Inspiration
We noticed how the smallest corporate legal tasks require a lawyer to analyze legal documents. May it be something as big as a company merger or something as normal as buying a house.
What it does
Our AI agent, Legalyze, analyzes legal documents, gives a compliance score based on different compliance models, and generates a full compliance report on how the agreement can be improved. In addition to that, we also have an AI chatbot that can help you in real time with your compliance score.
How we built it
We used HTML, CSS, and JS for our front end and used machine learning models to train our data on various legal compliances, which helps our code accurately give statistics. We used MongoDB to store user data.
Challenges we ran into
The main challenges we ran into were properly integrating our AI chatbot with the user interface without running into issues, and also ensuring that our database would store data properly locally.
Accomplishments that we're proud of
We have a fully functional AI agent hosted on our web application that can detect any legal document and run a compliance test on that.
What we learned
We learned how to integrate both backend and frontend, and also how to use databases to serve our users with file storage.
What's next for Legalyze
One of the features that we thought of was that we can detect fraudulent signatures to see if they are forged or not.
Built With
- api
- css
- html
- javascript
- mongodb
- openai
- python
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