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In this webinar, Jenny Colgate and Mark Rawls, experienced “high technology” litigators, explore the emerging legal challenges posed by artificial intelligence in both the semiconductor and medtech industries, delving into issues such as intellectual property, breach of contract, unfair competition, data privacy and security, and liability for AI-driven decisions. Attendee will gain insights into effective risk mitigation strategies, understand the evolving legal landscape, and learn how to navigate the complexities of AI litigation in these critical sectors
ABOUT THE SPEAKERS:
Jenny Colgate is an experienced litigator whose expertise extends into all facets of intellectual property and technology-related matters, including patents, data protection, trade secret, unfair competition, trademark, copyright, breach of contract, and fraud claims. Jenny works across many subject areas, including artificial intelligence, healthcare, semiconductors, software, and consumer products. In addition to Jenny’s litigation practice, she also regularly counsels clients on AI governance programs, IP protection and enforcement, privacy law compliance and best practices, and contract/licensing issues. A recognized thought leader, Jenny routinely authors expert analyses and speaks on panels and webinars. Jenny has a B.A. from University of Pennsylvania (summa cum laude, with honors), an L.L.M. in intellectual property from University of New Hampshire Franklin Pierce Law center (magna cum laude), and a J.D. from University of New Hampshire Franklin Pierce Law Center (magna cum laude). Jenny is a certified CIPP/US privacy professional and has completed the IAPP AI Governance Professional training program.
Mark Rawls’ practice consists of a mixture of patent prosecution and litigation, as well as technology-related work such as the preparation of opinions, licensing, and post-grant work. His clients are in a wide range of industries, including such diverse fields as electronics, software, telecommunications, energy, medical devices, artificial intelligence and machine learning, and farm equipment manufacturing, and come from all over the world. These companies run the gamut from very small, startups to sophisticated global concerns with large patent portfolios. Prior to his legal career Mark was a computer scientist at Raytheon BBN Technologies, focusing on applying artificial intelligence/machine learning to speech recognition and machine translation technologies. This work also included working carefully with large language models to improve the accuracy of the speech recognition and machine translation models. This industry experience has given him a particular facility with software and software-adjacent technologies, including with artificial intelligence/machine learning. Mark holds a B.S. in Computer Science and Mathematics (magna cum laude) and an M.S. in Mathematics from University of Virginia in addition to a J.D. from William and Mary Law School (magna cum laude).
United States
