What changed

Two primary-source signals now point in the same operational direction for AI-assisted R&D.

First, the USPTO’s revised inventorship guidance for AI-assisted inventions rescinds the February 2024 guidance and reaffirms that the same human-inventorship standard applies even when AI systems were used. Second, in *Rensselaer Polytechnic Institute, CF Dynamic Advances LLC v. Amazon.com, Inc.*, the Federal Circuit held that applying case-based reasoning/AI to natural language processing was still abstract under *Alice*, and that generic or conventional database components did not supply an inventive concept.

For patent counsel, the combined lesson is not that AI gets a special patent rule. It is that AI-assisted invention files need two different records: one for human contribution, and one for the claimed technical implementation.

The hinge: do not collapse inventorship into eligibility

The inventorship question asks who, among the humans involved, conceived the claimed subject matter when AI systems were part of the work. The eligibility question asks whether the claim is directed to a specific technical implementation or computer-function improvement, rather than merely applying AI in a new field of use.

Those questions can overlap in the same project, but they should not be answered with the same generic statement. “The team used AI to develop the invention” does not identify the human conception story. “The invention uses AI for natural language processing” does not, by itself, establish a technical improvement under the Federal Circuit signal described above.

Intake control: require a human-contribution record

For invention disclosures involving AI-assisted work, intake should force a clear human-contribution narrative before names are carried into a filing workflow.

Useful review prompts include:

  • Was an AI system used to generate candidate solutions, claim concepts, design options, or implementation alternatives?
  • Which humans conceived the claimed subject matter, as opposed to merely reviewing an AI-generated output?
  • What did each proposed inventor contribute to the claimed features?
  • What evidence supports the conclusion that those humans, and not just the AI system, supplied the relevant conception?
  • Are there records showing how candidate AI outputs were evaluated, rejected, modified, or incorporated into the final invention disclosure?

The point is not to create an AI-only inventorship test. The USPTO signal is the opposite: the same human-inventorship standard applies even when AI systems were used. The practical change is that counsel should not wait until prosecution or a dispute to reconstruct who did what.

Claim-review control: route thin “AI for X” claims for eligibility review

The Federal Circuit opinion is a reminder that AI terminology does not eliminate ordinary *Alice* risk. The candidate excerpt describes claims involving case-based reasoning/AI applied to natural language processing as abstract, with generic or conventional database components insufficient to supply an inventive concept.

That should become a claim-review trigger. Route a disclosure for focused eligibility review before filing if the claimed advance is framed mainly as:

  • using AI for a known task;
  • applying AI or case-based reasoning to a new field of use;
  • adding generic database or data-storage components to an AI workflow; or
  • describing results without identifying a specific technical implementation.

Conversely, the review should ask whether the disclosure supports concrete implementation points, such as architecture, data-processing changes, latency, accuracy, security, or resource-use improvements. Those terms should not be treated as magic words. They are prompts for counsel and technical reviewers to test whether the claim story is about improved computer functionality or merely about using AI to perform an abstract task.

Prosecution-file discipline: create two short memos

A practical control is to split the internal patent file into two concise records.

The first is an inventorship note. It should identify the claimed subject matter under review, the humans credited with conception, the role of any AI system in producing candidate material, and the evidence counsel relied on when reaching the inventorship view.

The second is an eligibility and implementation note. It should identify the technical problem presented in the disclosure, the claimed implementation features, and why the claim is more than applying AI in a new use case or adding conventional database components.

Keeping these records separate helps prevent two common failure modes: treating AI-system use as a substitute for human inventorship evidence, or treating AI terminology as a substitute for a technical-improvement theory.

Practical filing gate

Before filing, patent teams should add two stop points.

If the disclosure indicates that an AI system generated candidate solutions, require counsel to identify which humans conceived the claimed subject matter and what evidence supports that conclusion.

If the disclosure says the advance is essentially “using AI for X” without architecture, data-processing, latency, accuracy, security, or resource-use support, route it for eligibility review before claims are finalized.

These are lightweight controls, but they create a better record at the moment when the facts are still available and the claims are still editable.