Nikhil Goyal is an associate in the Palo Alto office of Wilson Sonsini Goodrich & Rosati, where his practice focuses on privacy and data security. He routinely helps clients identify, evaluate, and implement practical solutions to use and manage risks with respect to data, including in the context of mergers, acquisitions, and other commercial transactions. Nikhil advises clients ranging from start-ups to multinational public companies on compliance with data protection requirements, negotiates privacy and data security provisions in commercial transactions, and engages in privacy and data security due diligence.
The International Association of Privacy Professionals has designated Nikhil as a Certified Information Privacy Professional.
Nikhil Goyal is an associate in the Palo Alto office of Wilson Sonsini Goodrich & Rosati, where his practice focuses on privacy and data security. He routinely helps clients identify, evaluate, and implement practical solutions to use and manage risks with respect to data, including in the context of mergers, acquisitions, and other commercial transactions. Nikhil advises clients ranging from start-ups to multinational public companies on compliance with data protection requirements, negotiates privacy and data security provisions in commercial transactions, and engages in privacy and data security due diligence.
The International Association of Privacy Professionals has designated Nikhil as a Certified Information Privacy Professional.
- J.D., Harvard Law School, 2020
- B.A., Philosophy, University of Southern California, 2017
Magna Cum Laude
- State Bar of California
- J.D., Harvard Law School, 2020
- B.A., Philosophy, University of Southern California, 2017
Magna Cum Laude
- State Bar of California
Select Publications
- Co-author, “Round Three: FTC Proposes Further Restrictions on Meta's Privacy Practices and a Complete Prohibition on Meta Monetizing Youth Data,” Wilson Sonsini Alert, May 5, 2023
Select Publications
- Co-author, “Round Three: FTC Proposes Further Restrictions on Meta's Privacy Practices and a Complete Prohibition on Meta Monetizing Youth Data,” Wilson Sonsini Alert, May 5, 2023
Founded in 2016, Embark has built a robust autonomous software stack that uses machine learning methodologies for perception while relying on a safety-redundant compute system. Embark also developed a custom-built hardware platform optimized for autonomy and has performed extensive real-world testing and system deployment, with over 1.5 million miles of autonomous operations conducted on highways. Applied aims to integrate Embark's internal tools, data, and software assets to further improve its offerings for customers in the trucking and automotive industries.
The transaction, which has been approved unanimously by the boards of directors of both companies, is expected to close in Q3 2023 and is subject to approval by Embark shareholders and other customary closing conditions. Upon completion of the transaction, Embark shares and warrants will cease trading on NASDAQ, and Embark will become a privately held company.
The Wilson Sonsini team advising Embark and its Transaction Committee on the acquisition includes: