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.
You can interact with the API via the frontend Live Link.
- 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.
- Clone the repository locally:
git clone https://github.com/ayushkoli772/ai-lawyer-backend.git
- Navigate to the Project Directory:
cd ai-lawyer-backend
- Run the application:
./mvnw spring-boot:run
- The server will start at http://localhost:8080.
"Your query here"
Returns a plain text string containing the legal advice.
- Spring Boot: For building the RESTful API.
- MongoDB: For data storage and management.
- 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.