AI legal research and analytics platform for workers' compensation workflows.

A legal-tech platform combining search, data retrieval, authentication, payments, vector search, and responsive product UI to support AI-powered legal analytics.

The product need

Workers' compensation legal workflows require fast access to relevant case information, secure account access, payment flows, search, retrieval, and a UI that can handle dense legal data without becoming overwhelming.

The full-stack approach

I helped build the platform across the stack with REST APIs, MongoDB data handling, Firebase authentication, Stripe billing, Pinecone-powered retrieval, Redux state management, and responsive Next.js interfaces.

What I worked on

• Developed full-stack features for an AI-powered legal analytics platform.
• Designed and implemented REST APIs for real-time data processing, retrieval, and frontend integration.
• Integrated MongoDB for application data handling.
• Integrated Firebase authentication and Stripe payment workflows.
• Connected Pinecone-based search functionality.
• Used Redux for scalable state management and built responsive frontend components using Next.js and Material UI.

Capabilities that mattered most

Technical flow

Technology and service surface area

What this case study demonstrates

• Keeping complex legal data approachable through clear interaction patterns.
• Supporting multiple SaaS concerns at once: auth, billing, retrieval, and application state.
• Making search and research workflows feel immediate across a data-rich interface.

• Strengthened the platform’s SaaS foundations across security, billing, search, and frontend workflows.
• Improved the reliability of data retrieval and state handling for a serious legal-tech product.

This project shows Ashish's ability to work on serious SaaS products with authentication, payments, search, APIs, data retrieval, and responsive frontend architecture.