⚖️ ClearClause — A Legal AI Assistant

🤖 A Legal AI Chatbot powered by Gemini API

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📌 Project Overview

ClearClause is a Streamlit-based Legal AI Assistant designed to help users interact with their legal documents in a more intuitive way.

It allows users to:

• 📑 Upload and analyze legal documents (PDF / DOCX)
• 🤖 Ask questions about the uploaded documents or general legal queries
• 📝 Generate detailed summaries with custom instructions
• 🌍 Translate text into multiple languages (currently Hindi and Marathi)

The system uses Google’s Gemini 2.5 Flash model for QnA, summarization, and translation, and FAISS vector database for efficient semantic search across uploaded documents.

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🛠 Tech Stack

Category	Tools/Libraries
Framework	Streamlit
Language	Python 3.10+
AI Model	Google Gemini 2.5 Flash via google-generativeai
Embeddings	GoogleGenerativeAIEmbeddings (LangChain)
Vector Database	FAISS (Facebook AI Similarity Search)
Text Splitting	LangChain RecursiveCharacterTextSplitter
Document Parsing	PyMuPDF (fitz), python-docx
Environment Management	python-dotenv
UI Enhancements	Custom Streamlit CSS styling

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📸 ClearClause Showcase

Here are some visuals of ClearClause in action:

Feature	Screenshot
Home Page
QnA Interface
Document Upload
Summarization
Translation

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🔄 Workflow Explanation

The application's core is a Retrieval-Augmented Generation (RAG) pipeline that can be broken down into three main stages:

1. 📄 Indexing: When a .pdf or .docx is uploaded, its text is extracted, split into intelligent chunks, and converted into a searchable FAISS vector index.

2. 🔎 Retrieval: For document-specific queries, the system performs a semantic search on the index to find the most relevant text chunks related to the user's prompt.

3. 🤖 Generation: The retrieved context (or the direct prompt for general queries) is sent to the Google Gemini Model, which generates the final output—whether it's a direct answer, a custom summary, or a translation.

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📊 Key Features

Feature	Description
📂 Multi-Document Upload	Upload one or more .pdf or .docx legal documents
🤖 Context-Aware QnA	Ask questions about your documents or general legal queries
📝 Custom Summaries	Generate summaries based on user-defined instructions
🌍 Multilingual Support	Translate English legal text into Hindi or Marathi
💬 Chat History	Maintains full interactive conversation logs
🎨 Enhanced UI	Streamlit app with custom Poppins font and styled chat bubbles

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📁 Folder Structure

ClearClause—Legal-AI-Assistant/
├── app.py           # Main Streamlit application script
├── requirements.txt # Python libraries required for the project
├── logo.png         # Custom logo for the application UI
├── Outputs/         # Folder containing generated output files
    ├── Home.png
    ├── GeneralQ&A.png
    ├── DocumentQ&A.png
    ├── Summarization.png
    └── Translation.png
├── .gitignore       # Specifies files and folders to be ignored by Git
├── LICENSE          # License file for the project
└── README.md        # Project documentation

🚀 Getting Started

To get a local copy up and running, follow these simple steps.

Prerequisites

• Python 3.10+
• Git version control system
• A Google Gemini API Key
  • You can obtain one from Google AI Studio.

Installation & Setup

1. Clone the Repository

   git clone https://github.com/sanketjadhav09/ClearClause-Legal-AI-Assistant.git
   cd ClearClause-Legal-AI-Assistant

2. Create and Activate a Virtual Environment

   • This keeps the project dependencies isolated.

   • On Windows:

     python -m venv venv
     .\venv\Scripts\activate

   • On macOS/Linux:

     python3 -m venv venv
     source venv/bin/activate

3. Install Required Libraries

   pip install -r requirements.txt

4. Set Up the Environment Variable

   • Create a file named .env in the root of the project folder.
   • Add your Google Gemini API key to this file as follows:

     API_KEY="YOUR_SECRET_API_KEY_HERE"
     

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💻 Usage

Once the installation is complete, you can run the application locally with a single command:

streamlit run app.py

Navigate to http://localhost:8501 in your web browser to interact with the ClearClause Legal AI Assistant.

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🌐 Deployment

This application is designed for and deployed on Streamlit Community Cloud. The deployment process is automated via GitHub:

1. A public GitHub repository holds the application code (app.py, requirements.txt, etc.).
2. The .env file containing the API_KEY is kept local and ignored by Git via .gitignore.
3. The API key is securely stored in the Streamlit Cloud application's Secrets management.
4. Any push to the main branch on GitHub automatically triggers a redeployment of the application.

Live App URL: https://clearclause-legal-ai-assistant.streamlit.app/

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📄 License

This project is open-source and available under the terms of the MIT License.

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🙏 Acknowledgements

I would like to express my gratitude to the following:

• Sumago Infotech Pvt. Ltd. – For guidance and support in AI, ML, and Data Science.
• Streamlit – For providing the framework to build this interactive application.
• LangChain & Google Gemini API – For powering the AI capabilities of this project.
• Open-source libraries – For making development easier.

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👨‍💻 Author

Sanket Kishor Jadhav

Python Developer | AI & ML Engineer | Tech Innovator

• Architect and developer of ClearClause, a Legal AI Assistant.
• Specializing in applying LLMs and NLP to simplify complex legal data.
• Focused on delivering a robust, powerful, and user-friendly tool for legal document analysis.