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AI-Powered Legal Consultation Platform for Enhanced Client-Attorney Matching

codedistrict.com

Non-profit

Legal

Inefficient Client-Attorney Matching Process

MSBA faced significant challenges in connecting clients with qualified attorneys due to limited search capabilities, jurisdictional mismatches, fragmented communication tools, and a complex onboarding process. These issues resulted in wasted time, misdirected inquiries, and reduced engagement for both clients and attorneys.

About the Client

Nonprofit organization supporting legal professionals and improving public access to legal expertise through educational programs, networking, and legal services.

Key Project Goals

Reduce attorney time spent on manual matching by 30%
Accelerate case processing speed by 50%
Decrease misdirected client inquiries by 50%
Increase successful client-attorney matches by 40%
Improve document retrieval efficiency by 3x

Core System Functionalities

AI-driven attorney search with specialization/location filters
Jurisdiction-based licensing verification system
In-app real-time messaging and document sharing
Automated appointment scheduling with calendar integration
Role-based dashboards for case management and analytics
Offline document management with synchronization capabilities
Secure authentication with OAuth 2.0 and end-to-end encryption

Technology Stack

React Native for cross-platform mobile development

Node.js backend with RESTful API

MongoDB for document storage

AWS cloud infrastructure

OAuth 2.0 for authentication

WebRTC for real-time communication

System Integrations

State bar licensing databases for verification
Google Calendar/Outlook integration
PDF document processing tools
Push notification services (Firebase/Apple APN)
Analytics platforms (Google Analytics/Mixpanel)

Non-Functional Requirements

GDPR and HIPAA compliance for data protection
99.9% system uptime SLA
Sub-200ms response time for core API endpoints
Role-based access control (RBAC) implementation
Multi-tenancy architecture for scalability

Expected Business Impact

Implementation of this platform is projected to save attorneys 10+ hours monthly through automated workflows, reduce case processing time by 30%, and significantly improve client satisfaction through faster, more accurate attorney matching and secure, streamlined communication channels.