LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 2023)

Large Language Models as Tax Attorneys: A Case Study in Legal Capabilities Emergence. - John J. Nay; David Karamardian; Sarah B. Lawsky; Wenting Tao; Meghana Bhat; Raghav Jain; Aaron Travis Lee; Jonathan H. Choi; Jungo Kasai (CoRR, 2023)

LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models. - Neel Guha; Julian Nyarko; Daniel E. Ho; Christopher Ré; Adam Chilton; Aditya Narayana; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (CoRR, 2023)

Interrogating LLM design under copyright law. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (FAccT, 2025)

Interrogating LLM design under a fair learning doctrine. - Johnny Tian-Zheng Wei; Maggie Wang; Ameya Godbole; Jonathan H. Choi; Robin Jia (CoRR, 2025)