Projects / LawOne AI
LawOne AI
I built the foundation of a legal-information research platform so users can organize jurisdictions and search with clear source labeling — not legal advice, and not a finished commercial product yet.
Problem solved
Legal research materials are fragmented across jurisdictions. Teams need organized search with honest source labeling.
What I built
A Next.js platform foundation with research UI, search filters, change-monitoring UI, assistant scaffolding, and a national catalog framework — with demonstration data labeled in-product.
Technologies used
Next.js, TypeScript, Tailwind, Vitest, Supabase schema foundations.
Why this matters to an employer
You get someone who can document and ship product foundations carefully — with clear disclaimers, labeled demo data, and no over-claims about live LLM or Auth.
Verified outcome
Phases A–H documented. 6 UI screenshots published. Explicit constraints: no live LLM, no live Auth/Stripe in public claims; catalog ≠ ingested law. Status: in development — not a finished commercial product.
System topology architecture diagram.
Documented build phases.
Ready to interview? I am available for remote AI Operations, Automation, Technical Support, and AI Implementation roles.