How to Teach Applied Legal Analytics and AI to Law Students: a Report from Leading Legal AI Expert Prof. Kevin Ashley
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Stanford Law School, Room 190
This event is free and open to the public. Lunch will be provided.
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Matthias Grabmair and Kevin Ashley offered a course on applied legal analytics and AI to students in law and computer science at the University of Pittsburgh and Carnegie Mellon University. In final projects, small teams of students applied data analytics and machine learning to legal problems. This talk reports highlights, lessons learned, and planned enhancements.
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Kevin Ashley Professor of Law, University of Pittsburgh School of Law
Professor Kevin D. Ashley is an expert on computer modeling of legal reasoning and cyberspace legal issues. In 2002 he was selected as a Fellow of the American Association of Artificial Intelligence “for significant contributions in computationally modeling case-based and analogical reasoning in law and practical ethics.” He has reported his research in conference proceedings of the American Association for Artificial Intelligence, the International Association for Artificial Intelligence and Law, and the Foundation for Legal Knowledge Systems (JURIX). He has also published in journals such as Jurimetrics, the International Journal of Artificial Intelligence in Education, and Artificial Intelligence and Law, of which he is a co-editor in chief. Professor Ashley has been a principal investigator of a number of National Science Foundation grants to study reasoning with cases in law and professional ethics. He is also the author of Modeling Legal Argument: Reasoning with Cases and Hypotheticals (MIT Press/Bradford Books, 1990) and of Artificial Intelligence and Legal Analytics: New Tools for Law Practice in the Digital Age (Cambridge University Press, 2017).
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