Adam Hipp
Patent Attorney @Outlier Patent Attorneys, Pllc
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WORK HISTORY
Patent Attorney @Outlier Patent Attorneys, Pllc
Boise, ID, US
Managing Member and Patent Attorney.• Draft and prosecute patent applications involving machine learning systems, blockchain infrastructure, fraud detection platforms, distributed data architectures, and semiconductor device technologies• Develop patent strategy and continuation sequencing aligned with system architecture and product evolution• Conduct invention review sessions with engineering leadership prior to release• Manage U.S, PCT, European, and Asian prosecution and coordinate foreign counsel• Advise on patent versus trade secret treatment, model training data ownership, open-source exposure, and AI governance considerations• Evaluate patent scope in venture financings, acquisition diligence, and licensing contexts• Analyze patent license agreements against deployed product architectures to assess scope of rights and risk exposure• Advise executive and product leadership on portfolio direction, IP positioning, and commercialization strategy• Provide counsel on IP provisions in licensing, vendor, confidentiality, and technology partnership agreements• Organize and position semiconductor patent assets in preparation for outbound licensing transactions
EDUCATION
California Polytechnic State University-San Luis Obispo
M.S., Electrical Engineering
California Polytechnic State University-San Luis Obispo
B.S., Electrical Engineering
University of San Francisco School of Law
J.D., Intellectual Property and Cyberlaw Certificate, with honors
ABOUT ADAM HIPP
Patent attorney focused on AI systems, distributed computing platforms, and semiconductor technologies.I draft and prosecute patent applications involving machine learning architectures, data processing pipelines, blockchain infrastructure, and mixed-signal hardware systems. My work combines invention capture, claim drafting, and continuation planning into a structured portfolio.I develop patent strategy that guides what gets filed, how claims are framed, and how portfolios evolve as products develop.In AI-enabled systems, this work often intersects with data governance and system design decisions. I advise on patent versus trade secret treatment, training data ownership, model retraining logic, open-source exposure, and allocation of rights in derived outputs.In financing and acquisition settings, I review patent scope against deployed system architecture to assess scope, coverage, and risk.My background includes semiconductor device structures, RF systems, signal processing, distributed software platforms, and AI systems deployed in regulated environments.
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