AI-Powered Evidence Intelligence Platform

Turn Discovery Evidence Into Actionable Intelligence

Upload your evidence. We build the ontology. AI does the heavy lifting. Your team gets structured insights, communication patterns, and privileged content flagging — in minutes, not months.

10x
Faster Evidence Review
AI-First
Context Management Stack
Custom
Ontologies Per Matter
Secure
Multi-Tenant Isolation
The Problem

Discovery Is Drowning in Data

Modern litigation generates terabytes of digital evidence — Slack exports, email archives, document repositories, chat logs. Paralegals spend weeks manually reviewing. Attorneys miss critical communications. Privileged content slips through.

The old approach doesn't scale. You need a system that understands your evidence at a structural level.

Weeks of Manual Review

Teams burn hundreds of billable hours sifting through exports line by line, with no guarantee of completeness.

Missed Communications

Key exchanges between parties get buried in thousands of channels. Critical patterns go undetected.

Privilege Exposure Risk

Without systematic identification, attorney-client privileged content risks being produced to opposing counsel.

How It Works

From Raw Evidence to Structured Intelligence

Four steps. That's all it takes to transform a data dump into a navigable, queryable, AI-analyzed evidence set.

01

Create a Matter

Set up your matter and upload evidence — Slack exports, email archives, document collections. We handle multi-GB datasets.

02

We Structure It

Our platform parses, normalizes, and indexes your evidence into structured data — users, channels, timelines, threads, attachments.

03

Build the Ontology

Define the knowledge framework for your matter — key custodians, topics, privilege markers, relevant date ranges. AI refines it as you go.

04

Get Intelligence

AI applies your ontology to surface insights — communication patterns, privilege flags, key timelines, sentiment shifts — all queryable.

AI Copilot — Matter #2024-0892
you: Find all communications between Sarah Chen and Mike Torres about the Meridian contract after June 2024
ai: Found 47 messages across 3 channels (general, legal-review, dm). Key findings:

! 12 messages flagged as potentially privileged (cc: external counsel)

Peak activity: June 15-22, coinciding with contract amendment deadline

Sentiment shift detected on June 18 — tone changes from collaborative to adversarial

AI-First Architecture

Ontologies Meet Evidence

An ontology is a structured knowledge framework — it defines the entities, relationships, and concepts that matter for your case. Instead of generic keyword search, your AI copilot understands who talked to whom, about what, when it happened, and why it's relevant.

  • Define custodians, topics, date ranges, and privilege markers specific to your matter
  • AI continuously refines the ontology as it processes evidence
  • Context management server keeps the AI grounded in your actual evidence — no hallucinations
  • IDE-style interface for browsing evidence like a codebase — channels, threads, timelines

Your Evidence Has Answers.
Let's Find Them.

Stop drowning in discovery exports. Start getting structured intelligence from your evidence — backed by custom ontologies and an AI stack purpose-built for legal.

Secure multi-tenant platform. Your data stays yours.