LegalLink

Sign In Page
Client Dashboard - The client can view their cases as well as create a new case.
Client Dashboard - Creating a new case with a file attached.
Client Case View - The client can view the status of their case here.
Enterprise Dashboard - The agent reviewing cases has access to all cases here.
Enterprise Case View - The agent can view information about a specific case.
Enterprise Messaging - The agent can notify the client about missing information.

Inspiration

As a software developer and an enthusiast in AI technologies, I realized that the legal field could benefit greatly from the advancements in AI. The idea for LegalLink came from observing the time-consuming and complex process of evaluating legal cases by lawyers. We wanted to create a tool that could help them quickly assess the strength of a case and identify potential issues, ultimately saving time and resources.

What it does

LegalLink is a AI-powered application that features a fine tuned GPT model that is trained with data graded by hand. assists lawyers in evaluating the strength of legal cases. The application takes case descriptions and grades them based on their likelihood of winning or potential to receive a large settlement. Additionally, it highlights green and red flags for each case, providing valuable insights to lawyers.

Additional features

Ability to submit supporting documents
Constant case evaluation and AI powered grading
Lawyer and client view
Lawyer ability to send alerts to clients
Image to text using Azure Vision API

How we built it

LegalLink was built using a combination of React for the frontend, Node.js for the backend, and a fine-tuned GPT-3.5 model for the AI component. The frontend UI allows users to input case descriptions, which are then sent to the backend for processing. The AI component analyzes the case description and provides a grade, along with green and red flags.

Challenges we ran into

Integrating the GPT-3.5 model into the application was a challenge, as we wanted to ensure the AI's accuracy and reliability. We also faced issues in handling various edge cases when processing user inputs.

Accomplishments that we're proud of

We are proud of the seamless integration of the GPT-3.5 model into our application and the accuracy it provides in assessing case strengths. Additionally, we're proud of the user-friendly interface that makes it easy for lawyers to use the application.

What we learned

Throughout the development of LegalLink, we learned a lot about the legal field and the challenges lawyers face in evaluating cases. We also gained valuable experience in integrating AI technologies with web applications and working with the GPT-3.5 model.

What's next for LegalLink

We plan to continue refining the AI component to provide even more accurate results and expand the scope of case types the application can handle. Additionally, we will explore potential collaborations with law firms and other legal professionals to further enhance and tailor the application to their needs.