My research in Artificial Intelligence and Law focuses on case-based reasoning and legal argumentation with statistical methods. My research is motivated by the long standing research in AI and Law focusing on using formal models to analyze precedent, produce arguments, and model reasoning. I seek to accomplish the same but through statistical methods, which are generally more scalable. My dissertation, THETICAL, researches the intersection of machine learning (ML) prediction, legal argumentation, and machine explanation. I also devote a significant amount of time to studying AI Literacy in legal education.
I'm always happy to hear from researchers and practitioners working at the intersection of AI, law, and legal education. I'm especially drawn to projects involving case-based reasoning, legal argumentation, ML explainability, and AI literacy in legal curricula. The collaborations I find most rewarding tend to start with a concrete question or problem — so if you have one in mind, I'd love to hear about it. Drop me a line at morgan.gray@stthomas.edu.