Patent artificial intelligence tools are no longer operating in a regulatory vacuum. Over the past two years, the United States Patent and Trademark Office has issued a series of rules and guidance documents. These updates clarify how artificial intelligence impacts patent inventorship, disclosure duties, and subject-matter eligibility. At the same time, the Office is actively deploying its own search and evaluation software.
For patent attorneys and in-house counsel, these regulatory changes do not mean you should avoid automation. Instead, they provide a clear roadmap for using these tools safely. Staying compliant in this environment is a matter of workflow design and smart procurement. Practitioners must ensure that a human inventor performs the actual conception work, keep detailed records of what the software touches, and know exactly when a disclosure duty is triggered.
This guide translates recent regulatory developments into concrete workflow choices. We evaluate how the current rules shape the daily use of specialized tools. We focus specifically on platforms like Solve Intelligence and PatentPal for application drafting, as well as IPRally for prior-art search. For a broader look at purchasing strategies, you can also consult our comprehensive Legal AI for IP & Patent Firms: A Buyer's Guide.
Who can be an inventor when AI helps draft or ideate
The question of who qualifies as an inventor when using software has undergone significant refinement. On February 13, 2024, the USPTO issued its initial inventorship guidance for AI-assisted inventions. That framework required practitioners to apply the multi-factor Pannu joint-inventorship test to determine if a human’s contribution was sufficient when software was heavily involved in the creative process.
On November 28, 2025, the USPTO published revised inventorship guidance in the Federal Register, which rescinded and replaced the February 2024 version. According to the Federal Register notice from November 28, 2025, the core legal standard remains firm: only natural persons can be named as inventors on a United States patent. The updated guidance treats generative software strictly as an instrument or a tool, comparable to a laboratory instrument or traditional drafting software. It cannot be credited as an inventor or co-inventor under any circumstances.
However, the revised framework simplifies how practitioners must analyze inventorship. The update drops the complex Pannu-factor analysis for any patent application that features a single human inventor. Instead, the USPTO now applies the traditional, uniform conception test to verify if the human perform the actual act of invention. The multi-factor Pannu analysis is now reserved exclusively for joint-inventorship disputes between multiple natural persons. Furthermore, the revised guidance extends this natural-person requirement to both design and plant patents. It also requires that any claim of priority or benefit include at least one common natural-person inventor.
For firms using drafting platforms like Solve Intelligence or PatentPal, this rule directly impacts daily drafting workflows. Both tools generate detailed specification text and figures from initial attorney inputs. To remain compliant, the human inventor's conception must precede or substantively direct the automated drafting process. Software should only serve as an administrative aid that translates the human's complete technical concept into formal prose. Firms must maintain reliable records, such as initial handwritten notes or dated invention disclosure forms, to prove the human conceived the core invention before any software was used to draft the application.
When AI use has to be disclosed to the USPTO
Firms must also navigate their duty of candor when submitting automated drafts. On April 11, 2024, the USPTO published its official guidance on the use of AI-based tools in patent practice. This guidance clarifies how existing professional responsibility and disclosure rules apply to modern software.
A key takeaway for practitioners is that there is no general or blanket duty to disclose the mere use of drafting software to the USPTO. Simply using an automated tool to write a patent application does not trigger an obligation to notify the Office. Instead, disclosure is governed strictly by the existing duty of materiality.
According to the April 2024 USPTO guidance overview by Greenberg Traurig, a practitioner must disclose software involvement only when it is material to the patentability of the invention. This threshold is met if a specific claim element is traceable directly to AI-generated content rather than human conception. If the human's role in conceiving a claimed element is so thin that it threatens the validity of the patent, that fact must be disclosed. Practitioners using automated drafting tools must closely review all generated claims to ensure every element has a genuine human source.
Additionally, the April 2024 guidance highlights client confidentiality and export control risks. When patent practitioners upload client data into third-party servers, they must maintain strict confidentiality. The USPTO specifically warned against using software tools that transmit client inventions to foreign-hosted servers. Doing so can violate export control regulations and foreign-filing license requirements.
This warning creates a critical due diligence question for buyers. When evaluating Solve Intelligence, PatentPal, or IPRally, firms should ask each vendor exactly where their servers are located and where the data is processed. Public marketing materials for these tools do not disclose these technical hosting details, making it a vital question for any direct sales conversation.
Eligibility: does AI-assisted drafting change what's patentable
The method used to develop an invention does not change whether that invention is eligible for a patent. To address this, the USPTO issued an eligibility update effective July 17, 2024, responding directly to Executive Order 14110.
As published in the Federal Register on July 17, 2024, the update confirms that using AI during development does not alter subject-matter eligibility. All patent applications are still evaluated under the traditional Alice and Mayo framework. To help examiners and patent attorneys apply this framework to software-heavy fields, the USPTO added three new worked examples, labeled Examples 47 through 49.
While this update is primarily examiner-facing, it dictates how drafting software must be configured. Automated drafting systems must not generate generic, abstract descriptions of software functions. To survive eligibility challenges under Section 101, the software must be directed to output highly concrete, physical, and technical implementations. The resulting specification must detail the underlying hardware architecture and specific data-flow steps rather than simply describing an abstract AI concept.
The USPTO is using AI too
Practitioners are not the only ones adopting these tools. The USPTO is rapidly integrating automated systems into its own examination workflows. The Office published its formal AI Strategy in January 2025, outlining its plans for technological adoption.
As part of this strategy, the USPTO conducted an automated search pilot program known as the Artificial Intelligence Search Automated Pilot, or ASAP. This pilot ran from October 20, 2025, through April 20, 2026, or until enrollment limits were reached. The ASAP pilot provided participating applicants with an automated prior-art search notice before their application underwent substantive examination by a human examiner.
In addition to search pilots, the USPTO announced an agentic AI-assisted evaluator to help determine patent eligibility under Section 101, as detailed in the USPTO subscription-center notice from early 2026. The Office also confirmed that examining attorneys are expected to receive access to an internal generative AI assistant in July 2026, following the completion of policy guardrails.
This internal rollout does not create a direct compliance obligation for applicants, but it raises the bar for pre-filing diligence. If examiners are using semantic tools and automated search programs to find prior art, traditional keyword searches are no longer sufficient.
Firms must use equally sophisticated search software to find relevant art before filing. This makes semantic, graph-based tools like IPRally highly valuable. Because IPRally represents inventions as knowledge graphs of technical relationships rather than lists of keywords, it closely mirrors the advanced search capabilities that examiners are deploying. You can compare how these search capabilities fit into overall firm tools by reading our evaluation of the Best Legal AI for IP & Patent Firms (2026).
What this means for firms evaluating patent AI tools
To maintain compliance and protect client interests under the latest USPTO guidelines, firms should adopt three operational practices:
- Prioritize tools with granular drafting controls: Look for systems that allow the attorney to choose exactly which portions of a document are automated. For example, Solve Intelligence offers highly granular controls that let the user manually write core claims while using the AI to draft standard specification descriptions. This helps keep a clean, defensible boundary between human conception and automated drafting. You can read more about these distinct workflows in our comparison of Solve Intelligence vs. PatentPal for Patent Drafting (2026).
- Establish a strict recordkeeping workflow: Do not rely on verbal agreements or loose notes. Implement an internal policy where the human inventor's signed disclosure form is dated and stored before any drafting software is launched. This provides a clear paper trail proving that the human conceived the invention independently of the tool.
- Conduct strict data-hosting audits: Since none of the primary patent AI vendors publish detailed server hosting locations on their websites, ask for this information in writing during sales negotiations. Ensure all data processing occurs within secure, domestic data centers to prevent export control violations and protect client confidentiality.
FAQ
Can an AI system be listed as a patent inventor?
No. The USPTO’s revised guidance published on November 28, 2025, reaffirms that only natural persons can be named as inventors. AI is legally classified as a tool or instrument, not a creator, regardless of how much it assisted in developing the invention.
Do I have to tell the USPTO if I used an AI tool to draft a patent application?
No, there is no blanket requirement to disclose the use of automated drafting software. Under the April 11, 2024 guidance, you must only disclose software use if it is material to patentability. This usually occurs if a claimed element was generated entirely by the software without human conception.
Does using an AI drafting tool change whether an AI-related invention is patentable?
No. The July 17, 2024 eligibility update confirms that the development method does not impact subject-matter eligibility under Section 101. Applications are still evaluated under the traditional Alice and Mayo framework, using standard technical eligibility guidelines.
Is the USPTO using AI to examine patent applications?
Yes. The USPTO ran its Artificial Intelligence Search Automated Pilot from October 2025 through April 2026 to provide automated prior-art notices. The Office also announced an agentic eligibility evaluator and expects to equip examiners with an internal generative AI tool in July 2026.
Should a firm avoid AI patent drafting or search tools because of these rules?
No, there is no regulatory basis for avoiding these tools. The USPTO's guidelines are designed to help firms use software safely and compliantly. The correct response is to implement strong human-in-the-loop controls and keep reliable internal records.
The bottom line
The USPTO's AI-specific rules are now mature enough for firms to build long-term operational strategies around them. These regulations are not designed to block technology, but rather to ensure that human inventorship and client confidentiality are protected. By ensuring that the human inventor drives the core conception, maintaining clear records of software use, and verifying where vendor data is hosted, firms can safely leverage tools like Solve Intelligence, PatentPal, and IPRally. As the Patent Office deploys its own automated systems through 2026, using professional-grade software is becoming a critical tool for matching the rising standard of examiner diligence.