AI's Prespective Case Suggestions

I built an web application that lets lawyers to upload the case document and the AI gives the lawyers suggestions based on the case

Comment

Inspiration

AI's Prespective Case Suggestions As we know, legal cases can be complex and time-consuming. Lawyers spend a considerable amount of time analyzing cases, conducting research, and preparing arguments. However, with the help of AI, this process can be streamlined and made more efficient. As a lawyer, preparing for a case can be a daunting task, especially when you have to analyze a large amount of information and find the most effective way to present your arguments in court.

What it does

The goal of AI's Prespective Case Suggestions is to assist lawyers in analyzing cases and providing them with suggestions based on their input and the case. The AI is trained on a large dataset of legal cases and is capable of analyzing and extracting key information from legal documents. Since the AI needs pretty huge dataset to be trained on, we don't have the access to it, so we are going to be using the OpenAI's Api.

How we built it

I built this project using python, Open AI gtp-3, langchain, streamlit

Challenges we ran into

getting the uploaded file in the server side and extracting the content of the file was little challenging

Accomplishments that we're proud of

The AI model was successful in getting the input from the user which was entered by them

What we learned

I was able to learn about langchain, streamlit

What's next for AI's Prespective Case Suggestions

Next step would be to integrate multiple models in the backend and get the suggestions from all the models

Built With

  • langchain
  • open-ai-gtp-3
  • python
  • streamlit
Share this project:

Updates