ClauseWise – AI Legal Assistant

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  Smarter, Faster, and Simpler Legal Understanding

Inspiration

Legal documents are often lengthy, complex, and filled with jargon, making them hard for non-experts to understand. Reviewing contracts manually is time-consuming and prone to errors. We were inspired to create ClauseWise to simplify this process using AI, making legal knowledge more accessible, faster, and reliable.

What it does

ClauseWise is an AI-powered legal assistant that analyzes contracts clause by clause. It highlights potential risks, explains legal terms in simple language, and provides structured insights to help users make informed decisions.

How we built it

Backend: Python Flask to handle user queries and connect with the AI model.

AI Integration: Used open-source LLMs (Mistral via Ollama) with custom prompt engineering for legal clause analysis.

Frontend: Responsive web interface using HTML, CSS, JavaScript (React for modularity).

Deployment: Containerized using Docker and tested on Kubernetes/Netlify.

Challenges we ran into

Ensuring accuracy of AI outputs for legal clauses.

Debugging deployment issues with Kubernetes and Netlify.

Handling inconsistencies in uploaded document formats (PDF/DOCX).

Designing a clean, trustworthy UI/UX for both legal professionals and non-experts.

Accomplishments that we're proud of

Successfully integrated LLMs with a scalable web app.

Built a user-friendly interface for analyzing legal contracts.

Overcame technical challenges in cloud deployment and debugging.

Created a project with real-world impact in the legal tech space.

What we learned

Applying AI/NLP in domain-specific contexts like law requires careful tuning.

Importance of team collaboration and agile development under hackathon deadlines.

Debugging and optimizing performance in real deployment scenarios.

The value of UI/UX design in making AI outputs usable.

What's next for ClauseWise – AI Legal Assistant

Adding multi-language support for global accessibility.

Improving accuracy with fine-tuned legal datasets.

Building a secure workspace for lawyer-client collaboration.

Expanding into legal research and citation suggestions.

Built With

• css
• flask
• github
• groqapi
• html
• javascript
• mongodb
• python
• react.js
• render
• sqlite
• vscode