OpenAI Unveils Defense Strategy Against Apple’s Trade Secret Allegations

OpenAI has publicly revealed its legal defense strategy against Apple’s trade secrets lawsuit through a motion to dismiss, accompanied by newly filed exhibits. The artificial intelligence company’s approach deviates from directly refuting whether former Apple employees, now working at OpenAI, accessed specific confidential information. Instead, OpenAI contends that Apple’s own security protocols and employee offboarding procedures are insufficient, thereby weakening the claim that the information in question qualifies as legally protected "trade secrets."

The legal battle commenced in July when Apple filed its complaint, accusing OpenAI of orchestrating a deliberate scheme to obtain confidential hardware information from engineers who previously worked for Apple. The technology giant further intensified its legal efforts this week by asking the court to expedite discovery. Apple indicated that its ongoing internal investigation suggests that additional former employees might have been involved in, or witnessed, the alleged theft of these trade secrets. This request underscores Apple’s belief in the widespread nature of the purported misconduct and its urgency in gathering further evidence.

Central to OpenAI’s motion is the argument that Apple’s internal practices were lax, allowing vulnerabilities that undermine its current claims of trade secret theft. OpenAI asserts that Apple permitted its employees to use personal iCloud accounts for work-related activities. Crucially, the AI firm alleges that Apple failed to properly revoke access to these accounts and associated data after employees departed the company. This alleged failure forms a cornerstone of OpenAI’s defense, suggesting that Apple did not exercise reasonable measures to protect its proprietary information, a prerequisite for information to be legally recognized as a trade secret.

To bolster its arguments, OpenAI submitted specific evidence, including text message records. These records purportedly show that an Apple manager remained logged into the personal iCloud account of Chang Liu, a defendant in the lawsuit and a former Apple engineer, even after Liu had left the company. According to the exhibits, this manager used Liu’s account to transfer files and subsequently sought technical assistance from Liu regarding ongoing Apple projects. OpenAI highlights this exchange as proof that Apple’s information management practices were not only inconsistent but also created a scenario where former employees were inadvertently, or even actively, drawn into assisting with Apple’s technical needs post-departure. This evidence aims to reframe the narrative from one of intentional theft to one of poor internal controls and continued reliance on former employees.

OpenAI further accuses Apple of deliberately omitting the repercussions of its "inexplicable information-management practices" from its original complaint. The AI company argues that Apple’s failure to adequately secure its systems upon employee departure led to a state of "confusion and unwanted access issues." OpenAI asserts that Apple is now mischaracterizing these issues, which stemmed from its own organizational shortcomings, as acts of theft. This strategic move by OpenAI seeks to shift the focus from the actions of individual employees to the systemic failures within Apple’s own security framework.

While this defense might colloquially sound like arguing "the door was unlocked, so it wasn’t really stealing," its legal implications are significant. OpenAI intends for this argument to serve multiple purposes. Firstly, it aims to reinforce the notion that former Apple employees were merely attempting to assist their prior colleagues, rather than engaging in malicious theft. Secondly, and perhaps more critically in a legal context, it seeks to challenge the fundamental premise that the information in question genuinely qualifies as "trade secrets." In trade secret law, a company must demonstrate that it took reasonable measures to keep the information confidential. If Apple’s security practices were indeed as lax as OpenAI alleges, it could severely weaken Apple’s ability to prove that the information meets the legal definition of a trade secret.

Adding another layer to its defense, OpenAI contends that Apple has failed to specify precisely which "trade secrets" or confidential components were allegedly stolen. Instead, Apple’s complaint refers to these as "generic categories of the product-development process," encompassing broad areas such as component manufacturing, product testing, vendor and supplier relationships, and distribution channels. OpenAI argues that such broad descriptions are insufficient for a trade secret claim, which typically requires a more granular identification of the protected information to differentiate it from general industry knowledge or employee skill. This lack of specificity, in OpenAI’s view, further undermines the validity of Apple’s lawsuit.

Beyond the technicalities of trade secret law, OpenAI’s filing posits a broader strategic motivation behind Apple’s legal action. The motion suggests that Apple is leveraging this lawsuit not to protect genuine trade secrets, but rather to impede OpenAI’s innovation in the rapidly evolving field of AI-powered hardware. This framing presents the lawsuit as an anti-competitive tactic rather than a legitimate legal grievance.

OpenAI unequivocally states in its motion, "OpenAI has no use, need or desire for Apple’s trade secrets." The company emphasizes its distinct mission, arguing, "OpenAI is building something entirely new and different from anything at Apple." The motion then shifts to address the competitive talent landscape, asserting OpenAI’s legitimate interest in "hiring the best engineers, inventors, developers and creators." It highlights that many talented individuals have chosen to leave Apple and join OpenAI, attracted by the "innovative and exciting work the company is doing." OpenAI’s filing directly challenges Apple’s perceived resentment, stating, "Apple might not like that."

The motion concludes with a pointed accusation against Apple, suggesting that the lawsuit is a reactive measure stemming from its own corporate challenges. "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, and its failures to integrate AI into its products," the motion reads. This statement underscores OpenAI’s narrative that Apple’s legal action is a desperate attempt to compensate for its own perceived deficiencies in attracting and retaining top talent, and its slower adoption of AI technologies compared to its rivals.

About the Author:

Sarah Perez has been a reporter for TechCrunch since August 2011, joining the company after more than three years at ReadWriteWeb. Prior to her career in journalism, Sarah worked in I.T. across various industries, including banking, retail, and software. She can be contacted or her outreach verified by emailing [email protected] or via encrypted message at sarahperez.01 on Signal.