Executive Overview
The high-stakes legal battle between technology titan Apple Inc. and artificial intelligence pioneer OpenAI has taken another contentious turn. In the latest procedural escalation of a sprawling trade secret misappropriation lawsuit, OpenAI—alongside co-defendants Jony Ive’s design firm io Products and former Apple employees Chang Liu and Tang Tan—has formally petitioned the court to strike key evidence submitted by Apple.
At the center of the dispute is a massive cache of late-stage filings. Last week, Apple submitted a reply brief bolstered by five comprehensive expert declarations spanning a combined 126 pages, alongside 13 separate evidentiary exhibits. The Cupertino-based company deployed these documents to reinforce its ongoing bid for a preliminary injunction. If granted, the injunction would legally bar OpenAI and its partners from accessing, utilizing, disclosing, or soliciting Apple’s proprietary hardware designs and manufacturing secrets while the broader lawsuit plays out in court.
OpenAI and its co-defendants are aggressively pushing back. In a newly filed motion, the defense team has accused Apple of procedural foul play, arguing that the tech giant has improperly utilized a reply brief to introduce entirely new expert testimony and evidence that could, and should, have been submitted in its original opening motion. By doing so, the defendants argue, Apple has effectively blind-sided them, denying them a fair, reciprocal opportunity to mount a substantive defense against the fresh allegations.
The defendants are now asking the court to completely strike two of the new expert declarations—including those from forensic and data analysts—alongside several exhibits, while urging the judge to disregard other newly minted opinions. Alternatively, the defense has requested that if the court permits Apple’s new evidence, it must also accept a counter-declaration from defendant Chang Liu, who seeks to contextualize and refute the messaging and device activity flagged by Apple’s forensic experts.
Detailed Chronology of the Legal Battle
The Genesis of the Lawsuit
The roots of this legal showdown trace back to a bombshell filing in which Apple officially launched a trade secret theft lawsuit. The complaint targets not only OpenAI but also io Products—the secretive consumer hardware venture spearheaded by legendary former Apple Chief Design Officer Jony Ive—and two high-profile engineering defectors: Chang Liu and Tang Tan.
Apple’s core allegations paint a picture of intellectual property pilfering designed to fast-track OpenAI’s ambitions in the consumer hardware space. According to the court filings, Liu and Tan allegedly exploited their privileged insider access to extract sensitive, proprietary engineering data after their departures from Apple.

- The Allegations Against Chang Liu: Apple claims that Liu accessed confidential engineering files after he had officially left the company. These files allegedly contained critical data pertaining to advanced hardware manufacturing and component design.
- The Allegations Against Tang Tan: Apple alleges that Tan solicited confidential information from active Apple employees under the guise of casual interactions, specifically targeting personnel who were concurrently interviewing for positions at OpenAI or io Products.
To mitigate what it characterizes as ongoing and irreparable harm, Apple immediately requested a preliminary injunction. The company argued that without judicial intervention, its closely guarded trade secrets would become inextricably embedded into OpenAI’s nascent hardware pipeline, rendering eventual damages remedies insufficient.
The Paper Trail: Apple’s 126-Page Reply
As both legal teams prepared for the critical preliminary injunction hearings, the procedural battleground shifted to written briefs. Last week, Apple doubled down on its claims by filing a robust reply brief intended to dismantle OpenAI’s prior opposition.
To fortify its arguments, Apple introduced five expert declarations totaling 126 pages, accompanied by 13 detailed evidentiary exhibits. The roster of experts brought in by Apple includes:
- Daniel Roffman: Focused on forensic device analysis and communications data.
- James Pooley: A prominent intellectual property attorney and trade secret authority.
- Dr. Ayman Fayed: An expert in power-management systems and electrical engineering.
- Dr. Paul Hatch: Brought in to analyze specific hardware manufacturing methodologies.
- Dr. Jude Runge: An entirely new expert specializing in materials science and metal-finishing processes.
Through these documents, Apple asserted that OpenAI’s defense strategy fundamentally failed to dismantle the core trade secret claims. The company utilized the expert testimony to substantiate its internal security protocols, detail forensic recoveries from Liu’s personal devices, underline the immense economic value of its power-management architecture, and emphasize the strict confidentiality surrounding its proprietary metal-finishing techniques.
OpenAI’s Retaliation: The Motion to Strike
Recognizing the potential weight of Apple’s 126-page evidence dump, OpenAI and its co-defendants swiftly filed a motion to strike. The core premise of the defense’s argument is rooted in federal civil procedure: a reply brief is historically designed for rebutting arguments raised in an opposition, not for introducing brand-new evidence or launching fresh lines of expert testimony that should have been introduced in the opening petition.
From the defense filing:

"Apple submitted with its reply brief five new expert declarations (including one entirely new expert), totaling 126 pages, as well as numerous new exhibits. These declarations go far outside the scope of Apple’s opening brief and Defendants’ opposition, and in any event do not save Apple’s deficient motion."
The defendants systematically dismantled each of the new declarations, arguing that Apple was merely scrambling to patch holes in its original, legally deficient motion after reading the defense’s counter-arguments.
- Dr. Jude Runge: The defense flagged Runge as an entirely improper addition—an entirely new expert introduced late in the game to reinforce testimony Apple had already attempted to establish elsewhere.
- Dr. Ayman Fayed: Defendants argued that Fayed’s updated opinions regarding power-management systems contained material that could and should have been articulated in Apple’s initial filing.
- James Pooley: The defense challenged Pooley’s analysis, noting that it relied heavily on a targeted investigation conducted after Apple had already initiated its original motion, effectively weaponizing post-filing discoveries.
- Daniel Roffman: Roffman’s declaration drew intense scrutiny from the defense, which argued that he introduced evidence that was readily available to Apple long before the lawsuit was filed, while concurrently presenting selected communications from Chang Liu entirely out of context.
Consequently, the defendants have formally asked the court to strike Roffman and Runge’s declarations, strip the associated exhibits from the record, and toss out the improperly introduced expert opinions. In a tactical contingency, however, the defense added that should the judge decide to admit Roffman’s evidence, the court must concurrently accept a new declaration from Chang Liu, giving the former engineer an unhindered platform to explain the disputed messaging and device activity in his own words.
Supporting Context & Strategic Metrics
To fully grasp the gravity of this procedural dispute, one must examine the broader business context driving the litigation. The convergence of artificial intelligence and consumer hardware has created a high-stakes gold rush. OpenAI, heavily backed by Microsoft and commanding a staggering valuation, has made no secret of its desire to integrate its advanced AI models into physical devices. By partnering with Jony Ive—the visionary designer responsible for the industrial aesthetic of the iPhone, iPad, and Apple Watch—OpenAI signaled its serious intent to build a dedicated hardware ecosystem.
For Apple, the threat is existential. The company’s ecosystem is anchored by tightly integrated hardware and software, protected by decades of R&D investments, proprietary manufacturing techniques, and tightly guarded trade secrets.
- The Proprietary Domains at Risk: The lawsuit centers around two primary technological categories:
- Power-Management Architecture: Highly efficient circuitry and software algorithms that maximize battery life and thermal performance in portable devices.
- Metal-Finishing Processes: Specialized chemical and mechanical treatments that give Apple’s hardware its signature tactile feel, durability, and aesthetic finish.
- The Forensic Scale: The inclusion of five expert declarations and 126 pages of technical breakdown highlights the extreme forensic granularity required in modern trade secret litigation. Courts are increasingly forced to grapple with complex digital forensics, metadata analysis, and corporate data-exfiltration patterns.
Official Statements and Legal Positions
While corporate PR departments have remained largely measured in their public-facing statements regarding the ongoing litigation, the court filings reveal an unyielding war of words between elite legal counsel.

Apple maintains that its intellectual property is being systematically scavenged to jump-start a direct competitor’s hardware division. In its filings, Apple’s legal team has emphasized that the protection of trade secrets is vital to maintaining fair competition and innovation incentives within the technology sector. The company asserts that the preliminary injunction is not merely a punitive measure against former employees, but a necessary defensive shield to prevent irreparable market damage.
Conversely, OpenAI, io Products, and the individual defendants have characterized Apple’s lawsuit as an aggressive, overreaching tactic designed to stifle labor mobility and suppress legitimate technological competition. The defense asserts that Apple’s reliance on late-stage, voluminous expert declarations is a tacit admission that its initial legal claims lacked the evidentiary backing required to secure a preliminary injunction. By pushing to strike the new evidence, the defense is attempting to hold Apple to strict procedural standards, forcing the plaintiff to sink or swim based on the merits of its original filings.
Future Outlook & Procedural Next Steps
The immediate trajectory of this lawsuit now rests entirely in the hands of the presiding judge, who must rule on the defendants’ motion to strike.
- The Judge’s Ruling on Evidence: If the court grants the motion to strike, Apple’s preliminary injunction bid will be severely weakened, as it will be forced to rely solely on its initial, narrower evidentiary record. If the court denies the motion—or alternatively grants the motion while accepting Chang Liu’s counter-declaration—the evidentiary scope of the preliminary injunction hearings will expand significantly.
- The Preliminary Injunction Hearing: Regardless of how the evidentiary motions are resolved, the court will soon have to rule on whether to issue the preliminary injunction blocking OpenAI and io Products from utilizing the disputed trade secrets. A ruling in Apple’s favor could force OpenAI and Jony Ive to halt certain hardware development pipelines or redesign components from scratch. A ruling for OpenAI would allow the hardware initiative to proceed unhindered while the litigation moves toward a full trial.
- The Road to Trial: Beyond the preliminary injunction phase, the case is poised for a protracted discovery process. Depositions of high-profile executives, forensic imaging of corporate and personal servers, and intense legal maneuvering over what constitutes a legally protected trade secret versus general industry knowledge will dominate the docket for the foreseeable future.
As the intersection of generative AI and consumer hardware reshapes the Silicon Valley landscape, this lawsuit is shaping up to be a landmark legal battle that will test the boundaries of intellectual property law, employee mobility, and corporate espionage in the artificial intelligence era.
