Juristi — Legal RAG & Structured Legal Extraction
A legal document intelligence system for retrieval, structured extraction, and citation-grounded answers from Albanian/Kosovo legal material.
Challenge
Legal teams need fast, defensible answers grounded in source material. Generic LLM answers are not auditable, and important structure — parties, decisions, obligations, appeal rights — is buried in unstructured documents.
Solution
We built a retrieval and extraction pipeline over Albanian/Kosovo legal documents: ingestion and parsing, embeddings and vector search, structured JSON extraction for legal entities and procedural history, and citation-grounded answers with a human review and correction workflow.
Business value
- Answers grounded in source material with citations, not opinion
- Structured legal data unlocked for search, filtering, and analytics
- Human-in-the-loop review keeps high-value cases supervised
Technologies
- Legal RAG
- Structured Extraction
- Vector Search
- Citations
- Python
- FastAPI
- PostgreSQL
Relevant roles
- AI Integration Engineer
- Python Backend Engineer
- Data Engineer
Next step
Discuss a similar project
We can adapt this pattern to your systems and provide the engineers to build it. Reach us at info@inovativi.com.