OpenAI has directly refuted Apple’s accusations of trade secret theft, asserting in a federal court filing that Apple has failed to present any concrete evidence of confidential information being unlawfully acquired by its former employees. The artificial intelligence giant contends that the ongoing legal battle is a self-inflicted predicament by Apple, stemming from the tech behemoth’s own internal practices and policies regarding employee offboarding and data management.
This dramatic counter-argument was laid out in a new filing submitted to the U.S. District Court in San Jose, California, and represents OpenAI’s latest salvo in a legal dispute that has escalated significantly since Apple initiated its lawsuit in July. The filing directly addresses new forensic evidence presented by Apple, which targets former Apple employees Chang Liu and Tang Tan. Apple alleges these individuals misappropriated trade secrets pertinent to hardware design, manufacturing processes, and intricate supply chain operations after their departures from the Cupertino-based company.
A Deepening Legal Entanglement
The crux of OpenAI’s defense lies in its assertion that Apple is attempting to stifle competition and deter future employee attrition by weaponizing its legal system. OpenAI highlights that it has actively recruited approximately 400 former Apple employees for its ambitious hardware development projects. The company’s legal team argues that California’s employment laws generally permit employees to move freely between competing firms. Instead of directly refuting Apple’s forensic evidence point-by-point, OpenAI seeks to shift the focus to Apple’s own internal shortcomings, suggesting these are the root cause of the perceived issues.
Questioning Apple’s Data Management Practices
A significant portion of OpenAI’s defense hinges on its portrayal of Apple’s internal policies as problematic and potentially contributing to the very issues Apple is now litigating. OpenAI alleges that Apple has a practice of encouraging its staff to utilize personal iCloud accounts for work-related activities. This, OpenAI argues, can blur the lines between personal and company data, making it difficult to delineate what belongs to whom once an employee transitions out of the company.
Furthermore, OpenAI points to Apple’s stringent offboarding procedures, which often involve immediately escorting departing employees off company premises. This practice, according to OpenAI, leaves insufficient time for employees to properly return company devices or internal files. By framing the situation this way, OpenAI aims to characterize the allegations not as deliberate acts of theft, but as an unfortunate consequence of a flawed and rushed offboarding process that Apple itself has implemented.
The Defense of Former Employees
OpenAI’s filing provides specific defenses for the two former Apple employees at the center of the lawsuit. Regarding Chang Liu, OpenAI asserts that his continued access to Apple documents was solely to assist former colleagues with locating files or answering queries, and that Apple employees themselves repeatedly reached out to him for support. This suggests a scenario where Liu was acting as a helpful resource rather than an active perpetrator of data theft.
For Tang Tan, OpenAI claims that he returned all Apple prototypes before his departure and retained only non-confidential materials, including a standard departure checklist. This defense attempts to paint Tan as an employee who acted in good faith and adhered to company protocols upon leaving.
A Narrative of Employee Mobility and AI Advancement
OpenAI frames the entire dispute as a case of employees seeking out more dynamic and innovative environments. The company posits that these individuals chose to leave Apple, which they perceive as being slow to adopt artificial intelligence technologies, in favor of joining a faster-moving competitor like OpenAI. This narrative seeks to legitimize the departures and portray them as a natural consequence of career progression and industry evolution, rather than any form of misconduct.
OpenAI’s core argument is that Apple should not be permitted to leverage its own internal operational deficiencies or slow pace of technological adoption as a basis for labeling employee departures as unlawful. The company suggests that Apple’s lawsuit is an attempt to use its legal might to penalize employees for seeking opportunities elsewhere, particularly in a rapidly evolving field like artificial intelligence.
Timeline of the Legal Confrontation
The legal entanglement between Apple and OpenAI has unfolded over the past few months, marked by escalating actions and public statements.
-
July 10, 2026: Apple officially files a lawsuit against OpenAI, accusing the AI company and two former Apple employees, Chang Liu and Tang Tan, of stealing trade secrets related to hardware design, manufacturing, and supply chain operations. The lawsuit seeks to prevent OpenAI and the former employees from using or disclosing this alleged stolen information.
-
August 3, 2026: Reports emerge detailing how Apple’s own iCloud file-sharing practices may have inadvertently left ex-employees with access to confidential documents, raising questions about the company’s data security protocols. This information, originating from The Information, suggests a potential systemic issue within Apple’s data management.
-
August 4, 2026: OpenAI issues a public rebuttal to Apple’s trade secrets lawsuit. The AI company provides internal messages and legal correspondence to support its defense, challenging Apple’s claims and highlighting potential flaws in Apple’s arguments.
-
August 6, 2026: OpenAI formally asks a federal judge to dismiss Apple’s lawsuit, labeling the allegations as "meritless." In its filing, OpenAI’s legal team defends the actions of its employees, particularly Chief Hardware Officer Tang Yew Tan, who previously spent 24 years at Apple.
-
August 31, 2026: Apple submits new forensic evidence to the U.S. District Court in San Jose, California, in support of its trade secret theft allegations against former employees Chang Liu and Tang Tan. This filing appears to have triggered OpenAI’s latest counter-argument.
-
September 1, 2026: OpenAI files its latest response, accusing Apple of creating a "mess of its own making" and denying that any confidential information was stolen. The company points to Apple’s internal practices, such as the use of personal iCloud accounts and its offboarding procedures, as contributing factors to the dispute.
Supporting Data and Context
The legal battle between Apple and OpenAI is set against a backdrop of intense competition and rapid innovation in the artificial intelligence sector. Companies are vying for top talent, particularly those with expertise in hardware design and AI development. The prevalence of former employees moving between major tech firms is a well-documented phenomenon, driven by the desire for new challenges, better compensation, and a more innovative work environment.
OpenAI’s assertion that it has hired around 400 former Apple employees is a significant number, underscoring the desirability of its projects and potentially its recruitment strategies. This influx of talent, particularly from a company with Apple’s deep expertise in hardware, could represent a strategic advantage for OpenAI as it expands its hardware initiatives.
The legal arguments also touch upon broader concerns about employee data privacy and corporate intellectual property protection in the digital age. The way companies manage data, secure intellectual property, and handle employee departures are critical issues that have significant legal and operational implications. Apple’s own internal practices, as highlighted by OpenAI, could serve as a cautionary tale for other organizations navigating similar challenges.
Broader Implications and Future Outlook
This dispute has far-reaching implications for both Apple and OpenAI, as well as the broader tech industry. For Apple, a loss in this case could set a precedent that makes it more difficult to protect its trade secrets and could embolden employees to move to competitors. It could also force Apple to re-evaluate its internal data management and offboarding policies.
For OpenAI, a successful defense could solidify its position as a major player in the AI hardware space and reinforce its appeal to top talent. It could also signal a shift in the power dynamic between large corporations and their employees, particularly in emerging technological fields.
The case also raises important questions about the balance between protecting proprietary information and fostering innovation through employee mobility. As AI continues to evolve at an unprecedented pace, the competition for talent and intellectual property will only intensify. The outcome of this legal battle could shape how these issues are addressed in the future.
Judge Edward J. Davila is scheduled to preside over arguments in this case on October 1, where both sides will have the opportunity to present their arguments in greater detail. The court’s decision will be closely watched for its impact on trade secret law, employee mobility, and the competitive landscape of the technology industry. The narrative that emerges from this legal confrontation could significantly influence how companies approach talent acquisition, intellectual property protection, and employee transitions in the coming years.
