Solving Unique Legal Problems Using Machine Learning and Expert Teams
There is a lot of buzz regarding the change AI is bringing to the legal space–who hasn’t read an article about “robot lawyers” coming to...
About Me
Dr. Daniel M. Katz is VP, Data Science and Innovation, and manages Elevate’s data analytics and artificial intelligence (AI) strategy. He assists in both internal and customer efforts to infuse data science and AI into existing work streams. This includes supporting not only the customer’s technical requirements but also the associated education and change management. Prior to joining Elevate, Daniel was the Co-Founder and Chief Strategy Officer at LexPredict – a legal technology and analytics company which was acquired by Elevate in November 2018. In addition to his work at Elevate, Dr. Katz is also a Professor of Law at Illinois Tech–Chicago Kent College of Law where his academic work focuses on the scientific study of legal complexity as well as the application of artificial intelligence and analytics in law. Dr. Katz’s academic work has been published in leading academic journals including Science, Plos One, Journal of Statistical Physics, Artificial Intelligence & Law and Physica A; legal journals including Cornell Journal of Law & Public Policy, Emory Law Journal, Virginia Tax Review, Iowa Law Review, Illinois Law Review, Ohio State Law Journal, Journal of Law & Politics, and Journal of Legal Education; and has been featured in publications including the New York Times, Wall Street Journal, Financial Times, Wired Magazine, Bloomberg Business Week, 538.com, National Public Radio, BBC Radio, The American Lawyer, ABA Journal, Legal Futures (UK), Law Society Gazette (UK) and The Globe and Mail (Canada). Daniel earned both his Ph.D. and J.D. at the University of Michigan.
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