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

Debarati Das, Khanh Chi Le, Ritik Sachin Parkar, Karin De Langis et al.

All authors

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

COLM 2025; inspected arXiv v2

What it adds

Records how trained law students plan, revise and carry out simulated business-formation work. Comparing these traces with model-generated workflows exposes differences that final-answer scores can miss.

Read with this limitation

Only ten finalized scenarios, with students role-playing lawyers and clients. Structured task plans and prompting can shape the observed differences. Logged actions reveal external behaviour rather than the models' internal reasoning.

Jurisdiction tags
United States
Language
English

Follow the source

Selected statements located in the linked primary sources. These results have not been independently reproduced here.

  1. The final dataset contains ten scenarios, ten memos and eight agreements.

    3. Dataset of Legal Workflows
  2. The authors caution that more linear model workflows may partly reflect the prompting setup.

    6. Conclusion
Entry status, source edition & rights
Index entry
Source-linked summary, prepared with agent assistance. Independent scholarly review is pending.
Archive admission
This bibliographic entry does not confer admission to the versioned archive.
Edition inspected
2504.18942v2
Reading coverage
Exact arXiv v2 full HTML inspected and retained privately; sections 3, 4, 6, 7 and references. Conference acceptance independently listed by COLM.
Rights
External links only; no full text mirrored on the Site. arXiv labels this version CC BY 4.0.
Entry updated
2026-10-15

Source-linked summary · independent assessment pending.

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