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Case Study · Legal Services

Private On-Premise Legal Contract Review & Precedent Matching

Air-gapped Llama 3 model deployed inside private Azure UK cloud tenant delivering 60% faster lease audits with 100% SRA client data compliance.

Primary Outcome

60% reduction in initial lease audit times while maintaining 100% SRA compliance.

Background

The Challenge

Junior fee-earners were spending 15+ hours weekly manually vetting commercial lease agreements against firm safety standards. Third-party cloud tools like ChatGPT were strictly barred due to Solicitors Regulation Authority (SRA) client data rules.


Engineering Solution

The Solution

Deployed a private open-weight LLM on an air-gapped Azure UK tenant connected to a dual-pane contract review workspace.

Private On-Premise LLM

Air-gapped Llama 3 model with RAG querying the firm's private historical document vault with zero external API calls.

Contract Review Workspace

Dual-pane React document editor allowing lawyers to view contract drafts alongside risk flags and suggested rewrites.

Air-Gapped Cloud Tenant

Hosted on a private Azure UK cloud environment ensuring 100% compliance with SRA client data privacy rules.


Impact

Key Outcomes

60% reduction in initial lease audit times.

100% SRA client data compliance.

Zero prompts or client documents ever sent to public cloud APIs.

Dual-pane interactive document editor with risk flagging.

Case Study Overview

Client Profile

ClientLONDON COMMERCIAL LAW FIRM
IndustryLegal Services
CategoryCloud Architecture & API Infrastructure

Technology Stack

Llama 3Private Azure UKReactPythonvLLM
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