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Section 101 Patent Examinations Machine Learning

BakerHostetler

Navigating Patent Eligibility in the Age of AI: Strategic Insights from the USPTO’s August 2025 Guidance

BakerHostetler on

The August 4, 2025 memorandum (Memo) issued by the U.S. Patent and Trademark Office (USPTO) clarifies how examiners should approach subject matter eligibility under 35 U.S.C. § 101. Importantly, the Memo provides critical...more

Morgan Lewis

USPTO Memo Clarifies AI/ML Patent Eligibility Rules

Morgan Lewis on

Deputy Commissioner for Patents Charles Kim issued a memorandum to three technology centers reminding examiners how subject matter eligibility should be evaluated under 35 USC § 101. These technology centers often handle...more

Fitch, Even, Tabin & Flannery LLP

USPTO Issues Guidance Clarifying Subject Matter Eligibility for AI and Software Claims

On August 4, the USPTO issued a Memorandum to examiners in Technology Centers 2100, 2600, and 3600, providing reminders and clarifications on evaluating subject matter eligibility under 35 U.S.C. § 101. This guidance is...more

Foley & Lardner LLP

USPTO Clarifies Eligibility Examination Standards for Software Innovations

Foley & Lardner LLP on

On August 4, 2025, the U.S. Patent and Trademark Office (USPTO) released a new memorandum to patent examiners in Technology Centers 2100, 2600, and 3600, providing targeted reminders on evaluating subject matter eligibility...more

ArentFox Schiff

USPTO Aims to Boost Patent Eligibility of AI and ML Inventions

ArentFox Schiff on

The US Patent and Trademark Office (USPTO) has issued new guidance to clarify and improve the evaluation of patent eligibility for artificial intelligence (AI) and machine learning (ML) inventions in order to foster...more

Sheppard Mullin Richter & Hampton LLP

Machine Learning Patentability in 2019: 5 Cases Analyzed and Lessons Learned Part 4

This article is the fourth in a five-part series. Each of these articles relates to the state of machine-learning patentability in the United States during 2019. Each of these articles describe one case in which the PTAB...more

Sheppard Mullin Richter & Hampton LLP

Machine Learning Patentability in 2019: 5 Cases Analyzed and Lessons Learned Part 2

This article is the second in a five-part series. Each of these articles relates to the state of machine-learning patentability in the United States during 2019. Each of these articles describe one case in which the PTAB...more

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