LawFlow : Collecting and Simulating Lawyers' Thought Processes
Debarati Das, Khanh Chi Le, Ritik Sachin Parkar, Karin De Langis, Brendan Madson, Chad M. Berryman, Robin M. Willis, Daniel H. Moses, Brett McDonnell, Daniel Schwarcz, Dongyeop Kang
2025-04-30
Summary
This paper talks about LawFlow, a collection of data that shows exactly how lawyers think through and solve legal problems from start to finish.
What's the problem?
AI often tries to take over complicated legal tasks, but it doesn't always think the same way as real lawyers, which can lead to mistakes or misunderstandings in legal work.
What's the solution?
The researchers built a detailed dataset that records every step in a lawyer's decision-making process, then used it to compare how humans and AI handle legal tasks. They found that AI should be used to help lawyers, not replace them, especially for complex problems.
Why it matters?
This matters because it helps make sure AI is used in a way that supports real experts, making legal work more accurate and trustworthy instead of risking errors by letting AI take over completely.
Abstract
LawFlow, a dataset of complete end-to-end legal workflows, reveals differences between human and LLM reasoning in legal tasks, suggesting AI should support rather than execute complex workflows.