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Apple Widens Trade Secret Probe, Names 11 More Former Staff in OpenAI Dispute

Court filings reveal screenshots, device retention, and pre-interview briefings as the iPhone maker pushes for expedited discovery in its lawsuit against the AI firm and Jony Ive's acquired startup.

MH
Marcus Halloran
Developer Tools Reporter · Singapore
Aug 5, 2026
5 min read
Apple Widens Trade Secret Probe, Names 11 More Former Staff in OpenAI Dispute
Apple Widens Trade Secret Probe, Names 11 More Former Staff in OpenAI DisputeCredit: Shutterstock

A Broadening Investigation

Apple has expanded its internal investigation into alleged trade secret misappropriation, identifying 11 additional former employees who may have witnessed or participated in sharing confidential information with OpenAI. The disclosure, made in recent court documents, marks a significant escalation in the legal confrontation between the Cupertino giant and the AI company.

The iPhone maker originally accused two former senior staff members - Chang Liu, who worked as a senior system electrical engineer, and Tang Yew Tan, a former vice president - of disclosing proprietary information. The new filing suggests Apple's probe has uncovered a wider pattern of potential misconduct, prompting the company to request expedited discovery proceedings to accelerate evidence gathering.

At DailyTechWire, we've tracked rising tension between established hardware manufacturers and AI-first companies over talent migration. This case illustrates how the flow of engineers from legacy tech into generative AI startups has become a flashpoint for intellectual property disputes across Silicon Valley and beyond.

Allegations of Pre-Interview Coordination

The court filing outlines specific conduct that Apple believes violated confidentiality obligations. According to the company, one former employee met with Chang Liu before interviewing at OpenAI and discussed proprietary details about unannounced Apple products during that conversation. Another individual allegedly captured screenshots of confidential documents related to an unreleased product immediately prior to an OpenAI interview.

Apple also claims that multiple former employees now working at the AI firm reached out to return company-issued devices they had retained after leaving. The timing and nature of these device returns, the filing implies, suggest awareness of potential legal exposure.

These allegations point to a structured pattern rather than isolated incidents. If substantiated, they would indicate that departing engineers either failed to understand their confidentiality obligations or chose to disregard them in pursuit of new opportunities at OpenAI.

OpenAI's Counterclaim and Access Management

OpenAI has rejected the accusations, stating that it neither possesses nor desires Apple's trade secrets. In a filing submitted the day before Apple's latest motion, the AI company characterized the preliminary injunction request as unnecessary and grounded in inaccurate information.

The firm released text message exchanges involving Chang Liu that it says demonstrate Apple employees contacting him after his departure to inquire about file locations. OpenAI framed this as evidence of poor internal access controls, arguing that Apple failed to revoke system permissions when employees left the company.

This defense shifts the narrative from intentional theft to administrative failure. If OpenAI can demonstrate that Apple's own security lapses enabled access to sensitive materials, it may weaken the iPhone maker's claims of deliberate misappropriation. The contrasting interpretations of the same evidence underscore how talent mobility cases often hinge on procedural details rather than clear-cut wrongdoing.

The Hardware Ambitions Behind the Dispute

The lawsuit names not only OpenAI but also io Products, a startup previously led by Jony Ive, Apple's former chief design officer. OpenAI acquired the entity for $6.5 billion, a transaction that industry observers interpreted as a signal of hardware ambitions.

Speculation has centered on an AI-enabled smart speaker or similar consumer device that would leverage OpenAI's language models in a physical form factor. Ive's involvement lends credibility to the notion that the product will emphasize design and user experience - areas where Apple has long maintained competitive advantage.

Apple's legal strategy appears designed to prevent OpenAI from capitalizing on proprietary hardware knowledge, particularly around unannounced products. If former Apple engineers carried insights about upcoming devices into their work at OpenAI, the resulting products could replicate design choices, component architectures, or interaction paradigms that Apple considers trade secrets.

Expedited Discovery as Strategic Lever

Apple's request for expedited discovery signals confidence that additional evidence exists. Standard discovery timelines in complex commercial litigation can stretch across months or years; an accelerated schedule would enable Apple to depose witnesses, review communications, and examine devices far sooner.

For OpenAI, expedited proceedings compress the time available to prepare defenses and increase the risk of damaging revelations emerging quickly. The AI company must now balance its public posture of innocence with the practical need to audit its own hiring and onboarding processes for potential vulnerabilities.

From a strategic perspective, Apple's expansion of the accused group from two individuals to 13 suggests the company is prepared to pursue a wide-ranging case rather than a narrow claim. This approach raises the stakes for OpenAI and may be intended to discourage other AI firms from aggressively recruiting Apple engineers without rigorous confidentiality safeguards.

Implications for Talent Wars in AI

The case reflects broader friction in the AI hiring landscape. Companies building foundation models and AI hardware need engineers with deep expertise in chip design, power management, system integration, and user interface development - precisely the skill sets concentrated at Apple.

Rival firms in Seoul, Shenzhen, and Bengaluru face similar dilemmas. As generative AI drives demand for custom silicon and edge inference capabilities, the engineers who designed Apple's A-series chips, Neural Engine, or on-device ML pipelines become high-value targets. Yet aggressive recruitment carries legal risk if departing employees bring confidential knowledge with them.

Apple's willingness to name 11 additional employees publicly, even without charges filed against them, may serve as a deterrent. Engineers considering offers from AI startups now have a visible reminder that their former employer is prepared to investigate and litigate.

What Happens Next

The court will decide whether to grant expedited discovery and whether to issue a preliminary injunction blocking OpenAI from advancing suspected projects. If Apple prevails on the injunction, it could delay or derail OpenAI's hardware roadmap, particularly any product incorporating design elements or technical approaches that overlap with Apple's confidential work.

OpenAI, meanwhile, must decide whether to settle, to counter with its own discovery requests aimed at exposing Apple's access control failures, or to fight the case through trial. A settlement could include licensing terms, non-compete provisions for certain roles, or financial compensation - but it would also validate Apple's claims to some degree.

For the wider industry, the outcome will shape how companies structure offboarding procedures, enforce confidentiality agreements, and assess the risk of hiring from direct competitors. If courts side with Apple, expect tighter restrictions on talent mobility and more aggressive use of non-disclosure litigation as a competitive tool.

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