OpenAI Levels Explosive Claim: Apple's Own Security Undermines Trade Secrets Case!
OpenAI is challenging Apple's trade secrets lawsuit, arguing that Apple's lax security practices and vague accusations weaken its claims. The AI company suggests Apple's legal action is a pretext to hinder competition and address its own talent retention issues, rather than genuine trade secret protection.
OpenAI has put forth a robust legal defense strategy in response to Apple’s trade secrets lawsuit, as revealed by its motion to dismiss and newly submitted exhibits. The core of OpenAI’s argument pivots away from whether former Apple employees working at OpenAI had accessed specific information. Instead, OpenAI contends that Apple’s own security protocols and employee offboarding procedures are fundamentally flawed, thereby undermining its assertion that the information in question qualifies as legally protected “trade secrets.”
Apple’s initial complaint, lodged in July, accused OpenAI of systematically conspiring to acquire confidential hardware information through former Apple engineers. More recently, Apple petitioned the court to accelerate discovery, citing an internal investigation that suggests additional former employees might have been involved in, or witnessed, the alleged misappropriation of trade secrets.
In its motion, OpenAI presents several points to challenge Apple’s claims. It argues that Apple permitted employees to utilize personal iCloud accounts for work-related activities and failed to adequately revoke access to these accounts once employees departed the company. To substantiate this, OpenAI furnished text message records. These records purportedly show that an Apple manager continued to be logged into the personal iCloud account of a defendant and former Apple engineer, Chang Liu, post his departure, in order to transfer files. Furthermore, the manager later sought Liu’s assistance with technical inquiries concerning ongoing Apple projects.
OpenAI also criticizes Apple for omitting crucial details regarding the ramifications of its “inexplicable information-management practices” from its original complaint. OpenAI highlights that Apple allegedly neglected to properly secure its systems upon employee departures, which, according to OpenAI, created confusion and facilitated unwanted access issues that Apple is now mislabeling as theft. While acknowledging that this defense might superficially resemble an argument of “the door was unlocked, so it wasn’t really stealing,” OpenAI clarifies that its intention is to bolster the argument that former Apple employees were merely attempting to aid their previous colleagues. This approach could also help establish that the information at stake might not truly constitute trade secrets if it was not safeguarded with the requisite rigor.
The AI company further asserts that Apple has failed to precisely identify the specific “trade secrets” or confidential components allegedly stolen. Apple’s complaint, OpenAI points out, refers to them merely as “generic categories of the product-development process—such as component manufacturing, product testing, vendor and supplier relationships, and distribution channels.”
OpenAI’s filing also posits a broader motive behind Apple’s lawsuit: to impede OpenAI’s innovation in AI-powered hardware, rather than to protect genuine trade secrets or focus on its own product development. The motion explicitly states, “OpenAI has no use, need or desire for Apple’s trade secrets.” It emphasizes that OpenAI is engaged in developing “something entirely new and different from anything at Apple.” The company acknowledges its keen interest in recruiting top-tier engineers, inventors, developers, and creators, many of whom have chosen to leave Apple for OpenAI, drawn by the innovative and stimulating work environment. The motion concludes by contending that “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.”