Case Study: TechCorp Global
Reducing Legal Contract Review Time by 85% with Session-Isolated RAG
How a Fortune 500 company deployed NovusEngine to securely query sensitive HR and Legal documents without data leakage.
Impact Metrics
85%
Reduction in review time
0%
Data hallucinations on citations
$2.4M
Annual projected savings
Tech Stack
- Next.js 14 (App Router)
- Pinecone Vector Database
- OpenAI GPT-4o
- LangChain TS
The Challenge
TechCorp's legal team was drowning in documentation. Reviewing a standard Master Services Agreement (MSA) took an average of 4 hours per lawyer. The documents were scattered across SharePoint, Google Drive, and local servers, making keyword search impossible.
Furthermore, strict data privacy regulations meant they couldn't simply paste these documents into public ChatGPT. They needed a secure, isolated environment where data wouldn't be used to train models.
The Solution
We implemented NovusEngine with strict Session-Based Isolation.
- Parent-Child Chunking: Instead of simple text splitting, we indexed "Parent" documents to preserve context, ensuring the LLM understands the full clause, not just a sentence fragment.
- Session Isolation: Every upload is tagged with a unique `sessionId`. Retrieval queries are strictly filtered by this ID, ensuring no cross-contamination between users.
- Citation Engine: The system forces the model to provide specific source citations, allowing lawyers to verify answers instantly.
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