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Executive Summary
Legal work runs on two things a generic AI assistant is poorly suited to protect: privileged material that cannot leak beyond the firm, and citations precise enough to stand behind in front of a partner, a client, or a judge.
The Vertiva Answer
| Commitment | How it's engineered |
|---|---|
| Privilege stays in-boundary | Self-hosted generation and embedding models process content inside the firm's own environment |
| No answer without a citation | A guardrail refuses to serve any response that isn't backed by a citation |
| Cost attributed by matter | Per-tenant token budgets map cleanly onto matter and client billing codes |
Example: A litigation associate asks which prior cases address a specific procedural issue. The semantic engine surfaces conceptually related briefs; the lexical engine confirms exact case citations; the knowledge graph traces which cases were later overruled.
Conclusion
Legal work doesn't need an assistant that sounds confident — it needs one whose answers a partner can stand behind.