AI Assistance vs. Inventorship: Ethical Guidelines for Patent Attorneys

AI is now a daily tool for many patent attorneys; from drafting assistance to prior art searches. But questions about inventorship and ethics persist. Courts and patent offices worldwide continue to grapple with whether AI can be considered an inventor, and the recent November 2025 USPTO guidance has brought fresh clarity to this evolving area.

This article explores where the line is drawn between AI as a tool and AI as an inventor, and how attorneys can use AI responsibly while meeting their professional obligations.

AI Assistance vs. Inventorship: Ethical Guidelines for Patent Attorneys

What’s the current legal position on AI inventorship?

Patent offices worldwide have consistently rejected AI systems as inventors. The USPTO, European Patent Office (EPO), and UK Intellectual Property Office have all determined that inventors must be natural persons.

The Thaler v. Vidal litigation (in which Dr. Stephen Thaler sought to name his DABUS AI system as an inventor) reinforced this position across multiple jurisdictions. The Federal Circuit held in 2022 that "only a natural person can be an inventor, so AI cannot be."

On November 28, 2025, the USPTO issued revised inventorship guidance that explicitly rescinds its February 2024 framework. The key changes include:

Withdrawal of the Pannu factors framework for AI-assisted inventions.The USPTO acknowledged that Pannu factors "only apply when determining whether multiple natural persons qualify as joint inventors."

Clarification that AI systems are tools, explicitly characterizing them as "instruments used by human inventors," analogous to "laboratory equipment, computer software, research databases, or any other tool that assists in the inventive process."

Affirmation that traditional conception standards apply to all inventions, regardless of whether AI was used in the inventive process.

While this guidance provides welcome clarity, grey areas remain around the boundaries of human contribution when AI plays a significant role in development.

What counts as AI assistance vs. inventorship?

The distinction between AI assistance and inventorship centers on conception; "the touchstone of inventorship" under Federal Circuit precedent. 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."

AI assistance includes:

  • Drafting support for patent applications and claims
  • Prior art searches and analysis
  • Figure generation and formatting
  • Proofreading and consistency checking
  • Research acceleration and document review

Inventorship requires:

  • Identifying novel concepts and inventive contributions
  • Possessing knowledge of all claim limitations
  • Having a definite and permanent idea of the complete invention

Consider a practical example: if an attorney uses AI to help draft claim language based on an inventor's disclosed concept, that's assistance. But if an AI system generates a novel solution to a technical problem that a human then simply recognizes as valuable, the human may not have conceived the invention and naming them as inventor could be improper.

The USPTO guidance reaffirms that merely reducing an AI-generated idea to practice does not establish inventorship. The human must contribute to conception itself.

What are the ethical duties of patent attorneys?

The revised guidance does not diminish practitioners' ethical obligations; if anything, it heightens them.

Duty of reasonable inquiry

Under 37 CFR 11.18, every document submitted to the USPTO constitutes a certification that factual contentions have evidentiary support after "an inquiry reasonable under the circumstances." For AI-assisted inventions, practitioners must affirmatively investigate how AI tools were used. Questions to ask clients include:

  • What specific problem did the human identify?
  • What prompts or inputs did they provide to the AI system?
  • How did they evaluate, modify, or build upon AI-generated outputs?
  • Did the human possess a definite and permanent idea before or after AI involvement?

Duty of candor and disclosure

Under 37 CFR 1.56, information that "raises a prima facie case of unpatentability due to improper inventorship" must be disclosed. If an attorney learns that a named inventor's contribution was actually made by an AI system, this information may be material and require disclosure even when it adversely affects the client's application.

Competence and confidentiality

Attorneys must understand the tools they use. This includes knowing how AI platforms handle data, whether inputs are used for training, and whether information may be transmitted to servers outside the United States (raising export control concerns). Client confidentiality obligations under 37 CFR 11.106 extend to AI tool selection and use.

Client communication

Under 37 CFR 11.104, practitioners must reasonably consult with clients about the means by which objectives are accomplished, including the use of AI tools in their matters.

Practical guidelines for responsible AI use

To use AI ethically in patent practice, consider these approaches:

  • Confirm inventorship with human judgement: Never rely solely on a client's assertion without probing their actual contribution to conception.
  • Use AI as an assistant, not an originator: AI should accelerate research and drafting, not replace the inventive process or professional analysis.
  • Document everything: Advise clients to contemporaneously record how human inventors conceived claimed inventions, providing evidentiary support for inventorship assertions.
  • Maintain transparency with clients: Discuss how AI tools are used and obtain appropriate consent.
  • Implement firm-wide policies: Establish guardrails for AI use, particularly for junior attorneys who may not fully appreciate the ethical boundaries.
  • Verify data handling practices: Before using any AI tool, understand its terms of use, privacy policies, and server locations.

Common misconceptions clarified

Myth: "If AI contributed, we must name it as an inventor."

False. AI cannot be named as an inventor under current law. The question is whether a natural person conceived the invention, not whether AI assisted in the process.

Myth: "Using AI automatically creates ethical conflicts."

False. The USPTO has confirmed there is no prohibition against using AI in drafting documents and no general obligation to disclose AI tool usage. Ethical use of AI is entirely consistent with professional standards when properly controlled and reviewed by attorneys.

Myth: "The Pannu factors apply to AI-assisted inventions."

No longer accurate. The November 2025 guidance explicitly withdrew this framework, clarifying that Pannu factors only apply when multiple natural persons are involved.

Final thoughts

AI will continue to transform patent practice, but inventorship remains a human responsibility. The USPTO's revised guidance confirms that AI systems are tools; valuable instruments that assist human inventors without claiming inventorship themselves.

Attorneys who adopt AI responsibly can gain significant efficiency without crossing ethical or legal boundaries. The key is maintaining human oversight, conducting proper inventorship inquiries, and ensuring compliance with disclosure obligations. Solutions like Solve Intelligence's Patent CopilotTM exemplify this approach, keeping patent professionals in the driver's seat while accelerating research and drafting workflows.

By treating AI as what it is (a powerful tool rather than a creative originator) practitioners can embrace innovation while upholding the professional standards that clients and the patent system require.

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

Page White Farrer Adopts Solve Intelligence for AI-Assisted Patent Drafting

Page White Farrer Adopts Solve Intelligence and Solve's AI Templates

Page White Farrer ("PWF"), a specialist intellectual property firm with a longstanding focus on technology-driven innovation, has selected Solve Intelligence to support patent application drafting following an extensive evaluation of available AI tools. The firm has initially deployed the platform within its technology-focused patent teams, supporting work across sectors such as AI, software, telecommunications, electronics, semiconductors and engineering. 

The firm's objective was not to automate legal judgement or replace attorney expertise, but to accelerate the preparation of high-quality first drafts of patent applications. By combining AI-assisted drafting with custom templates tailored to the firm's preferred drafting approaches, Solve Intelligence helps attorneys move from an initial claim set to a reviewable first draft more efficiently while maintaining consistency and technical accuracy. 

For this partnership, PWF's primary focus was on configuring the platform around the firm's own drafting conventions, client preferences and established best practices, ensuring that the technology supports the way its attorneys already work. 

The Honest Risks of Using AI in Patent Prosecution

AI is changing how patent prosecution gets done, and the upside is real. So are the downsides: hallucinated citations, confidentiality exposure, export-control pitfalls, and prosecution-history estoppel. This is an honest account of the risks of AI patent software in prosecution, and what actually reduces each one.

Key takeaways

  • Anyone presenting AI-assisted content to the USPTO must reasonably review it; relying on the tool's accuracy alone is not enough.
  • Courts have already sanctioned attorneys for AI-hallucinated citations, and similar risk applies to office-action responses and PTAB briefs.
  • The USPTO warns that AI tools on foreign servers can raise export-control, foreign-filing-license, and national-security problems.
  • Grounded citations, exposed reasoning, zero data retention, and attorney oversight are what materially reduce AI risk in patent prosecution.

Maiwald Chooses Solve Intelligence for Selected AI-Supported IP Workflows

Solve Intelligence is proud to share that Maiwald, one of Germany’s largest and most progressive intellectual property firms, works with Solve Intelligence on selected AI-supported workflows in its patent and legal practice groups. Following an evaluation period during which selected functionalities were assessed for approved internal use cases, Maiwald and Solve have formed an enterprise partnership for 2026.

The rollout reflects the same careful approach Maiwald brings to its client work. Solve enables customers in Europe to process data on servers located within Europe and holds recognized information-security certifications. In addition, Solve offers contractual commitments designed to protect confidential professional information in line with applicable statutory confidentiality obligations and professional conduct requirements. Against that background, any use of AI-supported tools took place only within approved governance structures and under applicable professional, contractual, confidentiality and data-protection requirements.

That balance of innovation and professional judgment is characteristic of Maiwald. The firm has spent decades setting a standard for IP work in Europe: rigorous prosecution, a formidable contentious practice, and interdisciplinary teams of patent attorneys and attorneys-at-law working side by side. The firm approached AI the same way, methodically, with a clear sense of where it adds leverage and where an experienced attorney’s judgment remains irreplaceable. 

PTAB Case Studies of AI Disclosure Requirements: Part II

This article is the second of a series of Patent Trial & Appeal Board (PTAB) case studies (see Part I), which aims to inform applicants’ approach to satisfying the written description and enablement requirements for patenting artificial intelligence (AI) and machine learning technologies.