A Survey of
Large Language Models in Law

We are writing the first canonical survey of large language models in law. LLMs already pass the bar exam[1], achieve a perfect LSAT score[2], and interpret statutes[3], yet no comprehensive survey exists. Let us write one together.

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References

  1. [1]Katz, D. M., Bommarito, M. J., Gao, S., & Arredondo, P. (2024). GPT-4 Passes the Bar Exam. Philosophical Transactions of the Royal Society A, 382(2270).
  2. [2]Ku, B. (2026). AI Achieves a Perfect LSAT Score. arXiv:2604.10034.
  3. [3]Blair-Stanek, A., Holzenberger, N., & Van Durme, B. (2023). Can GPT-3 Perform Statutory Reasoning? Proceedings of the 19th International Conference on Artificial Intelligence and Law (ICAIL).

History of “A Survey of LLMs in X” Papers

The evolving catalog of canonical survey papers.

In Progress
A Survey of Large Language Models in Law
2026

Forthcoming

A Survey of Large Language Models for Financial Applications
2024
Nie et al. · arXiv:2406.11903 · Cited by 178
A Survey on Large Language Models for Critical Societal Domains: Finance, Healthcare, and Law
2024
Chen et al. · arXiv:2405.01769 · Cited by 146
A Survey of Large Language Models in Finance (FinLLMs)
2024
Lee et al. · arXiv:2402.02315 · Cited by 217
A Survey of Large Language Models in Medicine: Progress, Application, and Challenge
2023
Zhou et al. · arXiv:2311.05112 · Cited by 333
A Survey on Large Language Model based Autonomous Agents
2024
Wang et al. · Frontiers of Computer Science · Cited by 3,336
A Survey on Large Language Models for Recommendation
2023
Wu et al. · arXiv:2305.19860 · Cited by 947
A Survey of Large Language Models
2023
Zhao et al. · arXiv:2303.18223 · Cited by 8,288