OpenAI Challenges Apple Trade Secrets Lawsuit With Dismissal Motion

OpenAI Disputes Apple’s Trade Secrets Claims

OpenAI filed a motion to dismiss Apple’s lawsuit on August 5, arguing that the company’s allegations of stolen trade secrets lack legal foundation. According to The Verge, OpenAI characterizes Apple’s case as built on mischaracterizations of both employee conduct and the confidential status of product information. The company contends that Apple has not demonstrated that the information at issue qualifies as trade secrets under applicable law, and that Apple failed to take reasonable precautions to maintain secrecy.

The dismissal request represents OpenAI’s formal legal response to Apple’s July complaint, which named former Apple employees now at OpenAI, including engineer Chang Liu, as defendants. OpenAI argues that what Apple characterizes as theft was in fact routine assistance between colleagues, stating that Chang Liu was simply responding to requests from ex-colleagues for help.

The Core Dispute Over Trade Secrets vs. Generic Information

OpenAI’s central argument hinges on a distinction between genuinely proprietary trade secrets and generic product development practices. According to The Verge, OpenAI claims that Apple has mischaracterized “generic” information as confidential material, and that Apple made insufficient effort to maintain secrecy around the documents in question. This legal framing is critical: under trade secret law, the owner must demonstrate both that the information is not generally known and that reasonable steps were taken to keep it confidential.

The motion echoes language from OpenAI’s public blog post published earlier in the week, in which the company labeled Apple’s case “careless, aggressive, and oddly personal.” In the formal filing, OpenAI escalates the rhetoric, calling the lawsuit “rotten to its core” and alleging that Apple’s investigation was poorly conducted and selective in its presentation of communications.

OpenAI’s Counter-Narrative on Talent Recruitment

OpenAI positions the hiring of former Apple employees not as corporate espionage but as legitimate competition for engineering talent. The company argues in its dismissal motion that it is “building something entirely new and different from anything at Apple,” and that former Apple staff chose to join OpenAI because of the innovative work on offer. This framing recast Apple’s employment losses as market-driven rather than the result of coordinated theft.

According to The Verge, OpenAI states: “Apple should not be permitted to use a baseless and pretextual lawsuit to make up for its shortcomings in the market for talent and retaining its employees.” The filing suggests that Apple’s frustration with losing talent to OpenAI—and Apple’s acknowledged delays in integrating AI into its products—may be the true motive behind the litigation.

What Happens Next

A federal judge is scheduled to hear oral arguments on OpenAI’s dismissal motion on October 1, 2026. Apple has also sought a preliminary injunction, filed on August 4, seeking to restrict OpenAI and the named employees from accessing, acquiring, using, or disclosing the alleged confidential information while the case proceeds. The preliminary injunction outcome could significantly constrain OpenAI’s operations if granted, even before the main case is resolved.

Why This Matters

The outcome of this motion will determine whether the lawsuit survives at the pleading stage or is dismissed before discovery begins. If OpenAI’s dismissal motion succeeds, the case ends without either side accessing the other’s evidence or depositions. If the motion fails, discovery could expose internal communications, document flows, and hiring practices at both companies—potentially setting a precedent for how courts evaluate trade secret claims in the AI talent war. The ruling will also clarify whether hiring former employees constitutes misappropriation when no explicit non-compete agreement is alleged. For other AI companies facing similar talent poaching and IP concerns, this decision will shape litigation risk calculation for the foreseeable future.