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Developments

Artificial intelligence patent developments

Developments in United States, European and Asian patent law affecting software and artificial intelligence inventions, together with the regulation and policy that shapes what clients can build and ship. Newest first. Court decisions, agency guidance, regulation, what the largest artificial intelligence companies are filing, and the economics of running a patent program. Every entry says what the item is and what it changes for someone holding or seeking patents.

Last updated 2026-09-14 Showing the 12 most recent of 13 United States, Europe & Asia
2026-09-09 Research

A randomized trial finds artificial intelligence drafting help improves patent drafts, and that only experienced lawyers keep the improvement

David H. Autor, Tanya Rodchenko, Josh Martin, Zanna Iscenko, Scott Strand, David Pearl and Melissa Ferere, “Does AI Assistance Enhance or Erode Expertise? Evidence from a Three-Month Field Experiment in Patent Drafting,” National Bureau of Economic Research Working Paper No. 35720 (September 2026)

One hundred thirty-three patent lawyers at eleven United States intellectual property firms were randomly assigned access to an artificial intelligence drafting tool for ninety days. Blinded patent attorneys scored the resulting work on enforceability, technical accuracy, strategic ambiguity, completeness and clarity. Access raised the quality of benchmark drafting work by 0.34 standard deviations at ten days and 0.38 standard deviations at ninety days, with the larger gains going to junior lawyers. When the tool was withdrawn, the lawyers who had used it still outperformed the control group by 0.32 standard deviations, but that advantage sat entirely with the senior lawyers, at 0.45 standard deviations. Junior lawyers showed no average improvement on unaided judgment tasks, and their scores spread out rather than rising: fewer middling results, and more that were either poor or excellent.

What it changesThe measured gain is real, and it is largest exactly where the supervision burden is heaviest. Two things follow for anyone running a patent program. A quality figure produced under this design is a figure for supervised output, so the attorney review that produced it belongs in the budget rather than being treated as the cost the tool removes. And the people whose drafts improve most are the people least able to work without the tool afterward, which makes tool access a staffing and training decision rather than a procurement decision.
2026-09-02 Costs

Congress carries United States Patent and Trademark Office fee setting authority only to the end of the year

Hearing, “Renewal of USPTO Fee Setting Authority: Giving Full Effect to the America Invents Act,” Subcommittee on Courts, Intellectual Property, Artificial Intelligence, and the Internet, Committee on the Judiciary, United States House of Representatives, September 2, 2026

The authority Congress granted the United States Patent and Trademark Office to set and adjust its own fees under the Leahy-Smith America Invents Act was scheduled to lapse on September 16, 2026, at the end of the fifteen-year period running from enactment. Section 2015 of Division B of Senate Resolution 830 amended Section 10(i)(2) of that Act to carry the authority to December 11, 2026 instead. The Subcommittee on Courts, Intellectual Property, Artificial Intelligence, and the Internet held an oversight hearing on renewal on September 2, 2026, taking testimony from Teresa Rea of Rea Consulting, Morgan Reed of the Association for Competitive Technology, Professor Melissa Wasserman of the University of Texas School of Law, and David Kappos of the Council for Innovation Promotion. The witnesses supported renewal but divided on whether Congress should attach conditions, among them a genuine sunset, limits on the Office's discretionary denial of inter partes review institution, and full reconstitution of the Patent Public Advisory Committee, which is operating with four of its nine voting members. Professor Wasserman urged that the Office recover more of its examination cost before allowance while keeping the small entity and micro entity discounts in place.

What it changesA patent budget built more than a year out should not assume the current fee schedule. The restructuring discussed at the hearing moves money forward, toward filing and examination and away from issuance and maintenance, which raises the cash requirement in the first eighteen months of every new matter. The program most exposed is the one with a large pending docket and a small issued base, which describes most companies filing heavily on artificial intelligence right now. Model the front-loaded case against the current docket before the December deadline, not after a notice of proposed rulemaking appears.
2026-07-23 Fed. Cir.

A physically separable interface limitation carried one claim past the abstract idea step

Ceiva Opco, LLC v. Amazon.com, Inc., No. 2024-1721 (Fed. Cir. July 23, 2026) (nonprecedential) (Reyna, J., joined by Moore, C.J., and Lourie, J.); United States Patent Nos. 6,442,573, 9,203,930, 9,654,562 and 9,124,656

The district court held the asserted claims of four digital picture frame and digital display patents ineligible under 35 United States Code section 101 on summary judgment. The Federal Circuit affirmed as to three of the patents and reversed as to claim 19 of United States Patent No. 6,442,573. The panel held that claim 19 was not directed to an abstract idea because it required a user interface physically separable from the picture frame, a requirement the specification tied to a concrete technical advance: operating and loading the device remotely, where the prior art required the user to be in front of it. What carried the claim was the structural limitation recited in the claim itself rather than any advantage asserted in the specification. Amazon petitioned for rehearing on August 24, 2026, arguing that the limitation cannot bear the weight the panel placed on it.

What it changesThe claim survived on what it recited, read as a whole. The panel treated the physically separable interface as a critical concrete limitation within the claimed combination, and read the claim in light of a specification that explained the prior-art problem it solved, so no single limitation carries eligibility on its own. Where an artificial intelligence system has an architectural constraint the prior art lacked, such as where inference runs, what a component is separated from, or what a model is denied access to, put that constraint in an independent claim and describe the problem it solves in the specification, because the court will look at both. The decision is nonprecedential and binds no one, so use it as an illustration in an examiner interview rather than as authority in a brief, and watch the combined petition for rehearing and rehearing en banc that Amazon filed on August 24, 2026.
2026-07-14 Legislation

Patent Eligibility Restoration Act gets its first full-committee hearing, and stalls there

S. 1546 (119th Cong.); H.R. 3152 — Senate Judiciary Committee hearing, July 14, 2026

The Senate Judiciary Committee held its first full-committee hearing on the Patent Eligibility Restoration Act, the Tillis–Coons bill that would abolish the judge-made exceptions to 35 U.S.C. § 101 and replace them with five statutory exclusions, one of which covers processes that are substantially economic, financial, business, social, cultural, or artistic. The bill did not advance. Chairman Grassley described the hearing as fact-finding and said the committee had not reached consensus.

What it changesNothing to plan around yet. This is the fourth Congress to consider a § 101 rewrite without passing one, so applications filed today should still be drafted to survive Alice and Mayo rather than a hoped-for statute.
2026-07-07 Fed. Cir.

Deep learning claims held abstract where the network itself was off the shelf

Dental Monitoring SAS v. Align Technology, Inc., No. 2024-2270 (Fed. Cir. July 7, 2026) (nonprecedential); U.S. Pat. Nos. 11,049,248 and 10,755,409

The claims covered methods of using a deep learning device to analyze images of dental arches, to evaluate how an orthodontic aligner fit and to measure separation between teeth. Applying the two-step Alice test, the Federal Circuit held the claims were directed to collecting and analyzing information and supplied no inventive concept. The specification described the deep learning device as selectable from a list of well-known and available neural networks, and the court declined to treat the training methodology or the claimed accuracy gains as a technical improvement.

What it changesAccuracy and speed figures do not rescue a claim. What survives is a claimed technical mechanism — a specific architecture, a specific training-data construction, a specific way the model is integrated with the rest of the system — written into the specification before filing, not argued for the first time in a response.
2026-05-13 EU Policy

European Union delays its high-risk artificial intelligence obligations by sixteen months

Digital AI Omnibus — provisional political agreement 6 May 2026, confirmed by Member State representatives 13 May 2026, amending Regulation (EU) 2024/1689 (the Artificial Intelligence Act)

Obligations for stand-alone high-risk artificial intelligence systems listed in Annex III move from 2 August 2026 to 2 December 2027. Obligations for artificial intelligence embedded in regulated products under Annex I move from 2 August 2027 to 2 August 2028. The core transparency obligations under Article 50 still take effect on 2 August 2026, with a watermarking grace period for existing systems running to 2 December 2026. The Article 5 prohibitions were expanded, and the deadline for Member States to establish regulatory sandboxes moved to 2 August 2027.

What it changesThis is a compliance timetable rather than a patent rule, and it still moves filing dates. A client who was holding a European launch until the high-risk obligations landed now has sixteen more months of roadmap. Filings have to be on file covering what ships, so the launch date moving moves the filing plan with it.
2026-03-17 EPO

2026 EPO Guidelines add a dedicated treatment of artificial intelligence

Guidelines for Examination in the EPO (2026 edition), General Part 5 “The use of artificial intelligence”; E-III, 10.1; F-III, 3

The 2026 edition of the EPO Guidelines for Examination adds a new general section on the use of artificial intelligence and tightens the sufficiency-of-disclosure requirements for artificial intelligence inventions at F-III, 3. Applicants must disclose the mathematical methods and the training data in enough detail that a skilled person can reproduce the invention without undue burden, and must make the asserted technical effect credible on the face of the application.

What it changesThe European disclosure standard is now stricter than the United States written-description practice most applicants file to. For a family headed to both offices, the training-data description and the technical-effect showing have to be in the priority document, because neither can be added later without a new matter objection.
2026-02-24 Fed. Cir.

Applying a known machine learning technique to a new field is still abstract

Rensselaer Polytechnic Institute v. Amazon.com, Inc., No. 24-1725 (Fed. Cir. Feb. 24, 2026) (Dyk, J.); U.S. Pat. No. 7,177,798

The patent claimed a method of processing natural language input using case-based reasoning, a machine learning technique that resolves ambiguity by drawing on stored historical examples in a metadata database. The Federal Circuit affirmed ineligibility, holding that generic use of artificial intelligence without other parameters is abstract, and that a conventional application of case-based reasoning, even to a novel environment, does not become eligible because the environment is new. The specification's own description of the database elements as well known in the art was used against the patentee at step two.

What it changesBackground sections that concede prior-art status get quoted back at step two. Describe what is conventional at the level of generality the claims do not depend on, and reserve the detailed description for the parts of the system that are actually new.
2026-01-01 CNIPA

China raises the inventiveness bar for artificial intelligence patents

Amended Patent Examination Guidelines, China National Intellectual Property Administration Order No. 84, issued 10 November 2025, effective 1 January 2026

The amended guidelines state that changing only the application scenario or the target object of an existing artificial intelligence algorithm does not establish an inventive step. An applicant must show meaningful changes to model structure, parameters, training methods or technical effects. Disclosure requirements were tightened at the same time: a specification must describe the model architecture including modules, layers and connections, the training steps and key parameters, and the technical relationship between the input and the output data. Examiners may examine the description alongside the claims. The guidelines also permit rejection on public policy grounds where an invention involves unlawful collection or use of personal data, or algorithmic decision-making on discriminatory criteria.

What it changesChina has arrived at the Federal Circuit's central point from the opposite direction. Applying a known model to a new field is not enough in either country. For a family filed in the United States, Europe and China, the model architecture and the training description have to sit in the priority document, because none of the three offices will let that material be added afterwards.
2025-11-28 USPTO

USPTO rescinds the 2024 inventorship guidance and treats artificial intelligence as a tool only

Revised Inventorship Guidance for AI-Assisted Inventions, 90 Fed. Reg. 54636 (Nov. 28, 2025), rescinding 89 Fed. Reg. 10043 (Feb. 13, 2024)

The USPTO withdrew its February 2024 guidance on artificial-intelligence-assisted inventions and replaced it with guidance treating artificial intelligence systems as tools rather than as candidate joint inventors. The Office stated that the Pannu joint-inventorship factors apply only among natural persons and cannot be extended to an artificial intelligence system, and directed examiners to apply the ordinary inventorship standard without a separate pathway for applications involving artificial intelligence.

What it changesThaler v. Vidal still controls: every named inventor must be a natural person. The practical change is that inventorship questionnaires no longer need a separate significant-contribution analysis for the model itself; they need a record of which human made the conception decisions the claims rest on.
2025-09-26 PTAB

Appeals Review Panel finds machine learning claims eligible on efficiency-based technical improvements

Ex parte Desjardins, Appeals Review Panel decision (Sept. 26, 2025) (convened sua sponte by the Director)

The USPTO Director convened an Appeals Review Panel to review a Board rejection of machine learning method claims under § 101. The panel disagreed with the Board's step-two analysis and held that technological advantages of the claimed method, including reduced storage requirements and efficiency gains, amount to a practical application of the abstract idea where those advantages are reflected in the claim language itself.

What it changesThis is the single most useful citation available in prosecution right now for a machine learning claim carrying a resource-efficiency benefit. It works only if the efficiency is recited in the claim, not merely asserted in the specification or the response.
2025-08-04 USPTO

Director's memorandum narrows the mental-process rejection and imposes an evidence standard

Memorandum, “Reminders on Evaluating Subject Matter Eligibility of Claims under 35 U.S.C. 101” (Aug. 4, 2025), directed to Technology Centers 2100, 2600, and 3600

The Director issued a memorandum to the software and business-method art units reminding examiners that a process falls in the mental-process grouping only if a human could practically perform it, not merely if a human could theoretically perform some version of it, and that an eligibility rejection must be supported under the same preponderance-of-the-evidence standard as any other rejection.

What it changesCite the memorandum by name in the response and make the examiner carry the evidentiary burden. Where a claim recites a computation no person could practically perform — the data volume, the latency requirement, or the model size makes it impossible — say so on the record with the numbers from the specification.

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These summaries are general information about published decisions, agency guidance and legislation. They are not legal advice and do not create an attorney-client relationship. Items concerning offices outside the United States are reported for information only and are not counsel on the law of those countries. Whether any of this applies to a particular application depends on facts not described here.