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David Sanker

California

About David Sanker

Hi, I’m David. My story about becoming a Patent Attorney is a little atypical. This is my third career after being an Assistant Professor of Mathematics and a Software Engineer. I am a former partner at Morgan, Lewis & Bockius LLP. During 2005–2024, I practiced patent litigation and patent prosecution for Morgan Lewis, working in a wide variety of technology areas, including software, AI, cybersecurity, semiconductor devices, database architecture, data visualization, medical devices, artificial reality & virtual reality, and identify verification. Prior to law school, I was a software engineer for twelve years, developing large-scale production applications. Prior to that, I was a professor of mathematics for three years, teaching courses in mathematics and computer science. I am a thought leader in AI, regularly speaking and writing about AI topics including the use of generative AI and how AI influences intellectual property protection. Being a good Patent Attorney is more difficult than it might seem. I understand a wide variety of new technologies, and I can also explain the technology clearly and persuasively to patent examiners. In addition, I develop patent claims that are as broad as possible while limiting ambiguity. I work to secure patent rights for many companies, both small and large. Artificial Intelligence has a growing presence in patent applications, and it is a growing portion of my work, including both “high-tech” and in the Life Sciences. My previous experience as a Mathematician and Software Engineer provide a distinct advantage. That advantage continues to grow as the tools of AI advance. I am a member of the United States Patent Bar (56,242) and licensed to practice law in California (251,260).

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Education

U.C. Berkeley - Berkeley Law
J.D. | Aug 2004 - May 2007
I focused on patent law, and was a member of the Berkeley Technology Law Journal.
U.C. Berkeley - Department of Mathematics
Ph.D. | Aug 1983 - May 1989
My dissertation research was in Number Theory.

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