Case Study · RAG Systems · Legal

Internal Legal Knowledge Base with AI Search

Legal · RAG Systems · 4-week deployment

By Dnyanesh Chandewar, Founder, CyberCore Digital · November 2026

65%

Reduction in research time

4 wk

Full deployment

The Challenge

A legal team's institutional knowledge was locked in 12 years of unstructured documents, case notes and email threads.

What We Built

A retrieval-augmented generation (RAG) system over the firm's document archive
Cited answers, so every response points back to its source
Search that surfaces relevant precedent in seconds

The Result

Research time fell by 65%, and the full system was deployed in four weeks.

How the engagement ran

Like every CyberCore engagement, this one followed four steps: scope and success metric, build and integrate, test against real data, then launch and hand off. Delivery is at a fixed price agreed up front, the client owns the system, and 30 days of post-launch support are included. Related service: RAG consulting and development.

RAG Systems LlamaIndex pgvector Legal

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