FuJae Partners Held a Client-exclusive Webinar on China’s Data Regulatory Landscape

December 17, 2021

On December 15, 2021, FuJae Partners held a client-exclusive webinar on the theme of China’s data-related laws and regulations.  The webinar was delivered by Dr. Donnie Dong, a seasoned lawyer specialized in tech law, data privacy and intellectual property matters.  In-house lawyers, compliance officers, data protection officer(s) and information security specialists from North America, Europe and the region of Asia Pacific attended the webinar.

The webinar reviewed the landscape of China’s data laws, but put its focus on the recent development in 2020 and 2021.  The promulgation of China’s Personal Information Protection Law (PIPL) and Data Security Law (DSL) have triggered heated discussions globally. The webinar covered these topics and provided insights of our lawyers who have extensively worked on data compliance matters.

It is expected that the year of 2022 will be a year of enforcement of data-related laws.  Multinational companies who have presences in China or provide products/services to Chinese consumers need to take compliance actions. However, before diving into details, one needs to prioritize the compliance work by assessing the practical risks in front of this wave of legislation. The webinar introduced the rationale of recent legislations and exhibited how the Chinese authorities have chosen their targets of enforcement.

Based on his experiences in dealing with authorities and managing large data collector’s privacy programs, Dr. Dong suggested taking an industrial-specific approach and prioritize certain works that may post higher risks to multinational companies.  He also suggested that certain compliance actions should be held until the authority clarifies the procedures and thresholds.

This webinar is a part of FuJae Partner’s series webinars on China’s regulatory developments in the new decade of 2020s.  In near future, FuJae will hold more events covering the topics of cross-border data, data classification, and trade compliance issues.