Drawing on 12 years of experience in software development and database architecture, David V. Sanker, Ph.D., works with clients to build strong patent portfolios in a variety of areas, including artificial intelligence (AI), machine learning, natural language processing, data visualization software, large-scale database architecture and storage infrastructure, data analytics software, and touchscreen technology. As AI tools have become widely available, inventions that use AI have become an increasing portion of his work, including inventions in industrial automation and life sciences.
To address the heightened patent subject matter eligibility requirements applied to software patents, David has developed proficiency in this area. David delivered a presentation on this topic at the Berkeley/Stanford Advanced Patent Law Institute in 2020 and has published an article on it.
While David’s current work is focused on building patent portfolios, he spent the first five years of his legal career in patent litigation, in cases before the US International Trade Commission, in the US Federal Circuit, and in federal district courts. David’s litigation background provides him valuable insight in building strong patent portfolios.
Prior to his career in law, David earned a Ph.D. in mathematics, worked as a software engineer developing large-scale data processing applications, and was an assistant professor of mathematics at Holy Names College.
University of California, Berkeley, 1989, Ph.D.
University of California, Berkeley School of Law, 2007, J.D.
University of Oregon, 1983, B.S.
U.S. Courts of Appeals for the Ninth and Federal Circuits
U.S. Patent and Trademark Office
Member, Practice Group of the Year, Intellectual Property, Law360 (2019)
Member, Litigation Department of the Year–Intellectual Property, The American Lawyer (2019)
Top 20 Artificial Intelligence Lawyers in California, Daily Journal (2019)