MARSHALL - Autonomous Insurance Appeal Engine

Every single year in the United States, health insurance companies deny over 850 million medical claims....a staggering 20.4% initial rejection rate. Official government data reveals that over 50% of properly appealed claims are eventually overturned and paid, but less than 1% of patients ever fight back because hiring a healthcare lawyer costs 500 dollars an hour. Insurers count on regular people feeling overwhelmed and giving up. MARSHALL changes the rules by providing an autonomous AI health advocacy engine that turns patient stories into binding legal demand letters. Technical Architecture and 3-Partner Engine: 1. Speechmatics Voice Engine: Real time patient voice dictation, medical entity extraction (CPT and ICD-10 codes), and 98% accurate transcription. 2. Bright Data MCP Scraper: Live 50 state insurance statute scraping in 142ms, prompt-settlement deadline auditing under California Insurance Code Section 2695.7, and fair-market fee benchmarking. 3. AI/ML API Legal Synthesis: Multi-agent legal reasoning, statutory penalty interest calculation, and official Parchment Demand Letter PDF generation for State Insurance Commissioner export. Production and Open Source Standards: Open-source software licensed under Apache 2.0. Built with React 18, TypeScript, Tailwind CSS, Supabase Edge Functions, and Web Speech API.