Deconstructing Legal Text_Object Oriented Design in Legal Adjudication. - Megan Ma; Dmitriy Podkopaev; Avalon Campbell-Cousins; Adam Nicholas (CoRR, 2020)

The Legislative Recipe: Syntax for Machine-Readable Legislation. - Megan Ma; Bryan Wilson (CoRR, 2021)

Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI. - Bogdana Rakova; Megan Ma; Renee Shelby (CoRR, 2022)

Predicting consensus in legal document interpretation. - Brandon Waldon; Madigan Brodsky; Megan Ma; Judith Degen (CogSci, 2023)

The Future of AI & Law and the Impact of Generative AI. - Jack G. Conrad; Pablo Arredondo; Uwais Iqbal; Megan Ma; Laura Skylaki (LegalAIIA@ICAIL, 2023)

Conceptual Questions in Developing Expert-Annotated Data. - Megan Ma; Brandon Waldon; Julian Nyarko (ICAIL, 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; K. Aditya; Alex Chohlas-Wood; Austin Peters; Brandon Waldon; Daniel N. Rockmore; Diego Zambrano; Dmitry Talisman; et al. (NeurIPS, 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)

Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm. - Bogdana Rakova; Renee Shelby; Megan Ma (Big Data Soc., 2023)

Equitable Access to Justice: Logical LLMs Show Promise. - Manuj Kant; Manav Kant; Marzieh Nabi; Preston Carlson; Megan Ma (CoRR, 2024)

Towards Robust Legal Reasoning: Harnessing Logical LLMs in Law. - Manuj Kant; Sareh Nabi; Manav Kant; Roland Scharrer; Megan Ma; Marzieh Nabi (CoRR, 2025)