Roger Hahn@rhahn28
1
Events attended
1
Submissions made
United States
8+ years of experience
About me
U.S. patent attorney (USPTO Reg. No. 46,376) revolutionizing intellectual property practice through AI innovation. As founder of Abigail IP, I combine deep legal expertise with hands-on technical development to create next-generation patent automation and MOE (Mixture of Agents) workflows. Roger's unique background spans an MBA from Columbia Business School, a JD from IIT, Chicago-Kent, an MS in Biomedical Engineering from Johns Hopkins, and advanced AI/ML training from Columbia University Engineering. At Abigail IP, Roger architects enterprise-grade solutions using MCP servers, Qdrant vector databases, and open-source models such as Mistral in a lightweight, secure, proprietrary framework, with CI/CD pipelines deployed on Google Cloud Platform via GitHub. His platform transforms patent workflows through Retrieval-Augmented Generation (RAG), automating complex tasks from FTO analysis to patent drafting. Previously, Roger founded Temburi (patent automation) and co-founded YouGene (genomic data marketplace), consistently bridging the gap between legal expertise and cutting-edge technology.
🤓 Latest Submissions
PatentFlow-AI Office Action Automation for Legal
PatentFlow AI automates patent office action responses using Opus + Qdrant, reducing attorney time from 15 hours to 3 hours while improving accuracy. THE PROBLEM: Patent attorneys waste 15 hours per office action on manual prior art research, argument drafting, and formatting. At $500/hour, this costs $7,500 per response and billions industry-wide annually. THE SOLUTION - 5-STAGE WORKFLOW: 1. INTAKE: Auto-classify USPTO office actions, extract rejections, claims, deadlines 2. UNDERSTAND: Qdrant semantic search across 10M+ patents finds precedents in seconds 3. DECIDE: Opus LWM generates legal strategies with confidence scoring 4. REVIEW: Attorney approves/edits via dashboard, maintains ethical oversight 5. DELIVER: Auto-format USPTO filings, submit via PAIR API, track deadlines TECHNICAL STACK: - Opus: Workflow orchestration and decision generation - Qdrant: Vector search (<50ms latency) - FastAPI + Next.js: Backend and dashboard - GCP/Kubernetes: Auto-scaling infrastructure - USPTO PAIR API: Filing integration EXPECTED RESULTS: ✓ 80% time reduction (15→3 hours) ✓ 50% cost savings ($7,500→$3,750 including platform) ✓ 10% better allowance rates ✓ Fortune 500 customers ✓ $225K annual savings per attorney (50 matters/year) UNIQUE ADVANTAGE: Built by Roger Hahn, USPTO attorney (Reg. 46,376) with 25 years experience who codes production AI. Unmatched founder-market fit combining domain expertise and technical execution. Validated with paying customers, $150K ARR. MARKET: $40B patent prosecution market, expandable to $200B legal automation. 450,000+ attorneys worldwide. WHY OPUS: Supervised automation with human oversight matches legal ethics requirements. Enterprise security and audit trails enable regulated industry deployment. WHY QDRANT: Semantic search across millions of patents enables real-time discovery impossible with traditional databases. On-premise deployment protects confidential client data.
19 Nov 2025
