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Former Apple Engineer Sentenced for Stealing ‘Project Titan’ Information

Former Apple engineer Xiaolang Zhang, who pleaded guilty to stealing information related to the company’s ÔÇÿProject TitanÔÇÖ autonomous car efforts, has been sentenced to 120 days in prison, and fined $146,984, court documents of his sentencing show. Additionally, after completing his jail term, Zhang, who originally faced up to 10 years in prison and a $250,000 fine, must serve a three-year supervised release, the court ruled. He is expected to surrender by June 19; after this, he will be sent to a minimum-security facility as close as possible to his home in San Jose, California.

Apple Inc. logo (File Photo/REUTERS)

The ex-Apple engineer was arrested in July 2018 at the San Jose International Airport just as he was about to board a flight to China. He initially pleaded not guilty, though he changed his mind and pleaded guilty in August 2022.

Theft of Information

Zhang, who was a hardware engineer on Project Titan, transferred a 25-page document containing engineering schematics of the proposed vehicle’s circuit board, to his wife’s laptop. He also saved a copy of technical manuals that described the vehicle’s prototype to that laptop. He also stole circuit boards and Linux servers from the tech giant’s development labs.

How Apple came to know

Following a paternity leave and a trip to China, the engineer resigned from the iPhone maker; his resignation letter informed the Cupertino, California-based firm that he was going to China to work for XPeng Motors. As Xpeng too was working on self-driving technology, Apple conducted an investigation, and caught Zhang on CCTV taking hardware from the company’s labs, and transferring data to his wife’s computer, leading to the lawsuit.

How AI legalese decoder Can Help with the Situation

The AI legalese decoder can be instrumental in assisting with cases like this by using artificial intelligence to analyze legal documents, contracts, and other materials related to the case. It can quickly and accurately identify any instances of data theft, intellectual property infringement, or breach of confidentiality. By employing advanced algorithms, it can uncover hidden patterns and connections within the information, providing valuable insights to legal professionals and investigators.

Furthermore, the AI legalese decoder can help in the early detection of suspicious activities by monitoring electronic communications, file transfers, and access to sensitive data. It can flag potential violations of company policies or legal regulations, allowing for timely intervention and mitigation of risks. By implementing this technology, companies can safeguard their proprietary information and prevent unauthorized disclosures, ultimately avoiding costly legal battles and reputational damage.

In the specific case of Xiaolang Zhang’s theft of ‘Project Titan’ information, the AI legalese decoder could have identified the unauthorized transfer of engineering schematics and technical manuals to his wife’s laptop, as well as the removal of hardware from Apple’s development labs. By alerting the company’s security team to these activities, it could have facilitated a swift response to prevent further loss of confidential data and hold the perpetrator accountable. Ultimately, the AI legalese decoder serves as a powerful tool in protecting intellectual property and ensuring compliance with legal standards.

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