Our Success Stories Law Firm Cuts Research Time with LangChain.js Document Search
Law Firm Cuts Research Time with LangChain.js Document Search
How a law firm built a RAG pipeline with LangChain.js and Qdrant to make 50,000+ case files and precedent documents searchable in natural language — reducing the time associates spend on document research per matter.
The Challenge
A law firm with a substantial case history maintained case files, precedents, and legal opinions across multiple document repositories. Associates spent significant time searching manually for relevant precedents when preparing for new matters, and senior lawyers were frequently interrupted to answer questions that were already documented in completed case work. The volume of documents made keyword search unreliable — relevant content was missed when query terms did not exactly match document language.
Our Solution
Techseria built a RAG pipeline using LangChain.js and Qdrant vector database, ingesting over 50,000 case documents, precedents, and legal opinions from the firm's existing repositories. Associates can now query the knowledge base in plain English — 'find precedents where a force majeure clause was successfully invoked in a commercial lease dispute' — and receive accurate, sourced answers with citations back to the original case files. The system runs on Node.js, deployed on Azure with role-based access control ensuring associates only retrieve documents from cases they are authorized to access. New case documents are ingested automatically as they are added to the document management system. The entire build was scoped and priced from a 2-week Discovery Workshop and delivered in 6 weeks.
Key Benefits
- Deployed: RAG
- Docs Indexed: 50K+
- Delivery: 6 Wks
Legal Services & Professional Services Transformation: Key Success Metrics
Our innovative solution delivered tangible results and significant improvements for our client.
Research Time Per Matter
Associates locate relevant precedents in minutes rather than hours of manual document searching across repositories.
Documents Indexed
Over 50,000 case files, precedents, and legal opinions indexed into the Qdrant vector database and queryable from day one.
Answers with Citations
Every response references the originating document with a direct link — associates can verify the source immediately.
Role-Based Access Control
Document-level access control ensures associates only retrieve content from matters they are authorised to work on.
Continuous Ingestion
New case documents added to the DMS are automatically re-ingested into the knowledge base without manual intervention.
Full Delivery
From Discovery Workshop to production deployment in 6 weeks, including document ingestion, access control, and user testing.
Technologies Used
Testimonial
"We have years of case work sitting in document repositories that associates could never search effectively. Techseria built a system that makes all of it accessible in natural language — associates now find relevant precedents in minutes rather than half a morning. The sourced citations were important to us: the system points back to the original document so our lawyers can read the full context themselves."
Ben Jules
Managing Partner
Inspired by this success?
Start your own digital transformation journey with us.
Let's Talk