Artificial intelligence (AI) is now part of the ordinary innovation process in industry. Engineers use generative AI to propose design alternatives. Researchers use machine learning (ML) tools to identify patterns and optimize experiments. Product teams use AI-assisted coding and drafting tools to accelerate development. As these tools become more common, one question is becoming increasingly important for patent applicants: if AI helped create the invention, who is the inventor?
That question matters because inventorship is not a technicality. In the United States, improper inventorship can jeopardize patent rights, complicate ownership, and create avoidable disputes during due diligence, licensing, or litigation. In its new guidance, the United States Patent and Trademark Office (USPTO) has made clear that the rise of AI does not change a core rule of patent law: only natural persons can be inventors. As the USPTO recently explained, “[a] hallmark of U.S. law is that only natural persons can be properly named as inventors on patent applications.” The Office then grounded that principle in the Patent Act itself: “‘[I]nventor’ means the individual . . . who invented or discovered the subject matter of the invention.” 35 U.S.C. § 100(f). Citing Pfaff v. Wells Electronics, Inc., 525 U.S. 55, 60 (1988), the USPTO further noted that the “‘invention’ in the Patent Act unquestionably refers to the inventor’s conception.” “Revised inventorship guidance for AI-assisted inventions,” USPTO, November 26, 2025 (https://www.uspto.gov/subscription-center/2025/revised-inventorship-guidance-ai-assisted-inventions)
At the same time, the use of AI does not automatically prevent patent protection. The key issue is whether one or more human beings made a sufficient inventive contribution to the claimed subject matter. For companies and inventors, the practical takeaway is straightforward: AI-assisted inventions may still be patentable, but applicants should be prepared to identify, document, and support the human contribution to the invention.
AI assistance does not eliminate patent protection
Some businesses assume that if an AI system played a meaningful role in generating an idea, patent protection may be unavailable. That is too simplistic. The better view is that AI is a tool. The use of a sophisticated tool does not by itself disqualify patent protection. What matters is the role of the human inventor or inventors in arriving at the claimed invention.
This is where the law of inventorship becomes especially important. The U.S. Court of Appeals for the Federal Circuit has repeatedly centered the inventorship inquiry on conception, describing conception as “the touchstone of inventorship.” Burroughs Wellcome Co. v. Barr Labs., Inc., 40 F.3d 1223, 1228 (Fed. Cir. 1994). The court has defined conception as “the formation in the mind of the inventor, of a definite and permanent idea of the complete and operative invention.” Id. (quoting Hybritech Inc. v. Monoclonal Antibodies, Inc., 802 F.2d 1367, 1376 (Fed. Cir. 1986)). Conception is complete when “the inventor has a specific, settled idea, a particular solution to the problem at hand, not just a general goal or research plan.” Id.
In practice, this means the analysis should focus on the specific claims, not merely on the fact that AI was used somewhere in the development process. If a person conceived of the claimed invention, shaped the direction of the work, selected among AI-generated outputs, modified those outputs, or recognized and developed the inventive concept reflected in the claims, then the person is an inventor. By contrast, if a person merely entered prompts, accepted an AI output without meaningful contribution, and sought to claim that output, the inventorship position may be far more difficult to defend.
This claim-specific approach is consistent with longstanding patent principles. Inventorship turns on conception of the claimed invention. The growing use of AI does not eliminate that inquiry. It simply makes the factual record more important.
The real risk is not AI itself, but poor documentation
In many organizations, AI is being adopted faster than documentation practices are evolving. Inventors may use public or internal AI tools informally, without preserving a clear record of prompts, outputs, technical decisions, or follow-on experimentation. That creates risk.
When a patent application is prepared months after the relevant work occurred, it may be difficult to reconstruct who actually contributed to the claimed invention. Was the key concept generated by a human and refined with AI assistance? Did the AI output merely provide options that a human inventor then transformed into a patentable solution? Or did the team rely too heavily on machine-generated content without a clearly identifiable human inventive contribution?
Those questions are not academic. Because conception remains the “touchstone of inventorship,” applicants should be prepared to show that a natural person formed “a definite and permanent idea of the complete and operative invention,” not merely a generalized research objective. Id. (citing Hybritech Inc. v. Monoclonal Antibodies, Inc., 802 F.2d 1367, 1376 (Fed. Cir. 1986)). In an AI-assisted environment, that often means being able to identify the moment when a human moved from exploring possibilities to arriving at a specific, settled solution.
These issues may become especially significant in collaborative environments involving multiple employees, outside developers, and a mix of software tools. If the inventorship analysis is handled casually, applicants risk naming the wrong inventors or failing to create a defensible record.
For that reason, companies using AI in research and development should consider updating their invention disclosure procedures now, rather than waiting for a challenge later.
What patent applicants should be doing now
Businesses that want to preserve patent rights in AI-assisted innovation should consider several practical steps.
First, inventors should be asked to describe how AI was used in the inventive process. That does not require a philosophical essay. It means capturing concrete facts: what tool was used, what problem it was asked to address, what outputs it produced, and what human decisions followed. The goal is to distinguish AI assistance from human conception.
Second, invention disclosure forms should be updated to include AI-related questions. For example, disclosure forms can ask whether generative AI, ML models, automated design software, or code-generation tools contributed to the invention. They can also ask who selected, interpreted, modified, tested, or validated the results. This helps patent counsel assess inventorship early, before positions harden.
Third, patent counsel should interview inventors with particular attention to conception of the claimed subject matter. A useful question is not merely “Did you use AI?” but “Who formed the definite and permanent idea of the claimed invention?” That framing aligns the factual inquiry with the governing legal standard. It also helps separate genuine inventive contribution from mere tool usage, experimentation, or execution.
Fourth, organizations should consider internal policies for preserving records of AI-assisted development. In some settings, prompt histories, model outputs, lab notes, design iterations, and testing results may all help show that a human inventor contributed the inventive concept or materially shaped the final solution.
Finally, applicants should be cautious about overclaiming. If the most defensible inventive contribution lies in a specific implementation, technical improvement, or human-devised refinement, the claims and specification should reflect that reality. A narrower but supportable patent position is often better than a broader position that creates inventorship vulnerability.
A useful moment for internal training
For many companies, AI-related inventorship issues are not only a legal problem but also a process problem. Engineers, scientists, and business teams may not understand that casual use of AI tools can create downstream patent questions. Training can help.
Organizations should consider providing brief guidance to employees on when and how AI use should be documented for patent purposes. Inventors do not need to become experts in patent law, but they should understand that the origin of an idea matters and that accurate recordkeeping can protect the company’s rights. In particular, teams should understand that the law does not reward a mere “general goal or research plan.” Instead, inventorship depends on whether a natural person arrived at a “specific, settled idea” of the invention. Id. at 1228.
This is also an area where legal and innovation teams should coordinate. In-house counsel, outside patent counsel, and R&D leadership may all need to align on disclosure practices, invention harvesting, and application review.
Key Takeaway
The use of AI in the inventive process is not a bar to patent protection. But it does require greater care. As the USPTO has emphasized, that principle remains unchanged: only natural persons may be properly named as inventors, and the relevant inquiry is still the inventor’s conception of the invention.
For applicants, the best response is not hesitation, but discipline with better inventor interviews, better disclosure forms, better records, and better claim-focused analysis. As AI becomes a standard feature of innovation, patent applicants that adapt their patent procurement practices now will be better positioned to secure and defend valuable patent rights later.
For companies using AI in research and development, a disciplined approach to documenting human contribution, updating invention disclosure practices, and evaluating inventorship can help preserve patent rights and reduce downstream risk. Contact Conley Rose to discuss how your organization can strengthen its patent strategy for AI-assisted innovation.