AI and the Legal Industry: Ethical Issues, Privacy/Security Considerations, Best Practices for Using AI

As an intellectual property litigator, Mr. Suarez focuses his practice on patent, copyright, and trade secret trials and appeals before every level of the U.S. court system, including federal district courts, U.S. courts of appeals, the U.S. Supreme Court, the U.S. Patent Trial and Appeal Board, and other administrative tribunals. Aside from litigation, Mr. Suarez provides counseling at the intersection of IP and emerging technology. He has written and spoken extensively on topics at the intersection of the Internet of Things and AI, and helps his clients navigate the challenges and opportunities with those technologies. To that end, Mr. Suarez assists clients with developing their IP policies and procedures—including their efforts to balance patent, trade secret, and copyright protections in the context of AI and IoT technology.

Professor Grossman, J.D., Ph.D., is a Research Professor in the David R. Cheriton School of Computer Science at the University of Waterloo, an Adjunct Professor at Osgoode Hall Law School of York University, and an affiliate faculty member at the Vector Institute of Artificial Intelligence, all in Ontario, Canada. She also is Principal at Maura Grossman Law, an eDiscovery law and consulting firm in Buffalo, New York. Professor Grossman is most well known for her scholarly work on technology-assisted review (“TAR”), which has been widely cited in the case law, both in the U.S. and abroad. She is also known for her appointments as a special master and/or as an expert in multiple, high-profile federal and state court cases. In addition to her J.D. from the Georgetown University Law Center, Professor Grossman also holds M.A. and Ph.D. degrees in Psychology from the Derner Institute of Adelphi University.  

Professor Marchant frequently lectures about the intersection of law and science at national and international conferences. He has authored more than 150 articles and book chapters on various issues relating to emerging technologies. Among other activities, he has served on six National Academy of Sciences committees, has been the principal investigator on several major grants, and has organized numerous academic conferences on law and science issues. He teaches courses in Law, Science and Technology, Genetics and the Law, Biotechnology: Science, Law and Policy, Health Technologies and Innovation, Privacy, Big Data and Emerging Technologies, and Artificial Intelligence: Law and Ethics.

Mr. Kahana is an experienced technology and IP lawyer, and also a Research Fellow at Stanford Law School. He counsel clients on a wide variety of matters related to intellectual property and cyber security and serves in a variety of cyber security thought-leadership roles. He works closely with the FBI, DOJ and colleagues from the private and academic sectors to promote and sustain cyber security best practices. At Stanford, he writes and lectures on the intersect between law and artificial intelligence. He has been interviewed on the BBC, KABC radio, Minnesota Public Radio, TheStreet.com and Stanford University Radio, KZSU FM.