From a visitor’s story to a structured case profile.

This front-end prototype demonstrates a simulated AI Lemon Law Case Assistant: natural-language intake, targeted follow-up questions, source-first guidance, document intelligence, a structured case profile, and human handoff.

Conversational intakeStarts with the visitor’s own words.
Dynamic qualificationExtracts known facts and asks only what is missing.
Source-first guidanceSimulates trusted legal information with citations.
Document intelligenceSimulates repair-order extraction and timeline building.
Prototype scope: No real OpenAI API, live legal search, VIN lookup, recall API, OCR, database, or data transmission is used. These are simulated for presentation so the product concept can be evaluated before production development.
Describe your vehicle problem

LemonLaw101 Case Assistant

Simulated AI Case Intake

Educational demo • Not legal adviceStart

Simulated Admin & Operations Dashboard

Live CasesState, vehicle, defect, key dates, missing information, and status.
Conversation HistoryFull chat transcript with extracted structured case facts.
DocumentsRepair orders plus extracted dates, mileage, diagnosis, and repairs.
Source TrailApproved knowledge sources and citations used by the assistant.
Lead PipelineNew → Incomplete → Review → Contacted → Converted.
AnalyticsChat starts, completions, document uploads, qualified leads, and conversions.