Inspiration
ContractIQ was inspired by the need to simplify and streamline the contract review process for businesses. Traditional contract analysis is time-consuming, error-prone, and often requires extensive legal expertise. We wanted to create a tool that leverages AI to make contract review faster, more accurate, and accessible to everyone.
What it does
ContractIQ is an AI-powered platform that automates contract analysis. It extracts key clauses, assesses risks, detects anomalies, and ensures compliance with regulations like GDPR. Users can upload contracts in PDF, DOC, or TXT format and receive a detailed report with actionable insights in minutes.
How we built it
- Frontend: Built with Streamlit for a user-friendly interface.
- Backend: Utilizes Python and AI/ML APIs for natural language processing and contract analysis.
- File Handling: Integrated
pdfplumberfor text extraction from PDFs. - API Integration: Connected to an AI/ML API for clause extraction, risk assessment, and compliance checking.
- Modular Design: Organized the code into separate modules for API utilities, file handling, and display logic.
Challenges we ran into
- API Limitations: The free-tier API had character limits, requiring us to split contracts into smaller chunks for analysis.
- Error Handling: Ensuring robust error handling for invalid file formats or API failures.
- User Experience: Designing an intuitive interface for both legal professionals and non-experts.
Accomplishments that we're proud of
- Successfully built a functional prototype that automates contract analysis.
- Created a modular and scalable codebase for future enhancements.
- Delivered a user-friendly interface that simplifies complex legal processes.
What we learned
- The importance of modular code design for maintainability and scalability.
- How to integrate third-party APIs effectively and handle their limitations.
- The challenges of balancing accuracy and usability in AI-powered tools.
What's next for ContractIQ
- Enhanced Features: Add support for more file formats and advanced clause analysis.
- Improved AI Models: Train custom models for better accuracy and compliance checks.
- Deployment: Deploy the app on a cloud platform for wider accessibility.
- User Feedback: Gather feedback from users to refine and improve the platform.
Built With
- openai
- streamlit
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