Solutions/Law Firms

Teaching AI agents how your firm actually practices

Legal AI fails on firm-specific knowledge: your precedents, your client conventions, your billing patterns, your matter histories. That expertise took decades to build. Phyvant captures it automatically from your attorneys' daily work.

Talk to our Law Firms team

Your firm's knowledge, structured

Phyvant organizes your institutional knowledge into layers that AI agents can query at inference time. Each layer compounds over time as your attorneys work.

Layer 4

Practice Group Knowledge

Conventions, preferred clause language, and institutional knowledge that junior associates take years to learn. Captured automatically from senior attorney workflows.

Layer 3

Client Relationships

Which clients prefer which billing structures, communication styles, and strategic approaches. Relationship intelligence that normally lives only in partner memory.

Layer 2

Matter History

Decades of legal work product structured into searchable precedent chains. AI agents surface relevant prior work instead of starting from scratch.

Layer 1

Precedent Database

Battle-tested clauses, winning arguments, judge-specific strategies. The institutional memory of your firm, structured and queryable at inference time.

HOW IT WORKS FOR LAW FIRMS

Built for legal workflows

Client & Matter Resolution

The same client entity appears across conflicts systems, billing, and matter management with different identifiers. Phyvant reconciles client identities and builds complete relationship maps that respect ethical walls.

Work Product Intelligence

Decades of legal work product in your DMS. Phyvant structures matter histories, precedent chains, and legal reasoning so AI agents can surface relevant prior work instead of starting from scratch.

Practice Group Knowledge

Each practice group has conventions, preferred clause language, and institutional knowledge that junior associates take years to learn. Phyvant captures this expertise automatically from senior attorney workflows.

Contract Analysis

Your attorneys know which clauses are standard, which are non-negotiable for specific clients, and which represent real risk. The knowledge graph gives AI agents this context at inference time.

Built for attorney-client privilege

On-premise deployment with matter-level security. Every AI interaction auditable. Ethical walls enforced at the knowledge graph level.

Matter A
Acme Corp (Client)
Doe, Jane (Witness)
Patent #12345
IP License Agreement v3
Ethical Wall
Matter B
Beta Holdings (Client)
Smith, John (Counsel)
Merger Agreement Draft
Due Diligence Report
Matter-level access controls
Ethical wall enforcement
Full audit trails
<1 sec
Precedent resolution time
97%
Accuracy after 6 months
99.8%
Production uptime

Ready to see Phyvant work on your firm's data?

We connect to your DMS, matter management, and billing systems and show results in the first week. No documentation phase. No consultants.