About the IAPP

Odia Kagan is Of Counsel in the Privacy and Data Security Group at Ballard Spahr LLP. She combines her in-depth knowledge of privacy and data security regulations and best practices with her keen understanding of emerging and information technologies, to provide clients with practical advice on how to design and implement their products and services, consummate their M&A transactions, and engage third party vendors, in the US and abroad.

With a transactional practice focus, Ms. Kagan negotiates cloud computing, technology services, and e-commerce agreements both on the vendor and on the client side, and prepares privacy and information security policies and procedures. She regularly provides clients ongoing counseling regarding privacy and data security compliance in their day-to-day operations, including cross border data transfers, Privacy Shield certification and preparation for the EU General Data Protection Regulation (GDPR). Ms. Kagan has substantial experience working with Israeli start-ups and assisting multinational companies with cross border transactions.

Ms. Kagan is serves on the IAPP Publications Advisory Board and is the Co-Chair of the IAPP Philadelphia Knowledgenet Chapter. She also serves on the board of advisors of Prifender, a privacy compliance startup and as the Co-Chair of the Cyberlaw Committee of the Philadelphia Bar Association.

Odia Kagan is a Partner and Chair of GDPR Compliance & International Privacy Practice at Fox Rothschild LLP, a US national law firm. Odia has advised more than 200 companies of varying industries and sizes on compliance with GDPR, the California Consumer Privacy Act (CCPA) and other US data protection laws. With an emphasis on a pragmatic, risk based approach, Odia provides clients with practical advice on how to design and implement their products and services in a compliant manner. Odia holds 3 law degrees, 5 bar admissions and 6 privacy certifications (FIP, PLS, CIPP/US/E, CIPM, CDPO). You can follow her on https://www.linkedin.com/in/odiakagan/