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Legal eDiscovery Agent

Privilege review, responsiveness coding, redaction — at human-quality, machine-speed.

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Legal eDiscovery Agent
The Scenario

The problem
being solved

eDiscovery is the most expensive line item in modern litigation. Document review costs scale linearly with corpus size, and reviewer fatigue degrades quality past hour four. Current 'AI-assisted review' tools generate work for reviewers rather than reducing it — every classification still gets human-validated.

The Solution

How this
agent works

We build an eDiscovery agent tuned to your matter type that codes documents for responsiveness and privilege at near-attorney quality, with calibrated confidence so the human review pile is the small uncertain tail. Automated redaction for PII, privileged terms, and protective-order categories. Audit trail per document, defensible for production.

How It's Built

Custom-trained per matter family. Typical deployment: 8 weeks for first matter, then 1-2 weeks per subsequent matter family.

Stack
LangGraphAnthropic ClaudeCustom classifier (privilege/responsiveness)OCR pipelineS3/Relativity integrationAudit log warehouse
Projected Impact

A litigation team running a multi-million-document review pipes the corpus through the agent before reviewer assignment. High-confidence non-responsive and clearly privileged documents are auto-coded with audit logs; the uncertain middle goes to attorneys. The reviewer team works on a fraction of the original volume with the same defensibility posture.

MetricBeforeAfter
Documents requiring attorney review100% of corpusThe uncertain tail (typically 10-25%)
Privilege miss rate vs. attorney baselineReviewer fatigue dependentCalibrated, monitored, defensible
Redaction turnaround for production setsManual, multi-passAutomated with attorney spot-check
Capabilities
  1. 01

    Domain-trained

    Tuned on your team's specifics, not a generic out-of-the-box model.

  2. 02

    Audit-ready

    Every output cites its sources, every decision logs its inputs.

  3. 03

    Senior-built

    Architected and shipped by senior engineers; no juniors learning on your matter.

  4. 04

    Integrated, not bolted on

    Plugs into your existing review platform (Relativity, etc.), not a parallel tool.

Build this agent
for your workflow.

We custom-build each agent to fit your data, your rules, and your existing systems.

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