USPTO Memo: Reminders for AI & Software Inventions

On August 4, 2025, the USPTO issued a memorandum to software-related art units about subject matter eligibility for AI and computer-implemented claims under 35 U.S.C. § 101. The memo emphasizes that it "is not intended to announce any new USPTO practice or procedure and is meant to be consistent with existing USPTO guidance".

This memo builds on and refers to previous July 2024 AI guidance. That guidance provided new examples and analytical frameworks for examining AI inventions. This memo attempts to ensure those frameworks are consistently applied across art units.

The memo addresses four areas where examiners often lack consistency when applying the Alice/Mayo steps: mental process analysis, distinguishing claims that recite versus involve judicial exceptions, analyzing claims as a whole, and determining when rejections are appropriate. 

USPTO Memo: Reminders for AI & Software Inventions

Key Reminders from the Memo

Mental Process Limitations

For Step 2A Prong One, the memo reminds examiners that courts consider a mental process as one that "can be performed in the human mind, or by a human using a pen and paper." But examiners are warned not to expand this grouping to cover limitations that cannot practically be performed in the human mind.

"claim limitations that encompass AI in a way that cannot be practically performed in the human mind do not fall within this grouping"

The memo specifically states that "claim limitations that encompass AI in a way that cannot be practically performed in the human mind do not fall within this grouping," perhaps attempting to address a tendency to broadly apply the mental process category to AI-related claims.

"Recites" vs. "Involves"

The memo notes that “examiners should be careful to distinguish claims that recite an exception (which require further eligibility analysis) from claims that merely involve an exception (which are eligible and do not require further eligibility analysis)”.

The memo uses Examples 39 and 47 to illustrate this difference:

  • Example 39's limitation "training the neural network in a first stage using the first training set" does not recite a judicial exception. Even though training involves mathematical concepts, the limitation doesn't "set forth or describe any mathematical relationships, calculations, formulas, or equations using words or mathematical symbols."
  • Example 47's limitation requiring "backpropagation algorithm and a gradient descent algorithm" recites a judicial exception because it "requires specific mathematical calculations by referring to the mathematical calculations by name."

Evaluating Claims as a Whole

At Step 2A Prong Two, examiners evaluate whether claims integrate judicial exceptions into practical applications. The memo emphasizes that additional limitations should not be evaluated "in a vacuum, completely separate from the recited judicial exception."

Instead, the analysis should consider "all the claim limitations and how these limitations interact and impact each other when evaluating whether the exception is integrated into a practical application." 

Improvements Consideration

Examiners can find claims eligible at Step 2A Prong Two if they "reflect an improvement to the functioning of a computer or to another technology or technical field." The memo reminds examiners to consider “the extent to which the claim covers a particular solution to a problem or a particular way to achieve a desired outcome, as opposed to merely claiming the idea of a solution or outcome”.  

"the specification does not need to explicitly set forth the improvement, but it must describe the invention such that the improvement would be apparent to one of ordinary skill in the art."

The memo also reminds examiners to consult the specification to determine whether the invention includes an improvement, but importantly, "the specification does not need to explicitly set forth the improvement, but it must describe the invention such that the improvement would be apparent to one of ordinary skill in the art."

"Apply It" Consideration

The "apply it" consideration evaluates whether additional claim elements do more than simply instruct someone to implement an abstract idea on generic technology. The memo notes this consideration often overlaps with the improvement analysis.

The memo reminds examiners not to "oversimplify claim limitations and expand the application of the 'apply it' consideration". Claims that improve computer capabilities or existing technology may integrate a judicial exception into a practical application, whereas claims that merely use computers as tools to perform existing processes typically fail this test.

When to Make Rejections

"examiners should only make a rejection when it is more likely than not (i.e., more than 50%) that the claim is ineligible."

For close calls, the standard remains preponderance of the evidence, and examiners "should only make a rejection when it is more likely than not (i.e., more than 50%) that the claim is ineligible." The memo states that "a rejection of a claim should not be made simply because an examiner is uncertain as to the claim's eligibility."

Takeaways

The memo reiterates existing USPTO guidance, in the hope of ensuring a consistent approach to assessing subject matter eligibility under 35 U.S.C. § 101 across art units. Whether it does that remains to be seen, but the memo may at least provide practitioners with clarity as to how the law should be applied by Examiners, particularly in relation to AI-related inventions.

At Solve Intelligence, we track developments in patent law to build better AI-powered tools for patent prosecution. Our Patent Prosecution Copilot™ can help practitioners navigate complex eligibility issues when responding to rejections under 35 U.S.C. § 101.

AI for patents.

Be 50%+ more productive. Join thousands of legal professionals around the World using Solve’s Patent Copilot™ for drafting, prosecution, invention harvesting, and more.

Related articles

Marbury Law sees 3x-4x efficiency gain from using Solve Intelligence

Key Insights

  • AI adoption requires proof. Bob and his team tested multiple tools before committing, and only moved forward once they saw quantifiable results.
  • 3 to 4x efficiency gains changed the business case. By tracking his own drafting time, Bob demonstrated that AI-enabled workflows made fixed-fee work viable at partner rates.
  • Demonstration drives adoption. Live drafting sessions, client transparency, and side-by-side cost comparisons created full buy-in from both clients and colleagues.
  • Integrated chat removes friction. Keeping research, drafting, and revisions inside one contextual workspace eliminated copy-paste workflows and saved significant time.
  • Context is a force multiplier. AI performs best when it understands the full invention disclosure, file history, and drafting materials in one place.
  • Speed expands strategic value. Faster drafting didn’t just save time - it enabled better coverage, stronger enablement, and real-time responsiveness to client needs.

About Marbury Law

The Marbury Law Group is a premier mid-size, full-service intellectual property and technology law firm in the Washington, D.C. area, with additional strength in commercial law, litigation, and trademark litigation. Recognized by Juristat as a top 35 law firm nationwide and holding Martindale-Hubbell’s AV® Preeminent™ Peer Review Rating, Marbury serves clients ranging from Fortune 500 companies and mid-size technology businesses to high-tech startups and inventors. Its practitioners bring unusually wide-ranging experience, including former technology executives, government R&D managers, startup founders, in-house counsel, “big-law” attorneys, USPTO patent examiners, and judicial clerks. 

Marbury delivers “big-law” service with the flexibility and personal attention of a smaller firm, pairing high-quality work with efficient, budget-aware billing. Based near the USPTO, the firm has drafted and prosecuted thousands of U.S. and foreign patent applications and trademarks, and advises on IP strategy, diligence, and licensing. Formed in 2009 through the merger of two established practices (with roots dating back to 1994), the firm takes its name from Marbury v. Madison (1803), the landmark Supreme Court case that established judicial review.

Introduction

When we sat down with Bob Hansen for this conversation, we knew it would be grounded in both legal depth and real-world business experience. Bob is a founding partner of The Marbury Law Group and has extensive experience across patent prosecution, litigation, licensing, portfolio strategy, and complex IP transactions. But what makes his perspective particularly compelling is that he also brings 20 years of real-world experience as an engineer, program manager, and business executive in Fortune 50 companies and start-ups. He understands firsthand how innovation moves from idea to product, and how intellectual property law fits into that journey.

That dual lens is exactly why we wanted to have this discussion. Bob evaluates technology not just as a patent attorney, but as someone who has managed engineering teams, navigated acquisitions and divestitures, raised capital, and built businesses. When someone with that background says AI has been transformative and backs it up with measurable 3 to 4x efficiency gains, it’s worth listening.

Introducing Solve Review: A Practical Guide to AI-Powered Patent Review

Patent drafting doesn’t end when the first draft is complete. In many ways, the most important work begins at review.

Jurisdictional compliance, internal style alignment, claim clarity, sufficiency of disclosure, and formal requirements. Each aspect of drafting applications must be carefully checked before filing. Yet a thorough review is time-intensive, difficult to standardize, and hard to scale across teams and large portfolios, especially when up against a tight deadline.

Enter Solve Review

With Solve Review, practitioners can run structured, customizable AI-powered reviews in minutes rather than hours, while maintaining transparency, collaboration, and full control over the output. 

Teams using Solve Review report dramatically, with multi-pass manual reviews that previously took three to four hours completing in a fraction of the time

Key benefits

  • AI-powered patent reviews in minutes
  • Each review is fully customizable
  • Save your reviews as templates, run multiple reviews per application
  • Full transparency of working out and results
  • Resolve issues detected by Solve Review with AI

Potter Clarkson Enhances Patent Practice with Solve Intelligence

Solve Intelligence is deployed at Potter Clarkson as a practitioner-led platform, designed to enhance - not replace - the expertise of experienced patent attorneys. The firm uses the technology primarily at a senior level, where skilled practitioners are able to prompt and interrogate the system effectively to guide high-quality outputs.

By combining advanced AI capability with deep technical and legal experience, the platform enables senior attorneys to work more efficiently while focusing their time and judgement on strategic advice, complex analysis and client value. This reflects the firm’s long-standing philosophy that technology should strengthen the role of the practitioner, not substitute professional expertise.

“At Potter Clarkson, our priority is delivering technically rigorous and strategically sound advice to our clients. We use Solve Intelligence as a tool in the hands of experienced patent attorneys - professionals who understand how to guide, challenge and refine AI-generated outputs. It allows our senior teams to concentrate on the aspects of drafting and prosecution where their judgement adds the greatest value, while maintaining full control over quality and client strategy.”

Peter Finnie, Partner, Potter Clarkson

Since rolling out Solve Intelligence’s Patent Copilot, the firm has tailored the platform to reflect its established house styles and drafting standards. This customisation reduces administrative burden and supports consistency across teams, enabling practitioners to engage with AI efficiently without compromising on quality, client-specific requirements, or the firm’s distinctive approach.

Peter Finnie to join Solve's Customer Advisory Board

We are excited to welcome Peter Finnie, Partner at Potter Clarkson, to Solve Intelligence’s Customer Advisory Board.