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Analyzing critical legal trends and developments across data, cyber, AI and digital regulations from around the world and beyond borders

In Artificial Intelligence

Eye on AI Episode 4: AI Deal Points in M&A Transactions

by , and 1 Min Read

With the accelerated number of M&A deals currently being made and projected to continue, digital transformation is driving an increase in interest in AI targets for acquisition. In this episode of Eye on AI, Lisa Fontenot and Teisha Johnson join moderator Bradford Newman to discuss key issues and value drivers to consider in AI transactions, as well as considerations with regard to antitrust or foreign investment approvals that may be needed when making an AI related investments.

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Lisa is a partner at Baker McKenzie Palo Alto. She has advised clients as to mergers and acquisitions and other complex corporate transactions, securities transactions, regulation and corporate governance matters for over 25 years with particular expertise in the technology, media and telecommunications sectors.

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Teisha Johnson is a member of Baker McKenzie's antitrust practice in Washington, DC. She advises clients on a wide range of antitrust and e-discovery matters, and has considerable experience counseling clients in government investigations, proposed mergers and acquisitions, compliance, and litigation matters.

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Bradford Newman is a litigation partner resident in Baker McKenzie's Palo Alto Office and Chair of the North America Trade Secrets Practice. According to Chambers USA, Brad is a "recognized authority on trade secrets cases" who "is valued for his tenacious, intelligent and thoughtful approach to trade secrets matters." Bradford regularly serves as lead trial counsel in cases with potential eight and nine-figure liability, and has successfully litigated (both prosecuting and defending) a broad spectrum of trade secrets cases in state and federal courts throughout the country. He routinely advises and represents the world's leading technology, banking, professional service, manufacturing and commerce companies in connection with their most significant data protection and trade secret matters.

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