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A Spring Boot backend providing a RESTful API for processing legal queries and delivering accurate legal advice.

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AI Legal Assistant Backend

Overview

The AI Legal Assistant backend is developed using Spring Boot to provide a robust and scalable solution for delivering accurate legal advice through an API. This backend seamlessly integrates with the Next.js frontend, handling user queries and leveraging a trained language model to generate responses.

Demo

You can interact with the API via the frontend Live Link.

Features

  • RESTful API: Implements a clean and intuitive API for the frontend to communicate with.
  • Legal Query Processing: Processes user queries and provides contextually relevant legal advice.
  • Integration with LLM: Utilizes a trained language model to generate accurate responses based on user input.
  • Security: Implements security best practices to protect sensitive user data.

Installation

  1. Clone the repository locally:
git clone https://github.com/ayushkoli772/ai-lawyer-backend.git
  1. Navigate to the Project Directory:
cd ai-lawyer-backend
  1. Run the application:
./mvnw spring-boot:run
  1. The server will start at http://localhost:8080.

API Endpoints

POST /chat

Description: Receives user messages and returns appropriate legal advice.

Request Body:

"Your query here"

Response:

Returns a plain text string containing the legal advice.

Technologies Used

  • Spring Boot: For building the RESTful API.
  • MongoDB: For data storage and management.

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.

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A Spring Boot backend providing a RESTful API for processing legal queries and delivering accurate legal advice.

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