Parker Addison specializes in AI strategy, with a focus on responsible integration of generative AI including confidentiality, and the development of AI-powered tools for legal practice. At Gabriel Arbitration, Parker advises on the adoption and implementation of AI across the firm's operations, marketing, and case processing workflows.
Prior to joining Gabriel Arbitration, Parker worked as an AI & Data Consultant at Deloitte Consulting's Government & Public Services practice, where he served as technical lead on several applied AI engagements for highly-regulated industries, including a $4M+ generative AI project for a U.S. federal agency. His work consistently focused on data privacy, responsible AI integration, and unlocking state-of-the-art AI capabilities for non-technical stakeholders. He has published and contributed technical writing on AI governance and privacy-enhancing technologies, including in response to solicitations from the U.S. White House Office of Science & Technology Policy, the U.S. FDA, and the United Nations.
Parker is studying an MSc in Data Science at ETH Zürich and holds a BSc in Data Science from the University of California San Diego, where he graduated with distinction (Magna Cum Laude) and received the Jeffrey L. Elman Award for Academic Excellence. He was sponsored by Deloitte through its Graduate School Assistance Program, which each year selects its highest-performing consultants for top graduate programs.
- CV of Parker Addison (PDF)