PatentNext Takeway: Ex parte Desjardins—and especially the USPTO’s decision to make it precedential—appears to be shifting examination away from § 101 and toward § 112 written-description scrutiny, particularly for AI-related inventions. For AI-related inventions, a central takeaway is that practitioners should expect more examiner demands for concrete disclosure of how an AI model is trained, what inputs and outputs are used, how preprocessing and post-processing occur, and how inference or agentic workflows actually operate. Prosecution data and a recent office action example also suggest that written-description rejections are increasing both overall and in AI applications. The practical implication is that patent applicants should not rely on high-level “black box” AI descriptions, but instead should draft specifications with enough technical detail to demonstrate possession of the claimed invention.

Continue Reading USPTO Examiners issue more Written Description (Section 112) rejections following Precedential Ex Parte Desjardins decision

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.