Introduction
Nick Breska focuses on patent preparation and prosecution, with particular depth in artificial intelligence, machine learning, data storage and security, memory management, network virtualization, and image and signal processing. He counsels technology clients of all sizes on building patent portfolios that protect core innovations and support long-term business strategy. Prior to joining Nixon Peabody, he practiced at Zilka-Kotab, where he contributed to the firm achieving a top ten nationwide patent firm rating in USPTO Tech Centers 2100 and 2600.
My focus
My practice spans the full prosecution lifecycle—from patent mining and invention disclosure through claim strategy, office action responses, and appeals—for clients ranging from individual inventors to large technology companies. I have particular experience in machine learning architectures, neural networks, and AI accelerators, including developing prosecution strategies for clients facing significant subject matter eligibility challenges under 35 U.S.C. § 101. That work has given me a detailed understanding of how to build claims that hold up both at the USPTO and, further down the line, in litigation.
My engineering background is integral to how I work. I engage directly with inventors—often at the level of architecture and implementation details—and I have conducted patent mining workshops with engineering teams to identify and structure protectable innovations that might otherwise go unfiled. I find that process genuinely collaborative, and it often surfaces the most commercially important IP a client has.
I also bring perspective from my experience supporting patent litigation matters, which has shaped how I think about prosecution strategy. Decisions made during prosecution have long tails, and keeping enforceability in view from the outset is something I prioritize with every client and portfolio.
Representative experience
Includes experience from prior firms.
- Counseled enterprise and emerging technology clients on patent portfolio development and prosecution strategy in artificial intelligence, machine learning, data storage and security, and image and signal processing
- Developed successful prosecution strategies for a high-volume client facing significant 35 U.S.C. § 101 challenges across a portfolio of AI and machine learning applications
- Advised technology clients on IP monetization strategy and patent portfolio risk mitigation
- Helped achieve a top ten patent firm rating nationwide for several years in USPTO Tech Centers 2100 and 2600, as ranked by Juristat based on prosecution performance and allowance rates
Looking ahead
The rapid integration of AI-generated products will pose challenges in determining who qualifies as an “inventor” with ownership rights, creating significant chain-of-title risks for clients from unassigned inventorship.
Admitted to practice
California
U.S. Patent and Trademark Office
Education
Santa Clara University School of Law, J.D.
Santa Clara University, B.S., Electrical Engineering (IP Specialization with Honors)
Professional activities
- Senior Design Advisor and Judge, Santa Clara University School of Engineering (2013–Present)




