PLATFORM

Map the Hidden Connections Across Your Legal Knowledge

Interactive models turn flat document lists into living networks of cases, statutes, parties, and concepts. Trace how a legal principle evolves across decades, query your knowledge in structured or plain language, and surface the connections linear search leaves behind.

The challenge

Legal Knowledge Is Connected. Your Tools Treat It as Isolated.

Legal reasoning is about connections: how cases cite each other, how statutes relate, how parties interact, and how principles evolve across jurisdictions and decades. Yet most legal databases present knowledge as flat lists of individual documents, leaving the relationships, the most valuable layer of intelligence, invisible. Missed connections cost litigators winnable arguments, hide conflict-of-interest risks between parties, and break compliance analyses that depend on statutory dependencies.

Standard relationship types

Built-in knowledge graph types

Connected data sources

Capabilities

Tools for graph-powered legal intelligence

Graph Library

Build and query multiple knowledge graphs, each with its own entities, relationships, and sources. Focus one on a matter, a practice area, a regulatory domain, or the entire firm.

Entity Registry

A structured catalog of every person, organization, case, statute, document, and court in your graphs, each with properties, source documents, and status tracking.

Relationship Mapper

Define and discover links like cites, represents, supersedes, governs, and amends. Add custom, weighted, directional, and time-bound relationships, or let document analysis find them automatically.

Interactive Visual Explorer

Explore graphs on a node and link canvas where size signals importance and color signals type. Click any node to expand its neighborhood, then zoom, pan, and filter by type or time period.

Visual Query Builder

Compose path queries by choosing a source entity, a relationship, a target, and a hop limit, with a live Cypher-like preview. Run them in plain language and view results as tables or graphs.

Connected Data Ingestion

Pull from document stores, CRM systems, court records, email, regulatory feeds, and manual uploads. Map source fields to entities and set real-time, hourly, or daily sync schedules.

Graph Analytics

Measure density, average path length, and degree distribution to reveal hubs, detect communities, and flag isolated nodes that point to gaps in your data.

Conflict Network Mapping

Visualize party relationships across every matter to expose ties between current clients, former clients, opposing parties, and co-counsel that traditional conflict searches miss.

Temporal Graph Timeline

Trace how entities and relationships change over time, replaying when a precedent was cited, superseded, or amended so you can see how a legal principle moved across decades.

How it works

From raw documents to a living network

Connect your sources
Ingest from document stores, CRM systems, court records, email, regulatory feeds, and manual uploads. Map source fields to entities and set real-time, hourly, or daily sync schedules.
Build entities and relationships
Register persons, organizations, cases, statutes, documents, and courts, then define links like cites, represents, supersedes, and amends, or let document analysis discover them automatically.
Explore the network
Open the interactive canvas where node size signals importance and color signals type. Click any node to expand its neighborhood, then zoom, pan, and filter by entity type or time period.
Query and analyze
Compose path queries in plain language or a visual builder, then run graph analytics to surface hubs, detect communities, measure path length, and flag isolated nodes that point to data gaps.

Connects across the platform

Research: citation networks enhance research discovery
Litigation: case and party graphs inform strategy
Compliance: regulatory dependency networks drive analysis
Documents: entities populate from your document store
Deposition: entities extracted from transcripts feed the graphs
Virtual Courtroom: session transcripts generate entity data

Trust and security

Built to the standard your matters demand.

Human on the loopA qualified person reviews and owns every critical decision

Source-grounded outputsEvery answer links back to its source to verify

Encryption in transit and at restConfidential data stays protected end to end

Role-based accessScoped, least-privilege access by design

Your data stays yoursNever used to train shared models

Full audit trailTransparent record of who saw what, when, and why

FAQ

Questions legal teams ask.

Every matter is encrypted in transit and at rest, isolated per tenant, and governed by role based access controls. Your data is never used to train shared models, and every action is captured in a full audit trail so confidentiality obligations are upheld.

Yes. Every extracted field and recommendation carries a confidence score, and anything below your threshold is routed to a person for review before it moves forward. The AI assists the work, it does not replace your judgment.

Answers are grounded in your sources and returned with citations, confidence ratings, and a full audit trail, so your team can trace every conclusion back to the document or precedent it came from.

Your data remains yours. It is never used to train shared models, and access is scoped by role so people see only the matters they are assigned to.

Yes. The platform connects across intake, matters, research, compliance, and analytics, and integrates with the document and practice systems your firm already relies on.

Most teams are running within days. You can import existing matters and documents, and the platform classifies and structures them automatically so value shows up from the first week.