Michael Bommarito

Michael Bommarito is an adjunct professor at Stanford University and a CodeX Affiliate. He focuses on applying natural language processing, machine learning, and simulation to legal and public policy domains. His research includes predicting Supreme Court decisions, analyzing legal complexity, and modeling environmental policies. Bommarito has published in top-tier journals such as Science, Plos One, and Artificial Intelligence & Law, and authored Legal Informatics (Cambridge University Press, 2021). He is also a serial entrepreneur, serving as CEO of 273 Ventures and former CEO of LexPredict.

His work spans interdisciplinary fields, bridging computational methods with legal practice and policy analysis. Key research themes include legal text complexity measurement, judicial decision prediction, and treaty/citation network dynamics. Bommarito's contributions have been recognized through publications in prestigious journals, though no specific awards are explicitly mentioned in the text.

As part of his professional ventures, Bommarito has led legal technology companies, demonstrating a dual focus on academic research and industry innovation. His current role at CodeX reflects ongoing engagement with legal informatics at Stanford.