Litigation Intelligence
That Attorneys Can Trust

Verifiable AI for
high-stakes litigation

Graph-based knowledge extraction, Bayesian reasoning, and game-theoretic modeling combine to deliver the reliability, confidentiality, and strategic intelligence litigation demands.

HOW IT WORKS

Three-Phase Architecture from chaos to strategy

01

Extract & Verify

Transform discovery into structured knowledge

Graph-based extraction builds temporal event sequences from depositions and discovery materials. Every entity, relationship, and timeline receives source attribution—no claims without provenance.

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02

Analyze & Model

Bayesian reasoning meets game theory

Probabilistic modeling generates motion outcome predictions and identifies critical documents through evidence weighting. Tripartite simulation models client strategy, opponent arguments, and judicial reasoning simultaneously.

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03

Generate Strategy

Court-ready deliverables with complete audit trails

Produce briefs and strategic memoranda with traceable inference paths from conclusions to original evidence. Meets professional standards other AI systems cannot.

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Why Standard AI Fails
in professional practice

Existing legal AI tools share three architectural limitations that make them unsuitable for high-stakes litigation:

Mathematical Hallucination - Transformer-based models exhibit provable hallucination properties inherent to their architecture. Our graph-based approach eliminates this at the source.
Confidentiality Architecture - Public API terms offer no privilege guarantees. We built zero-logging infrastructure with private deployment options from day one.
Strategic Blindness - Current tools process documents but cannot formulate strategy. Our game-theoretic modeling predicts outcomes and optimizes tactical decisions.
AI Dashboard Interface

$4.2B Market Opportunity
in legal AI infrastructure

Revenue Model

  • $15M Projected ARR Month 24
  • $120K Average Contract Value
  • 75% Gross Margins Target

Unit Economics

  • <3.2 Months CAC Payback
  • $2.4K Monthly Retention
  • 95% Gross Dollar Retention

Market Position

  • $4.2B TAM in legal AI
  • First-mover in privilege infrastructure
  • Category-defining technology

Backed by leading technologists and litigation experts

Advised by Princeton Operations Research faculty and AmLaw 100 litigation partners. Built with three years of mathematical rigor and real-world litigation complexity.

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