At WOWERI, we've built an AI system that matches legal clients with the best-fit attorneys across 40+ countries. Here's how our matching engine works and what we've learned building it.
The Challenge
Legal matching is fundamentally different from other marketplace matching problems. You're not matching a rider with a driver — you're matching a person with a complex legal problem to an attorney with the exact right combination of jurisdiction, specialization, language, experience level, and pricing.
Get it wrong, and the consequences are severe — deportation, financial loss, or worse.
Our Approach
We process each client request through three layers:
Layer 1: Jurisdiction Filter — Automatically identifies which legal jurisdictions apply. This eliminates 90% of attorneys immediately.
Layer 2: Specialization Scoring — Each attorney has a specialization profile built from their case history and credentials. We score each remaining attorney against the client's specific needs.
Layer 3: Fit Optimization — The final layer considers language match, pricing compatibility, availability, and historical success rates to select the top 2-3 recommendations.
The Scale
- 488+ distinct legal service types
- 17 practice areas
- 163+ partner offices in 40+ countries
- 3 languages (English, Russian, Ukrainian)
- 100,000+ clients served since 2010
- 2,500+ cases closed
Tech Stack
React, TypeScript, and Supabase. Team of 65+ developers.
Key Lessons
- Domain expertise > algorithm sophistication. Our best improvements came from working with practicing attorneys.
- Quality control is non-negotiable. Every attorney is independently licensed and carries professional liability insurance.
- Multi-jurisdictional legal tech is incredibly complex. Every country has different bar requirements and regulatory frameworks.
WOWERI LLC is headquartered in Miami Beach, FL (LLC# L25000122347). Learn more at woweri.com.
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