LegalTwin: Virtual PI Lawyer Agent

Trademarkia — AI Product & Experience Design
#AI Product Design
#Conversational Legal Tech
#Intake Workflow Automation
This project builds a 24/7 voice-driven personal injury intake agent that sounds and behaves like a real attorney. It listens to accident stories, asks the right follow-up questions, qualifies cases, and hands off high-value leads to the PI firm’s real lawyers.

PROBLEM SPACE
PI firms often advertise:

“Talk to a lawyer right now.”

…but callers rarely reach an actual lawyer. They usually talk to intake staff reading a checklist. This tone mismatch—between the advertised experience and the real first contact—creates distrust and drop-off.

OPPORTUNITY
LegalTwin bridges the gap between what PI firms promise and what callers actually experience:

  • Meets callers the moment they feel scared, overwhelmed, or alone
  • Sounds like the lawyer they believed they would reach
  • Transparently clarifies: “I’m an AI assistant, not a licensed attorney”
  • Guides callers through the same structured questions a PI attorney would ask
  • Flags strong liability, injury, and damages signals
  • Books real consultations or transfers callers instantly

This finally aligns the first contact experience with the expectations set by PI advertising — without over-promising or misleading.

CASE QUALIFICATION LOGICS
Start Call
Is this a potential personal injury incident?  
A. Accident Snapshot Clear incident? Recent enough?      
B. Injury IndicatorsAny injuries? Severity? Treatment?
C. Liability SignalsAt-fault party? Evidence?
D. Damages Potential Work impact? Bills? Long-term effects?
      Priority A      High injury + strong liability + high damages
Immediate attorney connection
Priority B Moderate factors across criteria
Same- or next-day consult
      Priority C       Low injury / unclear liability / low damages
Nurture / general info
Decline / Edge Case
Non-PI, time-barred, no injury
Soft decline + info

SYSTEM STRUCTURE

LegalTwin runs on a modular, fault-tolerant voice intelligence pipeline.

Incoming calls are routed through Twilio/SIP before hitting the AI Gateway. The system then orchestrates speech recognition, embedding generation, LLM reasoning, and TTS responses in real time.

A call analysis service evaluates injury details and liability patterns while storing session summaries and signals for attorney review. Background workers handle follow-ups, SMS, emails, and CRM sync. All components scale independently to handle surges in call volume.

UPDATE IN PROGRESS....