Context-aware AI copilot for complex legal discovery workflows

Legal defense teams were losing hundreds of billable hours scanning thousands of unindexed documents during discovery workflows. Standard keyword searches failed to grasp semantic context.

We constructed a secure, context-aware AI copilot. We built a RAG pipeline utilizing advanced embedding models and a custom vector database, wrapping it in an intuitive, document-viewer UI.

Legal teams completed document discovery tasks 80 percent faster. The system retrieved high-relevance exhibits with zero data leakage, earning immediate pilot adoption from three major corporate law firms.