Microsoft and Google squared off in Washington State court Tuesday about whether Kai-Fu Lee’s work at Google would violate a non-compete contract.
According to Google’s opposition to Microsoft’s request for a preliminary injunction against Lee working for Google, Lee wouldn’t be in competition if he went to China to open a Google research lab there, because there’s not much to compete with on Microsoft’s end.
Microsoft sued Lee and Google for violating a non-compete agreement Lee signed when he went to work for Microsoft. Redmond already won a temporary restraining order against Lee’s going to work at Google; arguments in court are aimed at making the restraining order last through the trial.
Google already has said that it would limit Lee’s activities to opening a China research center and recruiting Chinese engineers to work there. Google said Microsoft’s definitions are too broad. For example, because Microsoft is recruiting in China, it argues that if Lee recruited in China, he’d be competing. Also, Lee recruited for Microsoft’s China lab five years ago as a contractor, not a Microsoft employee.
”It is a misnomer to suggest that there is a ‘China strategy’, as opposed to organizational proposals for how to deal with internal competition for resources and bickering within Microsoft’s poorly coordinated China organization,” Google’s motion said.
According to Google spokesman Steven Langdon, ”They tried to portray Kai-Fu as an influential China executive, when in fact he had neither the resources nor the responsibility to get anything done.”
Langdon said Lee’s ideas about China had fallen on deaf ears in Redmond. ”He tried and tried, but no one would listen to him, nor were they interested in his suggestions. The facts show that he was very far from being an influential China executive.”
This article was first published on internetnews.com. To read the full article, click here.
Huawei’s AI Update: Things Are Moving Faster Than We Think
FEATURE | By Rob Enderle,
December 04, 2020
Keeping Machine Learning Algorithms Honest in the ‘Ethics-First’ Era
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 18, 2020
Key Trends in Chatbots and RPA
FEATURE | By Guest Author,
November 10, 2020
FEATURE | By Samuel Greengard,
November 05, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
November 02, 2020
How Intel’s Work With Autonomous Cars Could Redefine General Purpose AI
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 29, 2020
Dell Technologies World: Weaving Together Human And Machine Interaction For AI And Robotics
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
October 23, 2020
The Super Moderator, or How IBM Project Debater Could Save Social Media
FEATURE | By Rob Enderle,
October 16, 2020
FEATURE | By Cynthia Harvey,
October 07, 2020
ARTIFICIAL INTELLIGENCE | By Guest Author,
October 05, 2020
CIOs Discuss the Promise of AI and Data Science
FEATURE | By Guest Author,
September 25, 2020
Microsoft Is Building An AI Product That Could Predict The Future
FEATURE | By Rob Enderle,
September 25, 2020
Top 10 Machine Learning Companies 2020
FEATURE | By Cynthia Harvey,
September 22, 2020
NVIDIA and ARM: Massively Changing The AI Landscape
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
September 18, 2020
Continuous Intelligence: Expert Discussion [Video and Podcast]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 14, 2020
Artificial Intelligence: Governance and Ethics [Video]
ARTIFICIAL INTELLIGENCE | By James Maguire,
September 13, 2020
IBM Watson At The US Open: Showcasing The Power Of A Mature Enterprise-Class AI
FEATURE | By Rob Enderle,
September 11, 2020
Artificial Intelligence: Perception vs. Reality
FEATURE | By James Maguire,
September 09, 2020
Anticipating The Coming Wave Of AI Enhanced PCs
FEATURE | By Rob Enderle,
September 05, 2020
The Critical Nature Of IBM’s NLP (Natural Language Processing) Effort
ARTIFICIAL INTELLIGENCE | By Rob Enderle,
August 14, 2020
Datamation is the leading industry resource for B2B data professionals and technology buyers. Datamation's focus is on providing insight into the latest trends and innovation in AI, data security, big data, and more, along with in-depth product recommendations and comparisons. More than 1.7M users gain insight and guidance from Datamation every year.
Advertise with TechnologyAdvice on Datamation and our other data and technology-focused platforms.
Advertise with Us
Property of TechnologyAdvice.
© 2025 TechnologyAdvice. All Rights Reserved
Advertiser Disclosure: Some of the products that appear on this
site are from companies from which TechnologyAdvice receives
compensation. This compensation may impact how and where products
appear on this site including, for example, the order in which
they appear. TechnologyAdvice does not include all companies
or all types of products available in the marketplace.