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PatentNext Summary: Announcing the IPO’s AI Patenting Handbook V3.0, which is a newly updated third edition of IPO’s practical guide for attorneys working with AI-related inventions and technologies. It offers a clear framework for understanding modern AI (including foundation models and generative AI), drafting and prosecuting stronger AI patent applications, and navigating enforcement, global practice, and emerging AI inventorship and governance issues—designed as a day-to-day reference for in-house and outside counsel.Continue Reading Artificial Intelligence (AI) Patenting Handbook: Version 3.0

               On August 4, 2025, the USPTO issued a memo to patent examiners with the subject “Reminders on evaluating subject matter eligibility of claims under 35 U.S.C. 101.” [1]
 Much has been made of these reminders and what they might signal in terms of a possible shift in how the Office treats rejections under § 101…

On October 8, 2025, the Office announced the “Automated Search Pilot Program,” a new initiative that will use an internal AI tool to conduct a prior art search before an application undergoes substantive examination. The pilot program slated to begin on October 20, 2025 offers applicants a unique, early look at an AI-generated…

PatentNext Summary: The USPTO issued “Reminders” for examiners in Tech Centers 2100/2600/3600 addressing §101 eligibility for software and Artificial Intelligence(AI) / Machine  Learning (ML)-related inventions; while not changing the MPEP, the guidance is meant to sharpen examination practice. It clarifies Step 2A, Prong One by limiting “mental process” to what can be practically performed in the human mind—stating that AI claim limitations not performable mentally are not “mental processes”—and by distinguishing claims that merely involve a judicial exception (e.g., Example 39) from those that recite one (e.g., Example 47). For Step 2A, Prong Two, examiners must evaluate the claim as a whole to identify a practical application, giving weight to meaningful additional limitations and to improvements in computer capabilities or a technical field, even if the improvement is only implicit in the specification. The Reminders caution against oversimplified “apply it” rejections, require a preponderance of evidence for “close call” §101 rejections, and reinforce compact prosecution that fully addresses §§102/103/112 for every claim in the first action.Continue Reading USPTO Issues “Reminders” Supporting AI and Software Patenting and instructing Patent Examiners on the Limits of Section 101 Patent Eligibility 

PatentNext Summary: In a precedential decision, the U.S. Court of Appeals for the Federal Circuit reversed a district court’s §101 dismissal of patent claims relating to an automated system for dumbbell weight selection and adjustment, finding that the claims were not abstract under Alice step one and therefore are patent-eligible. The Federal Circuit held that…

PatentNext Summary: In Brightex Bio-Photonics, LLC v. L’Oreal USA, Inc., the U.S. District Court for the Northern District of California invalidated patent claims relating to AI-driven cosmetic recommendations, finding them directed to an abstract idea under 35 U.S.C. § 101. The court held that while the specification referenced artificial intelligence, the claims themselves failed…

PatentNext Summary: In two recent decisions, the Federal Circuit reaffirmed that merely applying artificial intelligence or digital techniques to a specific “field of use” does not satisfy patent eligibility under 35 U.S.C. § 101. In Recentive Analytics v. Fox Corp., claims directed to AI-assisted television scheduling were deemed abstract for lacking inventive implementation. Similarly, in…

PatentNext Summary: The Federal Circuit’s decision in Recentive Analytics, Inc. v. Fox Corp. found that applying generic machine learning techniques to a new environment, without a specific technological improvement, is patent-ineligible under 35 U.S.C. § 101. The court emphasized that claims must articulate concrete technological advancements rather than merely applying established methods to different domains.

Agentic AI is transforming artificial intelligence by enabling systems to act independently, making decisions and solving problems autonomously across various industries. Its potential rapid development poses unique challenges for intellectual property protection, requiring innovative strategies to ensure these advancements are effectively safeguarded within the evolving IP landscape.Continue Reading Agentic AI: Transforming Industries and Navigating the Patent Frontier

PatentNext Summary: Generative Artificial Intelligence (GenAI) patent application filings continue to rise at the U.S. Patent and Trademark Office (USPTO), with a significant concentration in Tech Center 2100, which focuses on computer architecture and software, particularly AI and simulation technologies. GenAI inventions commonly face Section 103 (obviousness) and Section 101 (subject matter eligibility) rejections, with…