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AI Legal Assistant is a Next.js and TypeScript-based web platform that provides accurate legal advice through an interactive chat interface, seamlessly integrating with a Spring Boot backend.

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ayushkoli772/ai-lawyer-frontend

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AI Legal Assistant

Overview

The AI Legal Assistant is a web-based platform designed to provide users with accurate legal advice on various legal matters. This frontend project, built with Next.js and TypeScript, aims to deliver a user-friendly and responsive interface for seamless interactions, enabling users to receive valuable legal guidance through an engaging chat interface.

Backend

Link

Demo

Live Link

Features

  • Interactive Chat Interface: Users can ask legal questions and receive advice through an intuitive chat interface.
  • Responsive Design: The platform is optimized for various screen sizes, ensuring a seamless user experience on both desktop and mobile.
  • Seamless Integration with Backend: Communicates with a Spring Boot backend to fetch legal advice and recommendations.

Installation

  1. Clone the repository locally:
git clone https://github.com/ayushkoli772/ai-lawyer-frontend.git
  1. Navigate to the Project Directory:
cd ai-lawyer-frontend
  1. Install Dependencies:
npm install
  1. Run the development server:
npm run dev
  1. Open http://localhost:3000 with your browser to see the result.

Technologies Used

  • Frontend: Next.js, TypeScript, Tailwind CSS
  • Backend: Spring Boot (for handling chat requests and fetching legal advice)
  • Hosting: Vercel (Frontend), Backend on a separate server

Future Improvements

  • Enhanced AI Capabilities: Integrate more advanced LLM models for higher accuracy in legal advice.
  • User Authentication: Implement secure user login and account management features.
  • Dashboard for Legal Experts: Allow experts to validate and improve the AI responses continuously.

About

AI Legal Assistant is a Next.js and TypeScript-based web platform that provides accurate legal advice through an interactive chat interface, seamlessly integrating with a Spring Boot backend.

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