LawFlow: Collecting and Simulating Lawyers' Thought Processes on Business Formation Case Studies

LawFlow is a legal AI benchmark developed at the University of Minnesota that captures full, end-to-end legal workflows for business formation matters. The dataset records how trained law students plan, research, communicate with clients, and draft documents over time, and contrasts these workflows with those produced by large language models. By focusing on dynamic, iterative reasoning rather than isolated input-output pairs, LawFlow enables fine-grained evaluation of where current legal AI systems fall short and how they might better augment, rather than replace, human lawyers.

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$74,132