Kaia Legal
End-to-end eDiscovery intelligence that learns from every review.
From document intake through post-litigation analytics, Kaia Legal manages the entire eDiscovery lifecycle with AI confidence scoring. Every human correction makes the system measurably better — with full audit trails for court admissibility.
Full Lifecycle
Every stage of eDiscovery, powered by intelligence.
Intake
Document collection, custodian management, and preservation hold tracking.
Classification
AI-powered relevance and privilege classification with confidence scoring.
Review
Priority-ranked review queue with split-panel document inspection.
Production
Automated redaction, Bates stamping, and production set management.
Post-Litigation
Analytics on review patterns, cost tracking, and model improvement metrics.
Classification
Four categories. One confidence score. Full reasoning.
Highly relevant — key facts, admissions, smoking-gun content requiring immediate attorney review.
Potentially relevant — contextual information, background discussions supporting the case.
Not relevant — routine communications, administrative content that can be deprioritized.
Attorney-client privilege or work product — flagged for privilege review regardless of relevance.
The Learning Loop
Every correction makes the system smarter.
AI Classifies
Upload a document. The Intelligence Engine analyzes it and returns a classification with confidence score and detailed reasoning.
Human Corrects
Domain experts review classifications. If the AI got it wrong, they correct it — selecting the right answer and explaining why.
System Learns
Each correction creates a training data pair routed to the right learning layer. The model improves, measurably, every month.
Intelligence Engine
Every correction flows through the five-layer continuous learning system — from prompt fixes ($0.03, instant) to architecture evolution (monthly, human-required). The triage system routes each correction to the right learning mechanism automatically.
See the full Intelligence Engine architecture →Legal Differentiator
Court-admissible confidence.
In litigation, AI-assisted document review must meet the Daubert standard for scientific evidence. Kaia Legal is built from the ground up to satisfy that bar.
RRES
Published Benchmarks
Routing & Resolution Efficiency Scores published quarterly per vertical. Auditable, reproducible, and court-ready.
0.85
Confidence Threshold
Every classification below 0.85 confidence triggers mandatory human review. No automated decisions on ambiguous documents.
1st
First Vertical to Market
Kaia Legal is our flagship vertical — deepest model training, longest learning history, highest benchmark scores.
Explore Other Verticals
Same Intelligence Engine. Different industries.
See it work. Right now.
Classify a legal document. Correct the AI. Watch the learning loop in real time.