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Legal Operations
Building AI systems that make law efficient and accessible
I design and build AI-powered operations systems for law firms. I have developed 30+ end-to-end complex automations. I studied Psychology, AI, and Computer Science at Harvard, where I researched AI manipulation and dark patterns with Professor Cass Sunstein. I’ve published on AI agents and legal accountability, evaluation frameworks for law-following AI, and how AI intake systems can expand access to representation.
AI-powered contract review tool that reads consumer agreements and generates plain-language reports identifying problematic clauses — forced arbitration, class action waivers, hidden fees, auto-renewal traps, and unconscionable terms. Each finding cites the relevant statute (TILA, FTC Act, Magnuson-Moss, UCC, state UDAP laws) and maps to specific contract sections. Built with Python and Claude API.
AI-powered legal information tool helping international students navigate visa processes, OPT applications, travel signatures, Social Security, and emergency protocols. Provides step-by-step guidance with source citations and appropriate disclaimers. Deployed on Hugging Face with privacy-conscious design — no personal data stored. Built with Python and Hugging Face Spaces.
I believe the best legal technology starts with understanding how attorneys actually work, and then building systems that fit naturally into that process.