USPTO’s Guidance on the Use of Artificial Intelligence

As Artificial Intelligence (AI) and large language models (LLMs) increasingly integrate into legal practices, the U.S. Patent and Trademark Office (USPTO) issued new guidance to assist patent attorneys and the public with its adoption, including the adoption of patent software and AI tools in assisting intellectual property attorneys with the patent drafting process, patent prosecution, and other areas of patent law.

USPTO’s Guidance on the Use of Artificial Intelligence

Below are some key takeaways from the USPTO’s guidance, the entirety of which can be found here

  1. The USPTO’s existing rules are sufficient to protect against any potential concerns with the use of generative AI tools in preparing patent drafts for filing at the USPTO.
  2. There is no prohibition against using AI in drafting documents, including patent applications, for submission to the USPTO and there is no general obligation to disclose when AI tools have been used. 
  3. The USPTO also provided some reminders of current obligations for practitioners using AI in patent application drafting, which are highlighted below.

Signatory and Review Requirements

When submitting documents to the USPTO, whether drafted with AI or not, all submissions must be signed and reviewed by the party responsible, ensuring the accuracy and verification of all information. Therefore, in its guidance, the USPTO emphasized that a signing party must still review the contents of any document filed before the USPTO for accuracy, and in the specific case of patent claims, that each claim has significant contribution by a human inventor. 

Duty of Disclosure Requirements

The USPTO also provided a reminder about the duty to disclose to the USPTO all information known to an individual to be material to patentability. Therefore, similar to all other patentability and duty of disclosure requirements, if the use of AI is material to patentability, the use of AI must be disclosed to the USPTO. With that said, there’s still no general obligation to disclose when AI tools have been used.

Inventorship Considerations

The USPTO recognized that AI can be used during the patent drafting process to draft or modify claims and claim language, and noted that such modifications could impact inventorship, as well as patentability. Therefore, although there is no general obligation to disclose when AI has been used, the USPTO provided the reminder that each named inventor must have significantly contributed to the claimed invention and practitioners should still continue to properly assess inventorship when using AI during the patent claim drafting process. 

Conclusion

The guidance provided by the U.S. Patent Office provides helpful information and considerations for the public on the use of AI for patent application drafting and prosecution. Here, at Solve Intelligence™, we are building the first AI-powered platform to assist with every aspect of the patenting process, including our Patent Copilot™, which assists with patent drafting, and future technology focused on patent filing, patent prosecution and office action analysis, patent portfolio strategy and management, and patent infringement analyses. At each stage, however, our Patent Copilot™ works with the patent professional and we have designed our products to keep patent professionals in the driving seat, thereby equipping legal professionals, law firms, companies, and inventors with the tools to help develop the full scope of protection for their inventions. We will continue to develop our products in view of these guidelines and any future guidance provided by patent offices around the world.

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

How Much of Your Patent Practice Should You Codify?

Both in-house teams and outside counsel can let a purpose-built platform carry the shared foundation for their patent work. They can then focus their limited time on the standards and judgment that set their work apart. AI has made this division of labor more valuable by raising the payoff for turning a practice into templates, instructions, and review criteria that run at scale. Let’s call that codification. The platform can encode a great deal of best practice out of the box, and a team can add its own custom templates and instructions on top. The real question is how much to add and how much to leave to the platform. There is no fixed formula because the right balance changes as the team’s practice, the law, and the technology evolve.

Key takeaways

• AI has raised the payoff for codifying patent practice. Codification now guides AI-assisted drafting and review directly, not just junior training.

• A purpose-built patent platform can encode a large body of best practice out of the box, so a team can begin with that foundation rather than write its own.

• Solve Intelligence maintains its shared foundation across more than 700 IP teams, keeping it current far more efficiently than any single team could alone.

• The strategic choice is how much of your own practice to codify on top; scarce expert time should go to the standards and judgment that differentiate your work.

• A named professional still signs off on every filing, so accountability for the result never shifts to the AI.

How Successful Patent Practitioners Are Putting AI to Work

The most effective patent practitioners are already using AI patent drafting to draft faster, catch claim inconsistencies earlier, and free up hours for the strategic work that actually wins allowances.

Key takeaways

  • AI patent drafting tools can reduce application drafting time by up to 80 percent, with Solve Intelligence customers consistently reporting 50 percent or greater efficiency gains across drafting and prosecution 
  • Roughly 9 out of 10 utility patent applications receive at least one office action rejection, so prosecution efficiency matters as much as drafting speed 
  • Solo attorneys use AI to match larger law firms on turnaround speed and client capacity
  • The strongest reported results come from iterative AI–attorney collaboration, with practitioners directing the process and owning the final work product

Adopting AI in Patent Work: A Practical Playbook for IP Teams

Solve Intelligence works with over 700+ patent teams as they bring AI into daily practice, and the same pattern shows up again and again: recognising that AI helps is easy, but building consistent, team-wide use is not. Adoption tends to stall for a handful of reasons, from informal early experiments to unclear decision making, and a promising trial can fade out without anyone establishing whether the tool or the rollout was at fault. This playbook lays out the process that gets a team from first experiment to settled habit, with the attorney's judgment in control at every step.

How AI Brings Patent Intelligence Into Every Decision

AI makes it practical to rerun patent intelligence as products and patent rights develop. For example, at concept stage, broad freedom-to-operate screening identifies the rights that merit attention. As the design matures, selected patents are escalated for feature-by-feature claim charts, while scheduled monitoring refreshes the analysis when claims are amended or an application proceeds to grant.

This contrasts with the traditional approach, in which landscapes, FTO reviews, and portfolio analyses were commissioned as separate projects at fixed stages. Each took substantial time to complete and was rarely repeated.