Share on LinkedInShare on LinkedIn

ARTICLE · 21 MARCH 2025

Understanding How To Patent Agentic AI Systems

Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Explore more from Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.

Artificial intelligence is evolving beyond simple pattern recognition and content generation into autonomous decision-making.

United StatesIntellectual Property
Frank L. Gerratana
Frank L. Gerratana
Neil Supnekar
Neil Supnekar
Author LinkedIn connections

Introduction

Artificial intelligence is evolving beyond simple pattern recognition and content generation into autonomous decision-making. Agentic AI systems act independently—or with limited human supervision—to achieve specific objectives. These systems employ various machine learning techniques, including reinforcement learning, natural language processing, and knowledge representation, to operate effectively in dynamic environments.

Agentic AI is fundamentally different from Generative AI (GenAI) systems like ChatGPT or Grok. While GenAI specializes in creating content based on human prompts, Agentic AI systems execute sequences of actions autonomously to accomplish predefined goals. Unlike GenAI, which requires human input at each step, Agentic AI can act continuously, adjusting its behavior based on environmental feedback.

We operate a free-to-view policy, asking only that you register in order to read all of our content. Please login or register to view the rest of this article.

Register for freeORLog in

The content of this article is intended to provide a general guide to the subject matter. Specialist advice should be sought about your specific circumstances.

View source

Related Articles

Legal Intelligence Newsletters: sign up for the latest legal and regulatory news on your chosen topics

Read more about

Related Comparative Guides

See more popular content from

Article

UMG v. DistroKid: When AI Becomes A Consumer Protection Issue

Universal Music Group's lawsuit against DistroKid raises a critical question about AI disclosure in consumer markets: when does the use of artificial intelligence become material information that must be disclosed to consumers? The case centers on allegations that DistroKid distributed mass-generated AI music while creating the impression it was created by legitimate human artists, potentially violating existing consumer protection laws even without specific AI disclosure requirements.
United StatesIntellectual Property
Frankfurt Kurnit Klein & Selz PC
Frankfurt Kurnit Klein & Selz PC
Article

U.S. Government Backs Fair Use For AI Training In OpenAI Copyright Litigation

The U.S. government has filed a Statement of Interest of the United States of America under 28 U.S.C. § 517 in the Southern District of New York multidistrict litigation over OpenAI’s use of copyrighted works to train large language models. The filing appears to be the federal government’s first direct intervention in the wave of artificial intelligence (AI) training copyright cases, and it advises the court to treat model training (separate from use of AI to generate outputs) on copyrighted text standing alone as a highly transformative fair use under current law.
United StatesIntellectual Property
Lowenstein Sandler LLP
Lowenstein Sandler LLP
Article

The Ninth Circuit Affirms Dismissal Of DMCA CMI Removal Claim Against AI Code Generator – Output Is A New Work Not A Copy Of Training Data

There was a significant ruling in the Doe v. Github case involving training of AI code generator models on open source. The United States Court of Appeals for The Ninth Circuit affirmed the district court ruling dismissing part of an action brought under the Digital Millennium Copyright Act (“DMCA”) by programmers against GitHub, Inc., and other defendants. The issues centered on whether defendants removed copyright management information (CMI) from content used to train the AI code generator models.
United StatesIntellectual Property
Sheppard
Sheppard
Article

Is This Real? Navigating AI Impersonation Under New And Existing Laws

Is this AI-generated, or is it real? As generative AI tools have become increasingly capable of creating realistic images, videos, and audio, they have also made it easier to impersonate real people without their consent. In response, states are increasingly adopting laws that impose civil and criminal liability for certain AI-generated content that replicates an individual’s identity, likeness, voice, or other personal attributes.
United StatesIntellectual Property
Wiley Rein
Wiley Rein
Article

The Trademark Scam Field Guide: Look-Alike Filing Sites, Fake USPTO Notices, And How To Get Out If You’ve Been Caught

A business decides to file a trademark. Someone on the team searches for a familiar online legal-services brand, clicks the first result, and lands on a site with a similar-sounding name, a polished design, five-star reviews, and a low flat fee. The application gets filed. Months later the business learns the “service” was not who they thought it was, the filing was signed by someone with no authority to sign it, and the USPTO has suspended the application along with hundreds or thousands of others from the same shop.
United StatesIntellectual Property
Harness IP
Harness IP
Article

AI Learning Or AI Copying? Ninth Circuit Weighs In

The Ninth Circuit held that GitHub Copilot's AI-generated code did not violate DMCA's copyright management information (CMI) removal provisions, even when output resembled source code, because the system generated new works through probabilistic patterns rather than retrieving and stripping information from existing copies. This decision establishes a critical distinction between AI systems that learn and generate versus those that retrieve and reproduce, with significant implications for how courts evaluat
United StatesIntellectual Property
Ballard Spahr LLP
Ballard Spahr LLP
Article

Massachusetts’ 2026 Ballot Questions: What Clients Need To Know

Massachusetts voters will decide nine statewide ballot questions in November 2026 that could fundamentally reshape the state's legal, regulatory, and fiscal landscape. These measures address government transparency, election reforms, housing development, marijuana regulation, firearms laws, and state revenue limits, with implications extending far beyond Election Day to implementation, regulation, and ongoing policy debates.
United StatesGovernment, Public Sector
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

Pharmaceutical Policy In Motion Continued: The Trump Administration’s Second Wave Of Drug Pricing Deals

The Trump administration's most-favored-nation pricing initiative has expanded to include nine additional mid-sized pharmaceutical manufacturers, bringing the total coverage to 89% of the brand drug market. These new agreements focus on Medicaid pricing discounts aligned with international rates, while manufacturers commit billions to U.S. manufacturing and research in exchange for exemptions from future pricing mandates and potential tariffs.
United StatesFood, Drugs, Healthcare, Life Sciences
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

California’s AI-in-the-Workplace Legislative Blitz: California Legislature Passes Four New Bills That May Affect Employers

The California Legislature’s 2025–2026 session ended with workplace-related artificial intelligence or automated technology in its crosshairs. If Governor Newsom signs this suite of bills, California employers may face a number of new obligations relating to AI-driven surveillance tools, automated decision systems, and other emerging workplace technologies.
United StatesTechnology
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

Office Of Strategic Capital Opens Application Window For National Security Fund Finance Program

The Department of War's Office of Strategic Capital has launched a groundbreaking $500 million to $1 billion fund finance program targeting critical minerals vital to U.S. national security. How will this federal-private capital partnership reshape financing for companies addressing supply chain vulnerabilities in strategic materials?
United StatesFinance and Banking
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

MintzTech Connect Industry News: Spotlight On Retro

Retro, a friends-only photo-sharing app built by former Instagram teammates Nathan Sharp and Ryan Olson, is challenging today's algorithm-driven social media landscape with a private, ad-free alternative. The app functions as a weekly photo journal designed to reconnect users with close friends and family, eschewing public feeds, follower counts, and AI-generated content in favor of intimate, subscription-based social spaces.
United StatesMedia, Telecoms, IT, Entertainment
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

DOE’s New Strategic Plan Sets An Expansive Course For Energy Dominance Financing

The US Department of Energy's Office of Energy Dominance Financing has unveiled its Strategic Plan for 2026-2030, marking a significant shift in federal energy financing priorities. With over $300 billion in combined loan authority across four programs, EDF aims to deploy hundreds of billions in new financing commitments while maintaining rigorous underwriting standards.
United StatesEnergy and Natural Resources
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Article

Client Spotlight: Antora Energy Powers The Future Of Industrial Energy Storage

Antora Energy, a leading US thermal battery manufacturer, has secured $550 million in Series C financing to scale deployment of its innovative energy storage technology that converts low-cost electricity into heat stored in solid carbon blocks. The oversubscribed funding round will support expanded manufacturing capacity, establishment of a second US production hub, and large-scale project deployment to meet surging energy demand from industrial facilities, data centers, and the grid.
United StatesEnergy and Natural Resources
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.
Mintz, Levin, Cohn, Ferris, Glovsky and Popeo, P.C.