All Case Studies
Conversational AILegal Intake Automation

A secure AI intake platform for Maryland legal leads.

One Smart Sheep engineered and deployed a secure, web-accessible AI Receptionist for Scheuerman Law, a Maryland law firm. The platform modernized after-hours intake, caller qualification, live transfers, scheduling, attribution, and team notifications.

Scheuerman Law AI Receptionist dashboard showing a structured, privacy-safe personal injury intake

20 hrs

After-hours legal intake coverage

6

Integrated operations systems

186 ms

Tested p95 source-attribution lookup

12/12

Deployment regression scenarios passed

Production window configured Monday through Thursday, 5:00-10:00 PM Eastern, with every AI call preserved as a reviewable lead record.

The Challenge

Scheuerman Law needed a reliable after-hours intake platform for Maryland legal leads, not another voicemail workflow.

High-value Maryland DUI and personal injury calls were arriving outside office hours. A standard voicemail could record a message, but it could not qualify the matter, verify contact details, preserve attribution, or route the caller through the correct legal intake path.

The firm required separate workflows for new and existing clients, structured matter-specific questioning, screened attorney transfer logic, and a controlled fallback to callback requests or consultation scheduling.

CallRail attribution, AI transcripts, recordings, notifications, Calendly scheduling, and transfer outcomes also needed to be unified into one secure, centralized operational dashboard.

Why It Matters

The deployment had to function as a legal intake operations platform, not a chatbot.

The system needed to answer calls, collect case-specific facts, preserve the caller's original identity, route the matter correctly, and leave the office with a complete record even when a transfer or scheduling attempt did not complete.

Results

What changed.

WorkflowBeforeAfter
Lead response Voicemail and next-day follow-up Secure AI Receptionist coverage during the approved after-hours window
Contact capture Unstructured caller message Verified name, callback number, and client-aware contact handling
Matter qualification Generic notes Structured DUI, personal injury, new-client, and existing-client workflows
Handoff Unscreened transfer Screened live-transfer orchestration with callback and scheduling fallback
Attribution Source could be lost between platforms CallRail source captured at call initiation and retained as immutable lead data
Oversight Recordings and transcripts spread across vendors Centralized dashboard with summary, transcript, recording, and quality checks
Scheuerman Law AI Receptionist dashboard showing a structured, privacy-safe personal injury intake
The AI Receptionist dashboard brings structured intake fields, lead source, call status, and recordings into one reviewable record.
What We Built

One legal intake platform, eight deployed capabilities.

  1. 01

    Secure AI Receptionist Routing

    Engineered new-client and existing-client routing so each caller enters the correct intake workflow without unnecessary questions.

  2. 02

    Matter-Specific Legal Qualification

    Deployed structured DUI and personal injury questioning while routing other matter types into controlled callback-request handling.

  3. 03

    Screened Live-Transfer Orchestration

    Configured the attorney handoff so the recipient is only connected after accepting a real waiting caller.

  4. 04

    Calendly Consultation Scheduling

    Integrated consultation availability and booking for eligible DUI and personal injury callers, with callback fallback if scheduling fails.

  5. 05

    Staff Alerting and Email Summaries

    Delivered SMS alerts and full email summaries with caller identity, matter type, incident details, callback number, and direct lead URL.

  6. 06

    CallRail Source Attribution

    Captured the tracking number and marketing source at call initiation, then matched it to the AI call without delaying the live conversation.

  7. 07

    Centralized Lead Review Dashboard

    Converted each call into a centralized record with structured fields, transcript, audio player, summary, source, tool outcomes, and direct lead URL.

  8. 08

    Production Safeguards and Monitoring

    Added fail-open integration behavior and regression checks for routing, qualification, transfers, scheduling, and notifications before deployment.

Why It Holds Up

Every call now produces a secure, reviewable operational record.

The live call remains the primary workflow. Attribution is captured asynchronously, the original caller identity is preserved, failures return to a safe callback path, and post-call notifications link the team back to the full operational record.

What We Used

Technology deployed.

ElevenLabs Conversational AI Twilio Voice and SMS CallRail Attribution Cloudflare Workers Cloudflare D1 Calendly Scheduling Python Automation FastAPI

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