Insafdaar - AI-Driven Legal Case Management System
An AI-assisted legal case management platform designed for bilingual case intake, triage, advocate matching, document drafting, and appellate workflows.
Key Outcome
Architected for GCP/OCI
Full bilingual AI intake and appellate workflow, built and piloted end-to-end.
Pakistan's legal system faces severe backlogs and accessibility barriers. Citizens struggle to file cases without legal expertise, language barriers prevent participation in both Urdu and English, and entirely manual workflows create delays at every stage of adjudication and appeals.
Built the Insafdaar platform with a bilingual AI intake chatbot (voice + text in Urdu/English), automated NLP-based case triage and classification, semantic advocate matching using vector embeddings and cosine similarity, LLM-assisted legal document drafting, and a full case tracking dashboard - built for deployment on GCP/OCI.
Key Features
Bilingual AI intake chatbot with speech-to-text (Urdu & English)
Automated case triage, classification, and jurisdiction assignment
Semantic advocate matching via embeddings and cosine similarity
LLM-assisted legal document drafting and cause-of-action generation
Real-time case progress tracking with intelligent reminders
Role-based dashboards for clients, advocates, and administrators
AI-powered document upload, verification, and classification
Appellate workflow management with AI decision support
Technology Stack
Project Visuals
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