
Cecilia Jeong
Cecilia serves as data privacy counsel in the New York office.
Cecilia has extensive experience advising emerging companies and leading funds on data-related issues throughout the corporate and data lifecycle. From product counseling, data strategies, and compliance, Cecilia takes a practical and commercial approach to advising clients find solutions to complex problems. Cecilia advises clients on variety of domestic and cross-jurisdictional data privacy, cybersecurity, and AI issues from formation to exit, including in the context of venture capital financings, mergers and acquisitions, and IPOs.
Cecilia regularly clients across a wide variety of high tech industries such as AI/ML, consumer internet, consumer products, ad tech, health tech, fintech, SaaS, media, blockchain, and web3, helping them navigate the ever-growing complexity of privacy laws, including the GDPR, CCPA, TCPA, HIPAA, CAN-SPAM, biometric privacy laws, data broker laws, and AI laws, such as the EU AI Act, the Colorado AI Act.
Cecilia is certified by the International Association of Privacy Professionals (IAPP) with respect to the U.S. private-sector (CIPP/US), the European data protection (CIPP/E), information privacy management (CIPM) and is also a Fellow of Information Privacy (FIP).
Webinar
The 5 Most Common Generative AI Use Cases: Practical Guidance on How to Mitigate Privacy-Related Risk Webinar
Associate Cecilia Jeong and Partner Katie Gardner led a webinar providing practical guidance on navigating the privacy implications of five of the most common uses of generative AI, including (1) using personal data to train AI models, (2) building AI products using third party APIs and open source models, (3) voice assistants, chatbots, and conversational AI, (4) image/likeness/AI-cloned voice and deepfakes, and (5) other high risk areas for generative AI.













