New phase in the Apple-OpenAI case: Recruitment interviews are under the spotlight!

In the trade secret case between Apple and OpenAI, attention this time turned to recruitment processes.

U.S. District Judge Edward Davila allowed former Apple employees access to certain records related to job interviews during the transition to OpenAI. In line with the decision, OpenAI will share documents related to some interviews with former Apple employees who applied to consumer hardware and robotics teams.

The court's purpose is to examine whether Apple's confidential technical information was transferred to OpenAI during recruitment interviews.

The court ordered OpenAI to deliver the relevant documents it had previously collected within 5 days and other records within 14 days.

The documents requested by Apple include checklists used in recruitment interviews, interview guides, internal instructions and evaluation scenarios for candidates.

In addition, the technical presentations made by the candidates and records showing references to Apple technologies or hardware components in the interviews were also included in the decision.

The allegations in Apple's lawsuit file are that some people who started working at OpenAI after leaving the company took Apple's confidential technical information with them.

The company claims that some former employees used Apple laptops to download files related to unannounced technologies, products and technical features.

It is stated that the materials in the case file include engineering presentations, technical specification documents and proprietary data related to product development projects.

Apple also alleges that some former employees advised colleagues who were considering applying to OpenAI on what information they should bring to job interviews.

The court's decision was not limited to employment documents. Apple was also allowed to review some private correspondence between the people mentioned in the case via the LINE messaging application. In this context, relevant messages between OpenAI employees Chang Liu and Alyssa Peng were included in the document sharing process.

The court also allowed Liu and Peng, as well as Tang Yew Tan, a senior OpenAI hardware manager, to testify under oath. The fact that all three people previously worked at Apple makes these statements important in terms of possible information transfer allegations in the case.

The court did not accept some of Apple's broader demands regarding OpenAI's research and development activities. The request for an expedited review of work carried out, especially in technical areas such as metal surface coatings and power management, was rejected.

Apple's requests for more comprehensive information about OpenAI's general hardware research and work developed by former Apple employees at the new company were also limited.

Judge Davila distinguished between documents directly linked to recruitment processes and OpenAI's ongoing research activities. However, the way was left open for Apple to re-apply by narrowing its demands in the following stages.

The background of the case also includes OpenAI's consumer hardware development efforts. It is considered that the device in question, which has not yet been officially introduced, may offer a different usage model from smartphones in accessing artificial intelligence-supported services.

OpenAI's employment of former Apple employees in the fields of consumer hardware and robotics has brought the technical expertise and product development processes of the two companies to the center of the legal debate.

The court's decision allows faster review of documents that may support Apple's claims. However, at this stage, there is no definitive determination that a trade secret violation has occurred.

The documents to be examined in the later stages of the case will be decisive in terms of how the distinction between the general professional experience gained by the employees from their former employers and the use of legally protected confidential technical information will be evaluated.