The last several months have produced a striking run of intellectual property theft allegations across the AI industry. Apple has accused OpenAI of a coordinated effort to extract its confidential information, and in a parallel debate several U.S. labs have accused Chinese developers of distilling American models to train their own. The two stories are different but have similar takeaways: the most valuable assets in technology are increasingly mobile, and they are getting harder to keep inside the building when employees leave. The Apple case offers the clearest example.
On July 10, 2026, Apple sued OpenAI, io Products and two former Apple employees, Tang Tan and Chang Liu, alleging they misappropriated product designs, manufacturing processes and supply-chain strategies. Filed under the Defend Trade Secrets Act and breach of their intellectual property agreements in the Northern District of California, the complaint states that more than 400 former Apple employees now work at OpenAI. That number is the bigger story.
In California, organisations generally cannot use non-compete agreements to stop employees from joining rivals. Employees are free to leave, and the expertise, judgment, and institutional knowledge in their heads goes with them. Trade-secret law can stop employees from taking confidential files or using protected information, but it cannot prevent them from applying their general skills and experience elsewhere. As a result, Apple has faced a reactive remedy – proving after the fact through laptops, emails, downloads and circumstantial evidence, that specific information was taken or used improperly. This type of dispute can be hard to prove and quickly evolve into an expensive argument over what was stolen, what was remembered and what was independently developed.
The nature of the assets Apple claims to have been taken is important. Schematics, product designs, manufacturing processes, materials techniques and a specific metal-finishing process may all contain patentable inventions.
A patent does something trade secret cannot…it gives organisations an enforceable, exclusive right that does not depend on continued secrecy or proof that a competitor copied the invention. It covers the invention regardless of whether the other side arrived at it independently or if it was carried out the door in someone’s memory. The historical process for obtaining patents has been far slower than rapid product-development cycles (and very expensive). AI is changing that equation by helping companies identify patentable innovations earlier, run faster prior-art analysis and prepare applications more quickly.
For technology companies facing constant employee movement, the key takeaway is simple: protect the inventions that matter before the talent (and the knowledge) walks out the door. Yet, one of the biggest challenges in fully protecting innovations is getting the complete idea out of an engineer’s head. Advancing AI services and technologies are changing the equation:
- Quality: AI-powered invention extraction and drafting processes can help organisations produce stronger, more complete applications that capture more of the real technical contributions.
- Speed: As soon as an invention surfaces, the right application of AI can make it far less burdensome and faster to draft and file a high-quality application, creating a record of what is protected while the idea is still fresh rather than months later. The Patent Office also offers a fast lane. Under Track One prioritized examination, the USPTO targets a final disposition within roughly 12 months versus the two-to-four-year timeline with the regular docket.
- Cost: With AI comes efficiency. AI can streamline the predictable and repeatable aspects of the patent drafting process while enabling senior-level attorneys to guide it far more efficiently. Fixed-fee and project-based billing models are also commonplace.
Put all three of these capabilities together and an organisation can convert an emerging invention into a filed, examined, and granted right on a timeline that matters competitively.
This does not mean that patents can (or should) entirely replace trade secrets. Filing a patent does require public disclosure, which is a real price; some know-how is genuinely better kept quiet. For this specific issue, however, having an aggressive, fast, and well-documented patent strategy offers a far stronger front line than secrecy alone – and it helps protect the valuable designs and processes that leave with the people who built them. It creates a formal, defensible record of exactly what is protected. Add to that an educational effort on trade-secret law and better internal documentation to ensure both employees and employers understand their obligations, and you create a system that protects innovation without depending on restraints at the exit door that the law will not enforce.
