OpenAI Alleges Former Employee Leaked Unreleased Device Data to Apple
A new filing in federal court accuses a former OpenAI worker of transferring more than 100 proprietary files and presenting unreleased product plans to Apple leadership.
A legal dispute between two of Silicon Valley's most prominent technology companies has escalated following new allegations of intellectual property theft. In a court filing submitted to the US federal court in San Jose, California, OpenAI alleged that a former employee who departed for Apple took more than 100 confidential files detailing an unreleased product. The filing claims that the individual sent these proprietary materials to a personal account and subsequently delivered a presentation on the unreleased device to senior Apple leadership.
According to OpenAI, this presentation occurred months ago, leading the ChatGPT maker to argue that Apple is now utilizing this knowledge to build competing artificial intelligence hardware. In its filing, OpenAI pointed directly to Apple's release of its HomeView product this week as evidence of hardware development in this domain.
Mounting tensions over proprietary hardware
The court filing highlights OpenAI's growing concern that proprietary research has compromised its competitive advantage in hardware development. "OpenAI is very concerned that its trade secret and confidential information is now circulating inside Apple , where Apple engineers can shape Apple’s upcoming products based on OpenAI’s confidential and innovative work," the company stated in the legal document.
OpenAI indicated that it is considering filing a formal countersuit based on these new findings. The emergence of the allegation also disrupted court proceedings, causing a delay in a scheduled Wednesday hearing where both parties were set to face off.
In response, Apple maintained that it enforces strict internal safeguards to prevent incoming personnel from using proprietary data from former workplaces. The company stated that it maintains policies and procedures designed to stop new hires from leveraging confidential information and noted that an internal review has revealed no evidence supporting the claims made by OpenAI.
The origin of the trade secret litigation
Tuesday's filing is the latest development in a broader legal conflict initiated earlier this year when Apple first filed a trade secrets lawsuit against OpenAI. In that original complaint, Apple accused several of its former personnel of taking confidential information with them when transitioning to OpenAI’s dedicated hardware division. OpenAI has denied Apple's initial claims.
Earlier this week, US District Court Judge Edward Davila ruled on procedural motions in the suit, granting Apple partial early access to digital records held by OpenAI. Judge Davila authorized Apple to retrieve data from devices used by certain former staff members and permitted the deposition of three individuals on an accelerated schedule.
Among those subject to early depositions are the two named defendants in the litigation: Chang Liu, previously a senior system electrical engineer at Apple, and Tang Yew Tan, who previously served as Apple's vice-president of product design for iPhone and Apple Watch. Despite the swift pace of recent procedural rulings, the dispute is not expected to conclude quickly. The case is currently projected to proceed to trial in October 2027, although OpenAI has stated in legal filings that it could be prepared for trial as early as June 2027.
What it means for developers
The ongoing legal confrontation between Apple and OpenAI underscores the intense rivalry surrounding AI hardware and proprietary ecosystems. For software engineers and teams building AI-powered applications, hardware developments such as Apple's HomeView and OpenAI's unannounced devices signal that the next frontier of AI will rely heavily on consumer endpoints and specialized hardware integrations.
As major tech firms contest ownership of device architectures and system-level trade secrets, developers face potential ecosystem fragmentation. Building applications that depend strictly on a single provider's hardware or proprietary model stack can create platform risk, particularly when corporate conflicts influence product roadmaps or lead to drawn-out litigation spanning several years.
To navigate an evolving landscape, many teams choose to keep their underlying software flexible rather than tethering their architecture to a single provider. Through platforms like Apixo, developers can access top AI models, including Claude, GPT, Gemini, Grok, and DeepSeek, through a single API key with pay-per-token pricing. Adopting multi-model integration strategies allows engineering teams to focus on application logic and deployment flexibility while major platforms navigate complex intellectual property disputes in court.
Source: OpenAI accuses employee who left for Apple of leaking plans for unreleased device — The Guardian AI. Written by the Apixo team from that report.
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