Artificial Intelligence and Legal Analytics

Kevin Ashley is a Professor of Law and Intelligent Systems at the University of Pittsburgh, Senior Scientist, Learning Research and Development Center, and Adjunct Professor of Computer Science. He received a B.A. from Princeton University, New Jersey, a J.D. from Harvard Law School, Massachusetts and a Ph.D. in computer science from the University of Massachusetts. A visiting scientist at the IBM Thomas J. Watson Research Center, New York, NSF Presidential Young Investigator and Fellow of the American Association for Artificial Intelligence, he is co-Editor-in-Chief of Artificial Intelligence and Law and teaches in the University of Bologna Erasmus Mundus doctoral program in Law, Science and Technology.

Part I. Computational Models of Legal Reasoning: 1. Introducing AI and Law and its role in future legal practice; 2. Modeling statutory reasoning; 3. Modeling case-based legal reasoning; 4. Models for predicting legal outcomes; 5. Computational models of legal argument; Part II. Legal Text Analytics: 6. Representing legal concepts in ontologies and type systems; 7. Making legal informational retrieval smarter; 8. Machine learning with legal texts; 9. Extracting information from statutory and regulatory texts; 10. Extracting argument-related information from legal case texts; Part III. Connecting Computational Reasoning Models and Legal Texts: 11. Conceptual legal information retrieval for cognitive computing; 12. Cognitive computing legal apps.