LexAssist: RAG-Powered Legal Document Intelligence That Recovered 40% Billable Hours
A retrieval-augmented generation pipeline over 50,000+ legal documents cut research time from 2 hours to 4 minutes per query and recovered 40% of previously unbillable associate time.
Published October 20, 2025
The Challenge
Associates at a 25-attorney regional law firm were spending an average of 60% of their workday searching, reviewing, and cross-referencing case files, precedents, and statutory documents stored across shared drives, email attachments, and a legacy document management system. The firm was billing clients for roughly 40% of the actual research time because partners capped billing at what felt defensible. Talented associates were burning out on work that did not build their expertise.
Our Solution
Sciensify built a RAG pipeline ingesting 50,000+ documents including case files, contracts, policy memos, and state statute PDFs. Documents were chunked with overlap-aware splitting, embedded using a legal-domain sentence transformer, and stored in a vector database with metadata filters for practice area, jurisdiction, and document date. A custom chat interface allowed associates to query in plain English and receive cited answers with page-level source references so every response was verifiable. We fine-tuned a small language model on the firm's internal document vocabulary and citation patterns, reducing hallucination significantly compared to a generic LLM baseline. The system integrated with the firm's existing document management system via API so newly uploaded files were indexed automatically within minutes.
The Results
“Associates who used to dread research assignments are now completing them in a fraction of the time with better accuracy. The ROI was undeniable after the first billing cycle.”
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