DocaPrise
AI, Document Management
Project details
Project Description:
DocaPrise simplifies contract generation, editing, and signing for enterprises. It allows users to create contracts using pre-designed templates enhanced by LLM for accuracy and customization, save and reuse previously created contracts to avoid repetitive data entry, provide multiple signing options including embedded signing, remote signing via email, and responsive signing, and maintain a database of up-to-date, reusable contract documents.
Inspiration:
The inspiration for DocaPrise came from the growing need for businesses to streamline their contract creation and signing processes. Traditional methods are often repetitive, time-consuming, and prone to errors. With the power of AI and tools like DocuSign, we realized we could create a solution that automates these workflows while ensuring accuracy and efficiency.
Solution and Implementation:
-
AI-Powered Contract Generation:
Leveraged LLMs to generate repeatable, accurate, and customizable contracts from pre-designed templates. -
Multiple Signing Options:
Implemented embedded signing, remote signing via email, and responsive signing workflows using DocuSign API integration. -
Contract Management:
Created a database system for storing and reusing up-to-date contract documents to avoid repetitive data entry. -
Full-Stack Development:
Built with Node.js backend for JWT authentication and DocuSign API integrations, and Next.js frontend for seamless responsive user experience. -
TypeScript Integration:
Maintained a strongly-typed codebase using TypeScript for better reliability and scalability across both frontend and backend.
Challenges We Ran Into:
- Setting up DocuSign authentication workflows, including JWT-based backend authentication, was more complex than anticipated.
- Integrating TypeScript with Next.js on the backend presented a learning curve as we worked to manage type-safety and API integration simultaneously.
Accomplishments That We're Proud Of:
- Successfully leveraging LLMs to generate repeatable, accurate, and customizable contracts.
- Designing a highly responsive frontend that enhances user experience.
- Implementing a robust backend that supports various signing workflows like embedded, remote, and responsive signing.
Technologies Used:
Frontend:
- Framework: Next.js
- Language: JavaScript, TypeScript
Backend:
- Runtime: Node.js
- Authentication: JWT
- API Integration: DocuSign
AI & Tools:
- LLM: ChatGPT
- Document Signing: DocuSign
- Deployment: Vercel, BunnyShell
What We Learned
The intricacies of DocuSign API integration and how to use its various endpoints effectively. Best practices for using TypeScript in a full-stack application. The potential of LLMs in automating workflows and improving business processes.
Summary
DocaPrise revolutionizes document signing by replacing traditional, repetitive methods with an AI-powered platform that automates contract generation, editing, and signing. Built with Next.js, Node.js, and DocuSign integration, it offers multiple signing options and maintains a reusable contract database for enterprises seeking efficient document workflow solutions.
Services
Next.js
Next.js was used to build the responsive frontend of DocaPrise, ensuring a seamless user experience. This React-based framework provided server-side rendering capabilities and optimized performance for the contract management platform.
Node.js
Node.js powered the backend of DocaPrise, handling JWT authentication, DocuSign API integrations, and LLM-powered contract generation. Its event-driven architecture efficiently managed multiple signing workflows and document processing tasks.
TypeScript
TypeScript was implemented throughout the DocaPrise codebase to maintain strong typing and improve reliability. This ensured better code quality, easier maintenance, and enhanced scalability across both frontend and backend components.
DocuSign
DocuSign API integration was central to DocaPrise, providing multiple signing options including embedded signing, remote signing via email, and responsive signing. This enabled secure and legally binding electronic signatures for all contract documents.
AI & LLM
Large Language Models (LLMs) including ChatGPT were leveraged to generate accurate and customizable contracts from templates. This AI-powered approach automated contract creation while ensuring legal accuracy and reducing manual errors in document generation.
6+
Years Experience
126
Completed Projects
114
Happy Customers
20+