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Practice:

  • Mergers & Acquisitions

Justin Yi 合伙人

Santa Monica

Justin focuses his practice on complex business transactions, including mergers and acquisitions, leveraged buyouts, reorganizations, recapitalizations and minority investments, as well as general corporate and securities law matters. Justin represents corporations, private equity firms and investors across a wide range of industries, including technology, media, entertainment, healthcare, food and beverage and apparel.

Practice:

  • Technology & Innovation Sector
  • Private Equity
  • Mergers & Acquisitions

Kyle Zhu 高级律师

New York

Kyle represents public and private companies and private equity funds in various domestic and cross-border mergers and acquisitions transactions on both the buy-side and sell-side. Kyle is also experienced in advising clients on representation and warranty insurance and venture financings. As part of Orrick’s fintech and artificial intelligence working group, Kyle analyzes and creates thought leadership on novel legal issues related to crypto, web 3.0 and artificial intelligence.

Kyle is passionate about Diversity, Equity & Inclusion. He serves as a leader on Orrick’s New York Diversity, Equity & Inclusion Committee and Orrick’s Asian, Native Hawaiian and Pacific Islander Inclusion Network. He is also a Vice Chair of the Corporate Law Committee of the Asian American Bar Association of New York.

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Practice:

  • Cyber, Privacy & Data Innovation
  • Artificial Intelligence

Tom Zick 律师

旧金山

Before joining Orrick, she graduated cum laude from Harvard Law School and earned her PhD in Astrophysics from UC Berkeley. Previously, Tom was an AI Project Fellow at Harvard's Berkman Klein Center, where she worked with leading frontier model labs to build research collaborations and partnerships with the Harvard academic community.

Her policy consulting includes advising on the NIST Risk Management Framework, AI procurement practices for city governments, and helping inform AI agendas for congressional leaders. Tom has practical experience in red teaming advanced Generative AI models and co-creating industry benchmarks for Large Language Model alignment.

She has worked for the City of Boston on operationalizing their data governance framework and has advised early-stage founders on responsible technology development.

Her scholarly work includes award-winning papers on privacy and AI governance, and she has presented her insights at events like the IAPP Leadership Summit, NeurIPS, and New York Academy of Sciences and AI Now Workshops.