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Henry Lebowitz
is a partner at Debevoise & Plimpton LLP, where he leads the Intellectual Property and technology aspects of mergers and acquisitions, financings, capital markets and other corporate transactions. He has advised companies on complex transactions, litigation, portfolio development and other IP matters in an array of industries. He assists clients in evaluating patents, trademarks and other intellectual property, developing effective IP portfolios, assessing the merits of IP-related litigation and other disputes and implementing strategies to avoid or favorably resolve such disputes. He is recognized by The Legal 500 in Technology: Transactions and M&A – Large Deals ($1 bn+). Henry has co-taught the advanced patent law seminar at Columbia University School of Law since 1997, and since 2012 he also has taught an IP legal practice workshop at the law school.
For more information or to contact Henry, please visit his Firm Profile Page.
Recent Articles by Henry Lebowitz
The last few years have seen unprecedented changes in the legal landscape concerning data protection and privacy. The European Union General Data Protection Regulation (GDPR) became enforceable in May 2018. In July 2018, the California Consumer Privacy Act (CCPA) was enacted, and it became effective January 1, 2020. In response to the GDPR and the CCPA, many businesses are updating their privacy policies to comply with these laws. While crafting these updates, drafters should be cognizant of the effect such policies could have not only in the short term, but also down the road. For example, in the bankruptcy context, the content of a company’s privacy policy is important. If a privacy policy does not inform customers that their data may be sold in a bankruptcy proceeding, courts are likely to impose restrictions on the sale of that data. These restrictions can significantly decrease the value of such assets. Because of this reality, drafters should keep a few considerations in mind as they update privacy policies to comply with new laws and maximize the value of data assets.
