Case Study
Lawyer listing platform with Q&A for lawyers
A legal-tech SaaS platform connecting clients with specialized attorneys through intelligent matchmaking, secure communication, and structured case workflows. It includes secure payments, real-time consultation features, and operational dashboards for legal teams.
Legal clients struggle to identify the right attorney quickly, while legal firms need structured case intake, secure communication, and predictable operations. Manual matching and unstructured follow-ups slow case onboarding and reduce resolution speed.
I built and scaled Qanooni as a legal-tech platform with intelligent lawyer-client matching, secure Stripe-based payment flows, and real-time communication capabilities. The platform combined operational reliability with searchability and performance, helping legal teams move from discovery to consultation faster.
5K+
Matches
Lawyer-client matching sessions completed
95%
Satisfaction
User-reported service quality
99.9%
Operational Uptime
Production reliability
+40%
Case Velocity
Faster case resolution
500+
Lawyers Onboarded
Active legal professionals in platform flows
$2M+
Revenue Impact
Business throughput supported by platform operations
The platform uses a modern SaaS architecture with a Next.js/TypeScript frontend and Node.js backend services on PostgreSQL. It includes JWT-secured access, Stripe payment processing, WebRTC-ready communication flows, and Elasticsearch-backed discovery to improve legal matching speed and consultation readiness.
Challenge
Building trustable lawyer-client matching across diverse legal needs
Solution
Designed an intent-aware matching model with structured profiles, specialization filters, and relevance scoring to improve connection quality.
Challenge
Implementing secure payment and legal interaction workflows
Solution
Integrated Stripe for secure payment handling and implemented role-aware access controls with strict authorization boundaries.
Challenge
Improving speed of legal onboarding and case progression
Solution
Built guided workflows, searchable case states, and communication paths that reduced case turnaround time and improved overall user satisfaction.
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