WeRide Corp. v. Kun Huang

379 F. Supp. 3d 834
CourtDistrict Court, N.D. California
DecidedMarch 22, 2019
DocketCase No. 5:18-cv-07233-EJD
StatusPublished
Cited by34 cases

This text of 379 F. Supp. 3d 834 (WeRide Corp. v. Kun Huang) is published on Counsel Stack Legal Research, covering District Court, N.D. California primary law. Counsel Stack provides free access to over 12 million legal documents including statutes, case law, regulations, and constitutions.

Bluebook
WeRide Corp. v. Kun Huang, 379 F. Supp. 3d 834 (N.D. Cal. 2019).

Opinion

EDWARD J. DAVILA, United States District Judge

Autonomous vehicle companies WeRide Corp. and WeRide, Inc. (collectively *841"WeRide") have filed suit against Zhong Zhi Xing Technology Co. Ltd. ("ZZX"), AllRide.AI, Inc. ("AllRide" unless otherwise noted), former WeRide CEO Jing Wang, and former WeRide Director of Hardware Kun Huang (collectively "Defendants"). WeRide brings claims against all Defendants under the federal Defend Trade Secrets Act and California's Uniform Trade Secrets Act, against Wang and Huang for breach of contract, against Huang for breach of fiduciary duty, and against Wang for defamation and intentional interference with prospective economic advantage. This Court has jurisdiction through the Defend Trade Secrets Act claim and 28 U.S.C. § 1331, and supplemental jurisdiction over the state law claims under 28 U.S.C. § 1367.

Currently before the Court is WeRide's Motion for Preliminary Injunction and Expedited Discovery. Wang and Huang each filed an opposition. ZZX and AllRide filed a single opposition.1 WeRide filed a reply. With leave from the Court, Huang filed a sur-reply. Three days before the hearing, ZZX and AllRide moved for leave to file supplemental briefing. The next day, WeRide filed objections to the ZZX and AllRide's motion for leave. In addition, the parties have filed numerous declarations and exhibits. Having heard oral argument and considered the timely-filed papers, the Court grants the Motion in part and denies it in part.2

I. Background

In the past number of years, each of the parties has worked to develop autonomous vehicles for the Chinese market. Autonomous vehicle technology is still young, but it could well be the next disruptive technology worth trillions of dollars over the coming decades. Roger Lanctot, Strategy Analytics, Accelerating the Future: The Economic Impact of the Emerging Passenger Economy 5 (2017), available at https://newsroom.intel.com/newsroom/wp-content/uploads/sites/11/2017/05/passenger-economy.pdf. It has the potential to remake the industry and market for both vehicles and ride-hailing services. See generally id. Unsurprisingly, the autonomous vehicle industry is crowded with competitors. See Huang Decl. ¶ 6. WeRide claims to have invested at least $ 45 million to develop its code base alone. Li Decl. ¶¶ 10-11. Last year, AllRide and/or ZZX announced plans to hire 100 engineers before the end of 2018. Zhang Decl. ¶ 29.

Autonomous vehicles are based on complex technology that requires significant time and resources to develop. It may take weeks to develop basic computer modules before starting road tests with a safety driver at the steering wheel. Walter Decl. ¶¶ 58, 62. Developers use a process called "deep learning" to teach the autonomous vehicle systems how to respond to new or unexpected events by entering large amounts of exemplary data into the systems' algorithms. Id. ¶ 10. Development is an iterative process that cannot be accelerated without hiring a "very large number" of employees. Id. ¶¶ 27-33.

Wang and Huang have worked in this competitive and demanding industry since 2012 and 2016 respectively when they were employed by Baidu-a Chinese technology *842company. Wang. Decl. ¶ 9; Huang Decl. ¶ 2. Huang worked as a Senior Software Architect in Baidu USA's autonomous driving unit. Huang Decl. ¶ 2. Wang was an executive overseeing various divisions before joining Baidu's autonomous vehicle project. Wang Decl. ¶¶ 7-11.

Wang left Baidu to form WeRide, originally called JingChi Corp., with four others in early 2017. Wang Decl. ¶¶ 11-12. Wang began serving as CEO in April 2017. Lu Decl. ¶ 7. Around that time, WeRide co-founders Tony Han and Yan Li recruited Huang to join as the Director of Hardware Engineering. Id.

WeRide has developed modules in its code base related to three areas relevant here: HD mapping, sensor fusion-based localization, and state machines. Autonomous vehicles require special maps, called HD maps, which are constructed by test vehicles repeatedly driving through a certain area while collecting data with multiple sensors. Walter Decl. ¶¶ 23-25. Sensor fusion-based localization is the process of combining data collected by the various sensors on a vehicle (the "sensor-fusion") and then using that data to pinpoint the vehicle's location in a mapped area (the "localization"). Id. ¶ 68. State machines are decision models that decide how an autonomous vehicle will act or preform in different scenarios or "states." Id. ¶ 80. WeRide did not invent these concepts, but it claims the source code and algorithms it developed to implement them are its trade secrets. Walter Ex. B.

WeRide takes steps to maintain the secrecy of its proprietary code. WeRide employees, including Wang and Huang, are required to sign its Proprietary Information and Inventions Agreement ("PIIA"). Zhang Decl. ¶ 4; Zhang Ex. B; Lu Ex. B. The PIIA provides that WeRide employees will "hold in confidence and not disclose or, except within the scope of [their] employment, use any Proprietary Information." Zhang Ex. B ¶ 4. The PIIA defines "Proprietary Information" as "all ... business, technical and financial information ... [the employee] develop[s], learn[s], or obtain[s] during the term of [their] employment that relate to Company or the business or demonstrably anticipated business of Company or that are received by or for Company." Id. The PIIA includes a provision prohibiting the solicitation of WeRide employees away from WeRide for one year following the end of an individual's employment with WeRide.

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Bluebook (online)
379 F. Supp. 3d 834, Counsel Stack Legal Research, https://law.counselstack.com/opinion/weride-corp-v-kun-huang-cand-2019.