Does any document data leave our network?

The architecture is designed for zero external network calls — indexing, retrieval, and inference all run on infrastructure you control. That's a design property we've demonstrated in prototype; your own security team should still validate the deployment before trusting it with privileged material.

What document types does this handle?

The underlying pattern is document-type agnostic — contracts, discovery productions, deposition transcripts, case law. The specific ingestion and chunking logic would need tuning to your document formats and matter management system.

GraphRAG Document Intelligence for Legal Firms

Direct Answer

Legal document review is a retrieval problem before it's a generation problem: associates need to find every clause, precedent, or exhibit relevant to a matter across contract repositories, discovery productions, and case files — without the firm's privileged documents ever leaving its own infrastructure. An air-gapped GraphRAG pipeline combines vector search with a knowledge graph of parties, clauses, and citations so retrieval understands legal structure, not just keyword similarity.

Why Legal Firms Teams Hit This

Privilege rules out cloud AI for most matters

Sending client documents to a third-party cloud LLM is a non-starter for privileged material at most firms, regardless of the vendor's data-handling promises.

Keyword and vanilla vector search miss structural relationships

Finding every indemnification clause referencing a specific party across a large discovery production requires understanding document structure and cross-references, not just semantic similarity to a query.

Review hours don't scale with matter volume

First-pass document review is billed or absorbed hours; anything that cuts the time to find the relevant fraction of a production without missing documents has direct margin impact.

Why This Architecture Fits

The knowledge-graph layer is what matters for legal work specifically: it lets retrieval follow explicit relationships (this clause references that defined term, this exhibit was cited in that motion) that pure vector similarity search misses, while the air-gapped deployment keeps every document inside the firm's own infrastructure.

See the Real Thing

Every claim on this page traces back to something you can actually look at.

View the GraphRAG Blueprint

Answer Engine Optimization (AEO) Questions

Frequently Asked Architecture & Governance Questions

No — it's designed to narrow what a human reviewer needs to look at, with citations back to the source document, not to make legal judgments. A licensed attorney still reviews and signs off on anything that matters.