Apple Slams OpenAI Defenses in Latest Trade Secrets Lawsuit Filing
- Apple has intensified its legal battle with OpenAI in a 32-page court filing, according to reporting by Computerworld.
- According to the 32-page court filing cited by Computerworld, Apple legal argued that Defendants’ arguments about the individual defendants ignore the legal standard on a motion to dismiss.
- The underlying lawsuit began when Apple accused OpenAI of orchestrating a targeted scheme to extract confidential product information through former Apple employees seeking jobs at the generative AI...
Apple Fires Back in 32-Page Court Filing
Apple has intensified its legal battle with OpenAI in a 32-page court filing, according to reporting by Computerworld. The filing responds directly to OpenAI’s recent motion to dismiss, which claimed Apple failed to define protectable trade secrets and blamed the iPhone maker for making its proprietary data too accessible. Apple’s legal team dismissed these counterarguments as premature disputes meant for trial, accusing OpenAI of relying on attorney argument and extrinsic evidence rather than addressing the core legal standard for a motion to dismiss.
According to the 32-page court filing cited by Computerworld, Apple legal argued that Defendants’ arguments about the individual defendants ignore the legal standard on a motion to dismiss.
The filing adds that Again and again, Defendants rely on attorney argument or extrinsic evidence, hypothesize about implausible explanations for a Defendant’s ‘innocent’ misconduct, and ask the Court to draw inferences in their own favor.
Apple maintains that as long as it has alleged enough facts to establish a plausible claim to relief, OpenAI’s disagreement on the merits remains irrelevant at this stage of the litigation.
Targeted Exfiltration and the Core Allegations
The underlying lawsuit began when Apple accused OpenAI of orchestrating a targeted scheme to extract confidential product information through former Apple employees seeking jobs at the generative AI firm. Apple’s initial complaint detailed specific exfiltration patterns and named particular individuals, including Chang Liu and OpenAI hardware chief Tan Yew Tan. Additionally, Apple issued preservation letters requiring roughly 40 OpenAI employees to retain relevant documents and communications.
OpenAI Claims Fault in Apple’s Internal Security
OpenAI responded by arguing that Apple never clearly defined its protectable trade secrets. The artificial intelligence company also suggested that Apple shares the blame for any data leaks because internal security made access too easy. Responding to that defense, Apple pointed out that OpenAI’s argument regarding restricted access falls short of addressing ongoing usage. According to the court filing, As for Defendants’ argument that, ‘the access it complains of was identified and shut off by Apple before it filed suit,’ that does not address OpenAI’s continued use of the materials Defendants took, nor does it address other ways Open AI seeks to misappropriate Apple’s trade secrets….
Upcoming Discovery and Expected Trial Evidence
Apple’s legal team signaled that further proof will surface as the lawsuit moves forward. According to reporting from Computerworld, Apple expects to uncover additional evidence during the discovery process that will be presented when the case reaches trial. Furthermore, Apple argued that OpenAI’s own denials inadvertently support the validity of the claims. The filing notes that In any case, the value of Apple’s trade secrets can be plausibly inferred from the lengths to which Defendants have gone to acquire them.

Protecting Proprietary Process Technology
Apple also declined to publish specific details of its proprietary process technology within the public court record, asserting that public disclosure would effectively destroy the secrecy of the information itself. As the legal maneuvering continues, the dispute highlights rising tensions between major technology competitors over the recruitment of engineering talent and the protection of foundational artificial intelligence hardware and software developments.
