Intake and Referrals Services
Intake and referral services triage people with legal problems to spot legal needs fast, capture key facts, and route people to the right help provider with warm handoffs and clear next steps.
JusticeBench shows you what’s possible. The Legal Help Commons shows you how to do it, with implementation playbooks, reference architectures, and working groups you can join today.
AI Projects around this Legal Issue
Chicago Voice AI Intake
A commercial voice-powered AI intake assistant that handled family law calls over a three-week pilot at Legal Aid Chicago, triaging callers, flagging domestic violence priority cases, and reducing out-of-priority screening outcomes.
Fetch legal issue classifer
FETCH is a lightweight, ensemble legal-issue classifier that helps intake systems classify a user's legal issue and route them to the right service, faster and at lower cost than a single large model.
Housing Intake Voice AI Line
A bilingual AI phone agent that conducts the full legal aid intake interview (100+ questions across prescreen and detailed intake), checks eligibility in real time, triggers human conflict review, and auto-populates LegalServer case management forms as the caller speaks: replacing hold times and manual data entry with immediate, 24/7 access.
Justice Connect Legal-Problem Classifier
An AI model—developed by Justice Connect with the University of Melbourne—that classifies people’s free-text descriptions of problems into legal issue categories, now available under a no-cost licence to eligible Australian not-for-profits.
Automated Intake Data Extractor
LegalServer's Automated Intake Mode allows organizations to upload scanned or digital documents and automatically extract structured intake data into their case management system.
Missouri Tenant Help Intake Screener
A hybrid rule-based and LLM-powered intake screener developed for Missouri Tenant Help to help determine legal aid eligibility more efficiently and consistently.
VLAS Voice Intake AI Line
A voice-first AI intake system for Virginia Legal Aid Society that conducts phone-based eligibility screening and full intake interviews, runs automatic conflict checks via LegalServer API, and surfaces completed intake summaries for paralegal review: aimed at replacing a two-hour average queue time with immediate AI-answered calls across a toll-free line handling 18,000 calls per year.
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