Part One of a Two-Part Series
How many actors does it take to infringe a patent? At least in the case of a U.S. patent, the answer is “One ' and only one.”
How many actors does it take to infringe a patent? At least in the case of a U.S. patent, the answer is "One — and only one." This question is more than just a not especially amusing riddle. Rather, it calls attention to an issue that is likely to assume much greater importance in coming years: the need, as a prerequisite to showing infringement of a U.S. patent, to identify a single legal "actor" to whom each and every of the infringing elements of an accused system or process may be attributed.
Part One of a Two-Part Series
How many actors does it take to infringe a patent? At least in the case of a U.S. patent, the answer is “One ' and only one.”
ENJOY UNLIMITED ACCESS TO THE SINGLE SOURCE OF OBJECTIVE LEGAL ANALYSIS, PRACTICAL INSIGHTS, AND NEWS IN LawJournalNewsletters
Already have an account? Sign In Now
For enterprise-wide or corporate access, please contact Customer Service at [email protected] or call 1-877-256-2473.
NOT FOR REPRINT
© 2026 ALM Global, LLC, All Rights Reserved. Request academic re-use from www.copyright.com. All other uses, submit a request to [email protected]. For more information visit Asset & Logo Licensing.
Adverse Possessor Provided Insufficient Evidence to Support TackingTown’s Installation of Guardrails Did Not Constitute a TakingMortgagee Entitled to Deficiency JudgmentLandowner Adequately Alleged Trespass During Renovation
Entrepreneurship. It has such a romantic ring, doesn’t it? When we hear the word, we think of incredibly successful people who must lead a charmed life. But the truth of the matter is often far from that. Just ask Melissa Rogozinski whose recent book, Becoming Phoenix, tells a much different story.
Agentic AI introduces risks that are novel and complex, but the most effective response is a familiar one. Zero Trust answers the problem of when an AI agent misfires on its own by constraining what an agent can do rather than betting on how it will behave.
California is betting that it can accelerate AI adoption by acting as a demanding, trusted buyer, and that the governance evidence it extracts through procurement can become infrastructure the rest of the market reuses.