San Francisco, California, United States
• Co-founded legal tech startup that launched research product used by thousands of attorneys
• Created initial frontend and backend, securing $7.8M from Thiel Capital and Khosla Ventures
• Developed NLP solutions to extract metadata from legal documents, handling edge cases with accurate data modeling and maintaining debuggability with internal tools
• Developed in-house pipeline for data processing, merging algorithm-derived and manually-reviewed data to create ground truth map of the law
• Instituted continuous integration and deployment from day one, fostering strong testing ethos
• Set technical vision, recruited engineers, and handled product direction
• Team grew to 14 employees, partnered with State of California to power future legal tools