Megan Ma

According to our database, Megan Ma authored at least 12 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2025

Towards Robust Legal Reasoning: Harnessing Logical LLMs in Law.

Manuj Kant, Sareh Nabi, Manav Kant, Roland Scharrer, Megan Ma, Marzieh Nabi

CoRR, February, 2025

Human-Machine Legal Preference Benchmarking: An Experimental Pilot Evaluating the Comparative Performance of LLM Models, Enterprise Tools, and Humans on Legal Tasks.

Megan Ma, Riya Ranjan

Proceedings of the Twentieth International Conference on Artificial Intelligence and Law, 2025

2024

Equitable Access to Justice: Logical LLMs Show Promise.

Manuj Kant, Manav Kant, Marzieh Nabi, Preston Carlson, Megan Ma

CoRR, 2024

2023

Terms-we-serve-with: Five dimensions for anticipating and repairing algorithmic harm.

Bogdana Rakova, Renee Shelby, Megan Ma

Big Data Soc., July, 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, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

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, K. Aditya, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel N. Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory M. Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John J. Nay, Jonathan H. Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael A. Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Conceptual Questions in Developing Expert-Annotated Data.

Megan Ma, Brandon Waldon, Julian Nyarko

Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

The Future of AI & Law and the Impact of Generative AI.

Jack G. Conrad, Pablo Arredondo, Uwais Iqbal, Megan Ma, Laura Skylaki

Proceedings of the Third International Workshop on Artificial Intelligence and Intelligent Assistance for Legal Professionals in the Digital Workplace (LegalAIIA 2023) co-located with the 19th International Conference on Artificial Intelligence and Law (ICAIL 2023), 2023

Predicting consensus in legal document interpretation.

Brandon Waldon, Madigan Brodsky, Megan Ma, Judith Degen

Proceedings of the 45th Annual Meeting of the Cognitive Science Society, 2023

2022

Terms-we-Serve-with: a feminist-inspired social imaginary for improved transparency and engagement in AI.

Bogdana Rakova, Megan Ma, Renee Shelby

CoRR, 2022

2021

The Legislative Recipe: Syntax for Machine-Readable Legislation.

Megan Ma, Bryan Wilson

CoRR, 2021

2020

Deconstructing Legal Text_Object Oriented Design in Legal Adjudication.

Megan Ma, Dmitriy Podkopaev, Avalon Campbell-Cousins, Adam Nicholas

CoRR, 2020