Case StudiesLegal Technology

Legal AI Chatbot: Legal Access at 85% Lower Cost

AI-Powered Legal Consultation at 85% Lower Cost

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Client

InPro AI

Headquarters

Los Angeles, United States

Timeline

5 months

Technology

CONSUMER LEGAL ACCESS

Legal AI Chatbot Development for Consumers case study by EdgeFirm

85%

cost reduction vs traditional consultation

50,000+

consultations provided (first year)

92%

user satisfaction rate

The Problem

Legal AI Chatbot Development: Legal Advice at 85% Lower Cost

InPro AI delivers legal advice at 85% lower cost than a traditional attorney. It is an AI-powered legal consultation platform built to bridge the justice gap, the difference between legal needs and available legal services that affects 80% of low-income Americans and 50-70% of middle-income Americans.

Legal consultation costs $200-500/hour, putting proper legal guidance out of reach for millions. We built a platform where anyone can describe their legal situation, receive immediate analysis and guidance, understand their rights and options, and be connected to human attorneys when needed, all at $50-75 instead of $300-500.

Client testimonial

We founded InPro AI with a mission: make legal guidance accessible to everyone, not just those who can afford $400/hour attorneys. EdgeFirm understood this vision immediately and built a platform that balances AI capability with legal responsibility. They worked closely with our legal consultants to ensure the AI provided helpful guidance while staying within ethical bounds. The results speak for themselves: 50,000+ people have received legal guidance they couldn't otherwise afford. This platform is changing lives.

Michael Torres, JD

Scope of work: 6 capabilities carried the build

Design and deploy a responsible AI legal consultation platform that provides accessible guidance while staying within ethical bounds of legal practice.

01

5-layer AI architecture for legal triage and guidance

02

RAG system with 50-state legal knowledge base

03

Jurisdiction-aware legal reasoning engine

04

Ethical safeguards and attorney escalation system

05

Document generation and form assistance

06

Attorney portal for case referrals

The stack behind it

GPT-4, Claude, LangChain, React, FastAPI, Pinecone

LLM & Analysis

GPT-4 for legal analysis, Claude for document review

Orchestration

LangChain for multi-step legal reasoning workflow

Knowledge Base

Pinecone vector database with 50-state legal content

Backend

FastAPI (Python) with PostgreSQL for case management

Frontend

React + TypeScript with real-time chat interface

Infrastructure

AWS (EC2, S3, RDS), Redis, CloudFront CDN

Security

End-to-end encryption, GDPR compliant, audit logging

Our development process

2 phases, a live demo every week.

Jurisdiction-Aware Legal Reasoning

Laws vary dramatically by state, county, and city. We built a hierarchical jurisdiction system that retrieves applicable rules at all levels (federal → state → county → city), handles conflicts (more specific law wins), and filters by effective date. Result: 95% accuracy in applying correct jurisdiction-specific rules.

Preventing Unauthorized Practice of Law

We implemented language templates that always present multiple options rather than directives, complexity thresholds that trigger attorney escalation, mandatory disclaimers on every response, and continuous attorney review of 10% of consultations monthly. Result: Zero ethics complaints in first year.

What changed after launch

5 measured outcomes, still holding in production today.

85% Cost Reduction

Average user paid $65 vs $350 for traditional attorney consultation, saving $285 per consultation.

50,000+ Consultations

First year volume with 4,200 monthly consultations. 85% said they wouldn't have gotten help otherwise.

92% User Satisfaction

94% of guidance rated accurate by attorney review. 88% rated guidance as clear and understandable.

$14.25M User Savings

Total savings for users who otherwise would have paid attorney rates or gone without help entirely.

Nationwide Reach

All 50 states represented. 35% from rural areas traditionally underserved by legal services.

InPro AI demonstrates that AI can responsibly expand access to legal guidance without crossing ethical boundaries. By investing in jurisdiction-aware reasoning, ethical safeguards, empathetic communication, and continuous attorney review, we built a platform that serves 50,000+ people who otherwise couldn't afford legal help. The key insight: responsible AI isn't about limiting capability. It's about designing systems that know their boundaries and connect to human expertise when needed.

Industry challenges we solved for

Legal Technology

Built for everyday people facing legal challenges they can't afford to address through traditional channels. Key considerations: staying within unauthorized practice of law boundaries, jurisdiction-specific accuracy, emotional sensitivity for stressful situations, and clear escalation to human attorneys.

More delivered systems

Three projects with a similar shape to this one.

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