Case StudyAI AgentsLegal Tech
ScaleTeam · Case Study

Legal Document Triage Agent

ClaudeLangGraphPostgresAWS Textract
60%Reduction in paralegal hours per case100%Citations traceable to source18sAverage doc-to-route time
Chapter 01The Brief

Buried under
inbound documents.

The firm was receiving thousands of inbound documents per month — contracts, NDAs, discovery — all manually triaged by senior paralegals.

Cycle time was variable, the most expensive humans were doing the cheapest work, and audit trails were patchy.

Chapter 02The Build

A traceable,
multi-step agent.

  1. 01

    Email + portal intake → OCR (Textract) → normalized JSON envelope.

  2. 02

    Classifier graph with confidence thresholds + human-in-the-loop fallback.

  3. 03

    Clause extraction with citations back to the source page + character range.

  4. 04

    Routing rules engine that respects attorney load + matter ownership.

Chapter 03The Outcome

Hours back,
audit clean.

01
60%
Paralegal hours reclaimed
02
18s
Median doc-to-route time
03
100%
Citation-traceable extractions
Ch 04Start Something

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