Juristi — Legal Document Intelligence & Structured Extraction
A legal document intelligence platform focused on retrieval, structured extraction, and analysis of legal judgments and documents. Juristi demonstrates AI-assisted legal search, document parsing, section extraction, party identification, and standardized JSON output workflows.
Problem
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.
What was built / modernized
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.
Value delivered
- 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 AI
- RAG
- Qdrant
- Document extraction
- Structured JSON
- Albanian legal documents
- Retrieval
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.