract language that is logically and legally precise but does not fit human convention, is it necessarily worse?
We humans are about to wrestle with this question.
Personalization at scale was always the dream for designers. Caring about a client or customer means meeting them where they are, visually or otherwise.
Lawyers are criminally undertrained on design, and most devolve into a block of 8 pt font that burns your self-respect.
GPT-6 and Intelligent UI, now rolling out in ChatGPT for everyone.
Intelligent UI in ChatGPT delivers fast, interactive answers that make everyday questions more visual, complex topics easier to grasp, and interactive tools for your task available on the spot.
One of the cringiest things lawyers like to do is send royally complex emails that drain a client's cognitive load (and wallet).
That feels like a non-starter in 2026, interactive htmls are the new medium for visualizing and gathering client feedback.
TL;DR there's a fundamental paradigm shift where dramatically increasing token usage actually unveils different ways to think about the system, and therefore the work. It's not JUST about enough tokens for a task, it's about enough tokens to change the organization.
I realize that's a bit vague but I'll have more to say.
@pingali@_Len_Hickey Push much harder with more agents scaled to complexity of task. Rely heavily on systems thinking so your org can have much higher output. Extreme prioritization.