Drafting patents with ChatGPT? Think twice. Publicly shared AI conversations are now being indexed by Google, instantly becoming prior art that can block your patent—and exposing proprietary R‑&‑D to the world.

Need help from an actual human professional? Book a free consultation with an experienced patent lawyer from Schell IP.

How Private AI Chats Became Google Search Results

Why “Publicly Viewable” = Prior Art

Under U.S. law (35 U.S.C. § 102(a)(1)), “printed publications” or “otherwise available to the public” before your filing date count as prior art—even if you never meant to publish them. 

If your inventive concept appears in a publicly indexable chat, the USPTO can reject your application for lack of novelty or obviousness.

Outside the U.S. the stakes are higher. Europe applies absolute novelty: any disclosure anywhere in the world, before your filing date, destroys novelty with no grace period. Article 54 (2) EPC expressly says “everything made available to the public … in any way” is prior art. 

Take‑home

One stray AI share link can wipe out global patent rights—permanently.

Table of Risks Using AI to Build Patent Applications: The Domino Effect on Patent Prosecution

RiskUnited States (AIA)Europe & Most of World
NoveltyOne year grace period only if the inventor made the disclosure. Any third ‘party repost kills novelty immediately.Absolute novelty no grace period.
ObviousnessExaminer may combine your chat with other references to reach 103 rejection.Similar problem solution analysis under EPO can cite your chat as closest prior art.
Enablement TestIf the conversation explains how to implement the idea, it likely enables the invention, satisfying prior art thresholds in both jurisdictions.Same.
Trade Secret LossPublic disclosure terminates trade‑secret protection instantly.Same.

Confidential Information Leakage

Even if your chat never becomes prior art, public links can expose:

Once searchable, that data is commercially unprotectable.

Six Best Practices to Stay Safe

  1. Draft offline. Use an air‑gapped word processor or a local LLM instance.
  2. If you must use a cloud LLM, disable link sharing and refuse any prompt asking to “Share conversation.”
  3. Scrub metadata: remove company names, inventor identities and enabling details before requesting generic writing help.
  4. File first, ask AI later. Prepare and file provisional applications before you refine text with an LLM.
  5. Use privileged channels. Enterprise LLM tiers that guarantee no data retention and no third‑party access reduce exposure.
  6. Educate your team. Treat “Share” links like publishing to X (Twitter): once out, it’s forever.

Action Checklist for Inventors & Counsel

Conclusion

Large language models are transformational drafting tools—but they’re also automatic publishing machines. The moment your inventive concept appears in a publicly indexed chat, it graduates from brilliant idea to weaponized prior art. Treat every AI prompt the same way you treat a press release: if you’re not ready for the world (and every patent office) to read it, don’t hit “Share.”

author avatar
Jeff Schell Patent Lawyer, Venture Capitalist
Jeff Schell is a leading Denver patent lawyer and Boulder patent lawyer, known for founding Rocky Mountain Patent and merging it with a top firm in 2018. As CEO of TranS1, he led the company to a successful exit and numerous awards. Schell also co-founded Proov, an award-winning women’s health brand. With expertise in patent law, technology, and entrepreneurship, he now leads Schell IP and Nova Launch Partners. Recognized as one of Colorado’s “Most Influential Young Professionals,” Schell is also a mentor for TechStars and Boomtown accelerators and President of TiE Denver.

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