Dr. Roland Vogl is a scholar, lawyer and entrepreneur who, after more than twenty years of academic and professional experience, has developed a strong expertise in legal informatics, intellectual property law and innovation. Currently, he is Executive Director of the Stanford Program in Law, Science and Technology and a Lecturer in Law at Stanford Law School. He focuses his efforts on legal informatics work carried out in the Center for Legal Informatics (CodeX), which he co-founded and leads as Executive Director. Dr. Vogl is also a Visiting Professor at the University of Vienna, Austria and where he teaches about U.S. intellectual property law and at Bocconi University in Italy where he teaches computational law. Dr. Vogl is also actively involved in the rapidly growing legal tech industry. He was named to the American Bar Association Journal’s „Legal Rebels,“ a highly-regarded group of legal innovators and he was previously selected as one of the Fastcase 50. Dr. Vogl is on the Board of Directors of Merico, LexCheck, and IPNexus and on the advisory board of Lawgood, Lexon, Legaler, Leap-IP and Rulebooks.

Steve Canepa, General Manager, IBM Global Industries & IBM Technology & Consulting: Mr. Canepa is responsible for achieving IBM’s revenue and cash-flow objectives for IBM clients organized in the four GTM geographies:  North America, Europe, Asia Pacific and Japan.  His teams are structured in four Industry Groupings:   Communications & Distribution, Banking, Financial Markets & Insurance, Manufacturing & Energy, Government and Health Care & Life sciences.  He leads marketplace relevance for IBM’s Hybrid Cloud and AI technology GTM strategy, including IBM’s portfolio of Software, Red Hat, Infrastructure, Consulting, Eco-System ISVs, GSIs and Cloud partners. Steve serves as a C-Suite advisor regarding the emerging Hybrid Cloud, AI, 5G, Edge and Security capabilities that are transforming businesses and fueled by the growing synergy in ‘Compute + Connectivity.’  He is an expert in shaping Business Strategy & Technology Architecture for competitive advantage and has deep insights into applying Open Technologies, Digital Media, Communications, Data & AI, Security and Automation for business value. Steve is committed to, and recognized for, building high-performance global teams and lasting and trusted relationships with employees, clients and partners.  His career has been centered on innovation and is highlighted by 25 years of increasingly complex global leadership roles in General Management, Sales, Strategy, Marketing, Consulting and Partner Eco-systems. Steve has received a number of important recognitions, including five EMMY awards for innovation, Frost and Sullivan recognized his leadership as Digital Media Company of the year and he has been recognized by Business Insider as one of IBM’s top leaders. 

Suresh Venkatasubramanian directs the Center for Technological Responsibility, Reimagination, and Redesign (CNTR) with the Data Science Institute at Brown University, and is a Professor of Computer Science and Data Science. Suresh's background is as a computer scientist and his current research interests lie in algorithmic fairness, and more generally the impact of automated decision-making systems in society. Suresh recently finished a stint in the Biden-Harris administration, where he served as Assistant Director for Science and Justice in the White House Office of Science and Technology Policy.  In that capacity, he helped co-author the Blueprint for an AI BIll of Rights. Prior to Brown University, Suresh was at the University of Utah, where as an assistant professor he was the John and Marva Warnock Assistant Professor. He has received a CAREER award from the NSF for his work in the geometry of probability, a test-of-time award at ICDE 2017 for his work in privacy, and a KAIS Journal award for his work on auditing black-box models. His research on algorithmic fairness has received press coverage across the globe, including NPR’s Science Friday, NBC, and CNN, as well as in other media outlets. He is a past member of the Computing Community Consortium Council of the CRA, spent 4 years (2017-2021) as a member of the board of the ACLU in Utah, and is a past member of New York City’s Failure to Appear Tool (FTA) Research Advisory Council, the Research Advisory Council for the First Judicial District of Pennsylvania and the Utah State Auditor's Commission on protecting privacy and preventing discrimination. 

Dr. Megan Ma is a Fellow and the Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX). Her research focuses on the translation of legal knowledge to code, considering its implications in contexts of human-machine interaction. She also teaches courses in computational law and insurance tech at the Law School. Dr. Ma is also the Managing Editor of the MIT Computational Law Report and a Research Affiliate at Singapore Management University in their Centre for Computational Law. Megan received her PhD in Law at Sciences Po and was a lecturer there, having taught courses in Artificial Intelligence and Legal Reasoning, Legal Semantics, and Public Health Law and Policy. She has previously been a Visiting PhD at the University of Cambridge and Harvard Law School respectively.