LawLytics – AI-Powered Legal Case Analysis

A full-stack AI-driven platform for legal case analysis.
Built with React, Tailwind CSS, Firebase Authentication, Node.js/Express, MongoDB, and Google Gemini AI.

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Features

• Authentication – Login, Signup, Forgot Password (Firebase Auth)
• User Dashboard – Sidebar navigation, Dark Mode support
• Profile Management – View & update user details with MongoDB persistence
• Case Analysis – AI-powered case analysis using Google Gemini
• Case Management – Create, edit, delete, and search cases with full CRUD operations
• Settings Page – Change password, delete account, notification preferences
• Landing Page – Responsive homepage with project branding

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Tech Stack

Frontend

• React 19
• React Router DOM
• Tailwind CSS
• Firebase Authentication
• React Toastify

Backend

• Node.js / Express
• MongoDB with Mongoose
• Google Gemini AI (for case analysis)
• CORS enabled

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Setup Instructions

Prerequisites

• Node.js (v14 or higher)
• MongoDB (local or MongoDB Atlas)
• Firebase project with Authentication enabled
• Google Gemini API key

Backend Setup

1. Navigate to the backend directory:

cd legal-case-ai-backend

2. Install dependencies:

npm install

3. Create a .env file (copy from .env.example):

GEMINI_API_KEY=your_gemini_api_key_here
PORT=5000
MONGODB_URI=mongodb://localhost:27017/legal-case-ai

4. Start MongoDB (if running locally):

# On Windows (if MongoDB is installed as a service, it should start automatically)
# On Mac/Linux:
mongod

5. Start the backend server:

npm start

The backend will run on http://localhost:5000

Frontend Setup

1. Navigate to the frontend directory:

cd legal-case-ai-frontend

2. Install dependencies:

npm install

3. Create a .env file:

REACT_APP_GOOGLE_API_KEY=your_firebase_api_key_here

4. Start the development server:

npm start

The frontend will run on http://localhost:3000

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API Endpoints

Case Analysis

• POST /api/analyze - Analyze a legal case using AI

Cases

• GET /api/cases?userId=xxx - Get all cases for a user
• GET /api/cases/:id - Get a single case
• POST /api/cases - Create a new case
• PUT /api/cases/:id - Update a case
• DELETE /api/cases/:id - Delete a case

Profile

• GET /api/profile?userId=xxx&email=xxx - Get user profile
• PUT /api/profile - Create or update user profile

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Project Structure

.
├── legal-case-ai-backend/
│   ├── config/
│   │   └── database.js          # MongoDB connection
│   ├── controllers/
│   │   ├── analyzeController.js # AI case analysis
│   │   ├── caseController.js    # Case CRUD operations
│   │   └── profileController.js  # Profile management
│   ├── models/
│   │   ├── Case.js              # Case schema
│   │   └── UserProfile.js       # User profile schema
│   ├── routes/
│   │   ├── analyze.js           # Analysis routes
│   │   ├── cases.js             # Case routes
│   │   └── profile.js          # Profile routes
│   └── server.js                # Express server
│
└── legal-case-ai-frontend/
    ├── src/
    │   ├── components/
    │   │   └── PrivateRoute.js  # Protected route component
    │   ├── pages/
    │   │   ├── Cases.js          # Case management page
    │   │   ├── Dashboard.js      # Main dashboard
    │   │   ├── Home.js           # Landing page
    │   │   ├── Layout.js         # App layout with sidebar
    │   │   ├── Login.js          # Authentication page
    │   │   ├── Profile.js        # User profile page
    │   │   └── Settings.js       # Settings page
    │   └── firebaseConfig.js     # Firebase configuration
    └── package.json

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Features Completed

✅ MongoDB integration for data persistence
✅ Full CRUD operations for cases
✅ User profile management with backend storage
✅ AI-powered case analysis with Google Gemini
✅ Save analyzed cases from dashboard
✅ Change password functionality
✅ Delete account functionality
✅ Case search and filtering
✅ Responsive design with dark mode support

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Notes

• Make sure MongoDB is running before starting the backend
• Ensure Firebase Authentication is properly configured
• The app uses Firebase Auth for authentication and MongoDB for data storage
• All user data is stored securely in MongoDB