LegalWhiz - Smart Contract Risk Analyzer

Inspiration The complexity of legal contracts creates barriers for individuals and small businesses to fully understand what they are signing. Recognizing this challenge, we were inspired to leverage Microsoft Azure AI to develop an accessible solution that could analyze contracts and highlight potential risks in plain language.

What it does LegalWhiz AI is a smart contract analysis tool that: Processes uploaded PDF and DOCX contracts using Azure Form Recognizer to extract text Identifies and flags potentially risky clauses using Azure OpenAI's natural language processing Provides simplified explanations of complex legal terms Answers specific questions about contract content through an interactive interface

How we built it We developed LegalWhiz AI using: Python as the core programming language Streamlit for the web application interface Azure Form Recognizer for document processing Azure OpenAI Service (GPT-4) for contract analysis Modular architecture with separate components for parsing, analysis, and UI

Challenges we ran into Key challenges included: Handling varying document formats and layouts during text extraction Ensuring accurate identification of legal concepts by the AI model Managing API rate limits and response times Creating clear, non-technical explanations of legal terms Implementing robust error handling for document processing failures

Accomplishments we're proud of Creating a functional end-to-end contract analysis pipeline Achieving accurate risk identification in test contracts Developing an intuitive interface accessible to non-technical users Successfully integrating multiple Azure AI services Building a system that provides genuine value in contract review

What we learned Through this project, we gained: Deeper understanding of Azure AI services and their capabilities Experience with legal document structure and common risk factors Knowledge of best practices for AI-powered document processing Insights into making technical legal analysis accessible Improved skills in error handling and system reliability

What's next for LegalWhiz AI Future development plans include: Adding support for additional document types Expanding the legal knowledge base for more jurisdictions Implementing user accounts and analysis history Developing team collaboration features Enhancing the AI model with legal-specific training Exploring integration with e-signature platforms

Built With

• azure-ai-formrecognizer
• azure-ai-services
• azure-app-service
• azure-key-vault.-databases:-none-(in-memory-processing)
• azure-openai
• azure-openai-api
• azure-openai-service.-cloud-services:-azure-form-recognizer
• custom-python-apis.-development-tools:-vs-code
• docker
• environment-variables
• git/github
• markdown
• openai
• pip.-key-python-libraries:-streamlit
• programming-languages:-python.-frameworks-&-platforms:-streamlit
• pypdf2
• python-docx
• python-dotenv
• requests.-supporting-technologies:-json
• with-production-recommendations-for-azure-cosmos-db-and-azure-blob-storage.-apis:-azure-form-recognizer-api