I am a copyright, data privacy, and AI attorney licensed in both California and the EU (Lithuania), with over 15 years of experience helping clients navigate intellectual property, copyright, data governance, and emerging AI-related issues.
My work sits at the intersection of law, innovation, and human-centric design—supporting creators, companies, and policymakers as they adapt to the challenges of generative AI.
As Co-Founder and Chief Legal Officer at Prifina, a San Francisco–based personal data technology company, I lead legal strategy, privacy, and AI governance. At Prifina, we are building a “private-by-default” data framework that allows intelligent apps and personal AI agents to run directly on users’ own data—empowering individuals to own, control, and benefit from their digital intelligence. Our work has been internationally recognized for pioneering ethical and privacy-preserving approaches to AI and data ecosystems.
In addition to my industry work, I currently as a Visiting Scholar at UC Berkeley School of Law (2025–2026) and a Senior Lecturer at Vilnius University Faculty of Law, where I teach Data Privacy Law: Human-Centric Approaches and CopyrightX (a joint program with Harvard’s Berkman Klein Center).
I regularly speak at international conferences—including the Copyright Society International (Dublin 2025), Privacy Symposium (Venice 2025), and the MIT–Vilnius University Summit (2025)—on topics such as AI authorship, copyright reform, and the future of personal data.
My academic background includes an LL.M. from Harvard Law School and a Ph.D. in Law from Kyushu University (Japan), where I wrote my dissertation on cross-border patent litigation under the supervision of Professor Toshiyuki Kono. I am a recipient of the Japan Society for the Promotion of Science (JSPS) Postdoctoral Fellowship, and a long-standing CopyrightX Teaching Fellow at Harvard.
Across my legal and academic work, I focus on how law can enable technological progress without eroding individual autonomy. I am currently writing two forthcoming books—Data Justice and The Creativity Machine—both exploring how AI transforms creativity, ownership, and data governance in the 21st century.
