🏛️ LegalEase AI

Making legal documents understandable for everyone

LegalEase AI is an intelligent document analysis platform that transforms complex legal documents into plain-English summaries with risk assessments. Upload your contracts, agreements, or legal documents and get instant AI-powered insights.

🚀 Project Overview

LegalEase AI leverages advanced AI technology to:

• Extract text from PDF and TXT documents
• Generate comprehensive summaries in bullet points
• Assess risk levels (Safe, Moderate, High)
• Identify specific risk factors with explanations
• Provide interactive chat for document-specific questions

Perfect for individuals, small businesses, and anyone who needs to understand legal documents without hiring expensive lawyers.

Demo

https://legal-ai-peach.vercel.app/

✨ Features

📄 Document Processing

• Multi-format Support: PDF and TXT file uploads (up to 2MB)
• Advanced Text Extraction: Multiple extraction methods for maximum compatibility
• Smart Fallbacks: Handles various PDF types including complex layouts

🤖 AI-Powered Analysis

• Plain-English Summaries: Complex legal jargon translated to understandable language
• Risk Assessment: Automated risk level evaluation with detailed explanations
• Risk Flagging: Identifies specific clauses that need attention
• Context-Aware: Understands legal document structure and terminology

💬 Interactive Chat

• Document Q&A: Ask specific questions about your uploaded document
• Contextual Responses: AI answers based on the analyzed document content
• Real-time Interaction: Instant responses powered by Gemini AI

🎨 Modern UI/UX

• Responsive Design: Works seamlessly on desktop, tablet, and mobile
• Glassmorphism Effects: Beautiful, modern interface with backdrop blur
• Smooth Animations: Framer Motion powered transitions
• Dark Theme: Easy on the eyes with professional appearance

🛠️ Tech Stack

Frontend

• Next.js 15.5.3 - React framework with App Router
• React 19.1.1 - UI library
• Tailwind CSS 4 - Utility-first CSS framework
• Framer Motion - Animation library
• Lucide React - Icon library

Backend & APIs

• Next.js API Routes - Serverless backend functions
• Formidable - File upload handling
• PDF Processing:
  • pdf-parse - Primary PDF text extraction
  • pdfjs-dist - Advanced PDF parsing fallback
• Google Gemini AI - Document analysis and chat responses

Deployment & Infrastructure

• Vercel - Hosting and deployment platform
• Edge Functions - Serverless API endpoints
• Environment Variables - Secure API key management

📂 Project Structure

legalai-main/
├── src/
│   ├── app/                    # Next.js App Router
│   │   ├── chat/              # Chat page
│   │   ├── privacy/           # Privacy policy page
│   │   ├── layout.js          # Root layout
│   │   └── page.js            # Home page
│   ├── components/            # React components
│   │   ├── ui/               # UI components
│   │   │   ├── Navbar.jsx    # Navigation component
│   │   │   └── resizable-navbar.jsx
│   │   ├── chat.jsx          # Main chat interface
│   │   ├── Hero.jsx          # Landing page hero
│   │   ├── Footer.jsx        # Footer component
│   │   └── ...               # Other components
│   ├── lib/                  # Utility functions
│   │   ├── utils.js          # General utilities
│   │   └── pdfReader.js      # PDF processing utilities
│   └── pages/api/            # API routes
│       ├── extract.js        # Document processing endpoint
│       ├── chat.js           # Chat API endpoint
│       └── analyse/          # Analysis endpoints
├── public/                   # Static assets
│   ├── Logo.svg             # Application logo
│   └── logo.png             # Alternative logo format
├── .env.local               # Environment variables (not in repo)
├── package.json             # Dependencies and scripts
└── README.md               # This file

⚙️ Installation & Setup

Prerequisites

• Node.js 18+
• npm or yarn package manager
• Google Gemini API key

1. Clone the Repository

git clone https://github.com/kritgarg/Legal-AI.git
cd Legal-AI

2. Install Dependencies

npm install
# or
yarn install

3. Environment Setup

Create a .env.local file in the root directory:

GEMINI_API_KEY=your_gemini_api_key_here

Getting a Gemini API Key:

1. Visit Google AI Studio
2. Sign in with your Google account
3. Create a new API key
4. Copy the key to your .env.local file

4. Verify Installation

npm run dev

Visit http://localhost:3000 to see the application running.

▶️ Running the App

Development Mode

npm run dev

• Runs on http://localhost:3000
• Hot reload enabled
• Development optimizations

Production Build

npm run build
npm start

Type Checking

npm run type-check

Linting

npm run lint

🌐 Deployment (Vercel)

Automatic Deployment

1. Push your code to GitHub
2. Connect your repository to Vercel
3. Add environment variables in Vercel dashboard:
   • GEMINI_API_KEY: Your Google Gemini API key
4. Deploy automatically on every push to main branch

Manual Deployment

# Install Vercel CLI
npm i -g vercel

# Deploy
vercel

# Set environment variables
vercel env add GEMINI_API_KEY

Environment Variables for Production

In your Vercel dashboard, add:

• GEMINI_API_KEY: Your Google Gemini API key

📸 Screenshots (Optional)

Coming soon - Add screenshots of your application in action

⚖️ Disclaimer

Important Legal Notice:

• This tool provides AI-generated analysis for informational purposes only
• NOT a substitute for professional legal advice
• Always consult qualified legal professionals for important legal matters
• No attorney-client relationship is created by using this service
• Users are responsible for verifying all information
• The developers assume no liability for decisions made based on AI analysis

📜 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙌 Contributing

We welcome contributions! Here's how you can help:

Getting Started

1. Fork the repository
2. Create a feature branch: git checkout -b feature/amazing-feature
3. Make your changes
4. Commit: git commit -m 'Add amazing feature'
5. Push: git push origin feature/amazing-feature
6. Open a Pull Request

Contribution Guidelines

• Follow the existing code style
• Add tests for new features
• Update documentation as needed
• Ensure all tests pass before submitting

Areas for Contribution

• 🐛 Bug fixes
• ✨ New features
• 📚 Documentation improvements
• 🎨 UI/UX enhancements
• 🔧 Performance optimizations

❓ FAQ

General Questions

Q: What types of documents can I upload? A: Currently supports PDF and TXT files up to 2MB. Works best with text-based PDFs rather than scanned images.

Q: Is my document data secure? A: Documents are processed temporarily and not stored permanently. However, they are sent to Google's Gemini AI for analysis.

Q: How accurate is the AI analysis? A: The AI provides helpful insights but should not replace professional legal review for important documents.

Technical Questions

Q: Why is my PDF not being processed? A: This usually happens with scanned PDFs or image-based documents. Try using a text-based PDF or convert your document first.

Q: Can I run this locally without an API key? A: No, the Gemini API key is required for document analysis and chat functionality.

Q: How do I report a bug? A: Please open an issue on GitHub with detailed steps to reproduce the problem.

Development Questions

Q: How do I add a new document format? A: Extend the file processing logic in /src/pages/api/extract.js and update the file input accept types.

Q: Can I use a different AI model? A: Yes, modify the API endpoints to use different AI services. The current implementation uses Google Gemini.

Q: How do I customize the UI theme? A: Edit the Tailwind CSS classes in components and update the color scheme in tailwind.config.js.

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Made with ❤️ by Krit Garg

Empowering everyone to understand legal documents through AI