Law firm knowledge management with case law and precedent search
A mid-sized law firm deployed an AI research assistant that searches through 10+ years of internal case files, legal briefs, and client documentation, providing instant answers with exact paragraph citations. MCPner.com's crawler processed 15,000+ documents while maintaining attorney-client privilege and access controls.
The Problem
Junior associates spent 40% of their billable hours searching through historical case files, legal memos, and research documents stored across SharePoint and local drives. The firm had no centralized search across different matter types. Senior partners couldn't efficiently leverage decades of institutional knowledge when advising new clients.
How MCPFlow Solved It
MCPner.com's website crawler indexed the firm's internal SharePoint site, local document repositories, and public legal research databases. The system automatically processed PDFs, Word docs, and case files, creating searchable chunks with metadata preservation. Per-matter access controls ensured attorneys only accessed cases they were authorized to view. The MCP server was deployed with role-based security tokens, allowing different search scopes for partners, associates, and paralegals.
MCP Stack Used:
Measurable Outcomes
Research time decreased 58% as attorneys found relevant precedents and arguments in seconds instead of hours. Billable hour productivity increased as associates focused on analysis rather than document hunting. The firm won 3 major cases in the first quarter by discovering obscure but relevant precedents in their historical files that manual search had missed.
Key Metrics:
Our institutional knowledge was trapped in thousands of files. Now Claude can surface the exact precedent we need from a 7-year-old brief in under 10 seconds.
Jennifer Walsh, Esq.
Managing Partner, Walsh & Associates
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