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Development of an AI-Enhanced Legal Assistance Platform with Scalable Cloud Infrastructure
  1. case
  2. Development of an AI-Enhanced Legal Assistance Platform with Scalable Cloud Infrastructure

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Development of an AI-Enhanced Legal Assistance Platform with Scalable Cloud Infrastructure

gloriumtech.com
Legal
Education
Non-profit

Platform Challenges

The existing legal assistance platform requires significant technical improvements, including modern API integrations, scalable data infrastructure, and enhanced user experience. Legacy systems hinder staff efficiency and limit integration with external data sources, impacting service delivery to vulnerable populations.

About the Client

A US-based non-profit organization providing legal services and educational resources for socially vulnerable populations, focusing on family law, property disputes, and violence-related legal issues.

Project Goals

  • Enhance user experience through AI-driven intent detection and guided interviews
  • Build a scalable cloud-based data infrastructure using Microsoft Azure
  • Improve integration with external legal databases and third-party systems
  • Transform the platform into a customizable CMS for dynamic content management

Core System Functionalities

  • AI-driven logic for user intent detection and solution recommendation
  • Interactive guided interviews for structured legal request processing
  • Customizable CMS for managing legal resources and workflows
  • Secure user authentication and role-based access control

Technology Stack

Angular
.NET
C#
Microsoft Azure
Cosmos DB

External System Integrations

  • Legal aid databases
  • Government social service APIs
  • Third-party identity verification systems

Non-Functional Requirements

  • High scalability to handle peak user loads
  • Enterprise-grade data security and compliance (GDPR/CCPA)
  • 99.9% system uptime SLA
  • Cross-platform compatibility with mobile and web

Expected Business Impact

The upgraded platform will reduce case processing time by 40%, improve accessibility for underserved populations through intuitive AI guidance, and enable seamless data sharing with partner organizations. Staff efficiency gains will allow legal professionals to focus on complex cases while automated workflows handle routine inquiries.

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