Paul Sieminski is a seasoned legal executive who blends 20+ years of corporate and transactional experience with deep expertise at the intersection of AI, intellectual property, and open source. As Chief Legal Officer at Liquid AI and former CLO at Automattic, he has guided high-growth tech companies through complex M&A, fundraising, and product legal risks while shaping policies on user rights, privacy, and platform responsibility. He advises product and research teams on AI model development, training data governance, and distribution strategies, bringing a hands-on, values-driven approach to novel AI legal issues. Paul also contributes to the broader startup ecosystem via board service at Engine and by advising academic programs on the future of AI in law. Known for pairing commercial judgment with advocacy for an open internet, he uniquely translates technical product tradeoffs into pragmatic legal and business guidance. Based in San Francisco, he combines Big Law and in-house leadership experience to help founders scale responsibly in rapidly evolving technology markets.
12 years of coding experience
BS, Business Administration, BS, Business Administration at Georgetown University
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