In collaboration with @harvey, we’re excited to build a new kind of agent environment to reflect realistic knowledge work: an entire synthetic law firm, Calderwood & Harkness, with over 100M (!) tokens of documents and 250 client cases. 💼
Today’s AI models know a lot about the law, but don’t understand how the law is practiced, because this information remains proprietary within firms. Unlike how agents are benchmarked today – starting each task from scratch with a new set of context — lawyers accumulate knowledge over time, building on years of experience.
Calderwood & Harkness makes it possible for agents to do the same. Legal agents do many tasks in the same environment, making it possible to leverage memory and experience to do better work over time.
We’ve had a great time co-developing this benchmark with Harvey’s research team, partnering @ItsJulioPereyra @nikogrupen @gabepereyra. We’ll share more results on this soon.
Julio Pereyra (@ItsJulioPereyra)
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LAB: Law Firm Knowledge
We are open-sourcing our next LAB expansion: a synthetic law firm, Calderwood & Harkness (“C&H” or “the firm”). Built in collaboration with @engramlab, the firm contains work product from more than
— https://nitter.net/ItsJulioPereyra/status/2085772997944803682#m