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- Li Zhang, Morgan Gray, Jaromir Savelka, and Kevin Ashley. “Measuring Faithfulness and Abstention: An Automated Pipeline for Evaluating LLM-Generated 3-ply Case-Based Legal Arguments.” (2025) In Proceedings of the 7th Workshop on Automated Semantic Analysis of Information in Legal Tex, Twentieth International Conference on Artificial Intelligence and Law. Chicago. June.
- Li Zhang, Kevin D. Ashley “Mitigating Manipulation and Enhancing Persuasion: A Reflective Multi-Agent Approach for Legal Argument Generation.” (2025) In Proceedings of the LCIC Workshop: Legally Compliant Intelligent Chatbots – The Challenge of Persuasion and Manipulation, Twentieth International Conference on Artificial Intelligence and Law. Chicago. June.
- Gray, M., J. Savelka, W. Oliver, and K. Ashley “Generating Legal Arguments with Automatically Identified Factor Magnitudes.”(2025) In Proceedings of the Twentieth International Conference on Artificial Intelligence and Law. 188-197. Chicago. June.
- Gray, M., L. Zhang, and K. Ashley “Generating Case-Based Legal Arguments with LLMs.” (2025). 4th ACM Computers and Law Symposium, Munich. March.
- Gray, M., J. Savelka, W. Oliver, and K. Ashley “Using LLMs to Discover Legal Factors.” (2024) In Legal Knowledge and Information Systems, Jurix, pp. 60-71. IOS Press.
- Savelka, J., Ashley, K. D., Gray, M. A., Westermann, H., & Xu, H. “Can GPT-4 Support Analysis of Textual Data in Tasks Requiring Highly Specialized Domain Expertise?” (2023). Proceedings Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023), June, Braga, Portugal. CEUR-WS.org arXiv preprint arXiv:2306.13906.
- Oliver, W.M., Gray. M.A., Savelka, J., and Ashley, K. “A First Step Toward an Automated Evaluation of Reasonable Suspicion,” (2023) Computational Data Science in Law Conference. Fordham Law School. August.
- Oliver, Wesley M., Morgan A. Gray, Jaromir Savelka, and Kevin D. Ashley. "Computationally Assessing Suspicion." U. Cin. L. Rev. 92 (2023): 1108.
- Gray, Morgan A., Jaromir Savelka, Wesley M. Oliver, and Kevin D. Ashley. Empirical legal analysis simplified: reducing complexity through automatic identification and evaluation of legally relevant factors. Philosophical Transactions of the Royal Society A 382, no. 2270 (2024): 20230155.
- Gray, M., Savelka, J., Oliver, W., & Ashley, K. Automatic identification and empirical analysis of legally relevant factors. (2023, June). In Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law (pp. 101-110).
- Gray, M., Savelka, J., Oliver, W., & Ashley, K. Can GPT Alleviate the Burden of Annotation? (2023). In Legal Knowledge and Information Systems (pp. 157-166). IOS Press.
- Gray, M., Savelka, J., Oliver, W., and Ashley, K. Toward Automatically Identifying Legally Relevant Factors. Legal Knowledge and Information Systems, Jurix 2022, pp. 53-62. IOS Press. Saarbrücken.
- Gray, Morgan A., Wesley M. Oliver, and Arthur Crivella. Identifying the Factors of Suspicion, 334 Legal Knowledge and Information Systems, 227-230 (2020). JURIX 2020.
