David Sanker is not only an experienced patent attorney and former partner at Morgan Lewis, but also a mathematician and software engineer. David earned his PhD in Mathematics from UC Berkeley in 1989 and returned to Berkeley 15 years later for a degree in law, after three years in academia and 12 years in production software development. At Morgan Lewis from 2005–2024, David practiced patent litigation and patent prosecution 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. As a patent practitioner, David works with clients, inventors, the US Patent Office, and associates throughout the world to build strong international IP protection. David is 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.

David Sanker is not only an experienced patent attorney and former partner at Morgan Lewis, but also a mathematician and software engineer. David earned his PhD in Mathematics from UC Berkeley in 1989 and returned to Berkeley 15 years later for a degree in law, after three years in academia and 12 years in production software development. At Morgan Lewis from 2005–2024, David practiced patent litigation and patent prosecution in a wide variety of technology areas, including software, AI, cybersecurity, semiconductor devices, database architecture, data visualization, medical devices, artificia...

Publications

Artificial Intelligence Law Guide

Author of the United States - Market Insights (Technology) chapter in the Artificial Intelligence Law Guide , published 16 July 2026 .

Artificial Intelligence Law Guide

Author of the United States chapter in the Artificial Intelligence Law Guide , published 8 October 2024 .

Artificial Intelligence Law Guide

Co-author of the United States chapter in the Artificial Intelligence Law Guide , published 4 October 2022 , alongside Ai Leen Koh, Ph.D. .