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CASE STUDY · LEGAL SERVICES

INTELLIGENT DOCUMENT CLASSIFICATION | Structured Data From Every Case Document

Turning intake packets, contracts, discovery, and filings into classified, structured data ready for case work

Client
A legal team processing high volumes of case documents
Industry
Legal Services
Engagement
Product build
Services
Full-stack build · AI extraction
Tech & Compliance
AI classification · Access controls

BACKGROUND

A high-volume legal practice receives intake packets, contracts, discovery productions, court filings, and correspondence in varied formats from clients, courts, and opposing counsel.

THE OPPORTUNITY

Paralegals and intake staff had to identify, route, and key every document before matter work could begin. As caseloads grew, triage consumed more expert time, delayed casework, and made capacity scale linearly with staffing.

OUR APPROACH

Ajaia built the engine in four stages, each grounded in the documents the practice actually receives.

THE SOLUTION

An intelligent engine that classifies every case document and extracts its data, no manual sorting required.

Any-Document Classification. Ingests intake packets, contracts, discovery documents, filings, and letters, and classifies each one automatically.
Structured Data Extraction. Pulls parties, dates, deadlines, and case details from each document into clean data ready for matter systems.
Built for Legal Workflows. Categories and extracted fields adapt to the practice's own document types, from intake to production sets.

RESULTS

The practice automated document intake end to end, enabling the same team to process more volume: 95% of all sorting and data entry is now done automatically. Inbound documents are now classified on arrival, with the engine automatically recognizing legal document types, extracting key fields into structured data, and routing each record to the correct matter file. With 25 hours per week saved, paralegals and clerks can spend more of their time on substantive casework. Rising caseloads no longer create proportional intake backlogs or require additional headcount.

95%
legal document types classified automatically
70%
fewer document-routing exceptions and misfiles
25+
hours per week returned to substantive casework
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