-
-
AI analysis is returned
-
Inputting email addresses for the parties that should sign the contract
-
Email asking first signer for signature
-
After Signing the agreement
-
After Both Parties Have Signed
-
Both Parties receive signed document
Inspiration
In today's digital age, it's essential to have the capability to quickly analyze and sign contracts electronically. The inspiration behind ContractScan was to streamline the process of reviewing contracts for potential issues using AI and then enabling users to electronically sign them, ensuring a smooth and efficient workflow for businesses and individuals alike.
What it does
ContractScan is an AI-powered application that helps users analyze contracts for malicious content. It utilizes OpenAI's gpt3.5 turbo API to review the content of uploded contracts. Once the analysis is complete, the user has the ability to electronically sign the contract they uploaded. The application prompts the user for two email addresses: one for the first signer and the second for the second signer of the contract. All of this ensures that contracts are both safe and quickly executable.
How we built it
The ContractScan application was built using several apis: DropBox Sign API(electronic signatures): This provides the functionality for electronic signatures. OpenAI API(contract Analysis): The heart of the application, it uses the AI API to analyze contracts. Bytescale APi(file Upload): Accepts pdfs and return a url, this url is what we use when signing contracts.
Challenges we ran into
Integrating multiple APIs to work seamlessly was a challenge. Ensuring that the OpenAI API accurately identifies malicious content in contracts and that the electronic signing process is secure and user-friendly were among the key challenges faced during development.
Accomplishments that we're proud of
Successfully creating an application that can analyze contracts using AI and then provide electronic signature capabilities is a significant achievement. We're proud of the seamless integration of different services and the user-friendly interface that makes the process straightforward for users.
What we learned
Throughout the development of ContractScan, we learned about the intricacies of contract analysis using AI. We also gained insights into integrating multiple APIs and ensuring data security, especially when dealing with sensitive information like contracts and electronic signatures.
What's next for Contract Scan
In the future, we plan to expand ContractScan's capabilities by integrating more advanced AI models for even more accurate contract analysis. We also aim to give users the ability to add more signers.
Log in or sign up for Devpost to join the conversation.