Developing a Contract Review and Document Analysis Platform

Contract review without the manual grind

We created a document analysis platform for the efficient upload, review, and processing of documents. It integrates with the document management system and provides a variety of add-on modules, such as a contract engine and payment engine that detect discrepancies, anomalies, and potential problems within the documents.

The aim was to cut down on the time previously spent on manual contract and payment document review, and to increase the speed for users to access important information. The platform was built to ease the document investigation process, as contracts are made searchable and easier to navigate and operate.

Accurate search and highlighting inside large PDFs

The most significant challenge was implementing text search and highlighting within large PDF documents, which needed to be accurate. All users had to find the clauses, payment terms, and specific wording in the contract as quickly as possible, without having to manually read hundreds of pages. One of the challenges was displaying large PDF files and ensuring smooth operation across all browsers. There was a lot of complex formatting, tables, scanned pages, and embedded content in many of the documents that could impact loading times and navigation.

The platform required the ability to interact with documents in real-time, enabling users to search, review, and navigate documents without lag. It also needed to be customized so that it highlighted and provided search results for the same accuracy in different PDF structures. With the growing volume of documents, it was important to respond to the user's requests for the documents to be displayed and to help users navigate seamlessly through them.

How we built it: Next.js with Zustand-synced document state

Our frontend was developed on Next.js to ensure a fast and responsive user experience in a workflow involving document analysis and review. A scalable interface using Tailwind CSS, Bootstrap, and SASS was created to easily navigate large document datasets. To render and navigate the documents, we added a library called @react-pdf-viewer with pdfjs-dist. The technologies served as a base for PDF document viewing, searching, and interaction in the platform. We also tailored the viewer interface to match the platform's need for the particular workflows and user requirements of its users.

State management was achieved with Zustand, so that document data, states for searching, and user interactions were kept synchronized during the whole review process. Also included on the platform were AI-powered workflows developed with @ai-sdk/react, assisting with features such as document analysis and anomaly detection in the contract and payment engines. High-level search and highlights enabled for the end user were added to make it more usable, enabling them to find clauses, payment details, and contract terms with greater ease when scanning large documents.

What we shipped: 30-40% faster document review

We provided them with a centralized document review platform that will allow them to upload contracts, analyze documents for payments, look for anomalies, and navigate large PDFs more efficiently. The entire system was unified into a workflow to render the documents, intelligently search, and perform AI-assisted analysis. The custom PDF viewing and search application reduced the search time for specific terms and clauses in a contract by as much as 50-60% from manual searching. The utilities of highlighting and navigation in searches also assisted users in navigating through longer documents much more quickly in investigations and audits.

Frontend optimizations improved document loading and navigation performance and reduced perceived wait times by about 30-40% for large documents. The custom-made PDF viewer also had the added advantage of being user-friendly, making the reviewing process much simpler than with conventional document-viewing apps. Teams would notice anomalies in the platform’s workflows, helping them uncover inconsistencies in contracts and payment discrepancies before entering these documents for validation, thereby streamlining the validation process.

The outcome: structured, faster contract decisions

It streamlined the document review process by making it more structured and efficient, as opposed to the manual and tedious approach previously used. The user can easily find the contracts, key clauses, and even find discrepancies in hours instead of spending hours on the big documents.

The solution's document management and enhanced PDF interaction tools made review more efficient and facilitated quicker, smarter decision-making during contract and payment record review. Coding Crafts' proficiency in creating sophisticated web applications that rely heavily on documents with powerful search capabilities, AI-driven analysis workflows, and performance-optimized front-end architectures tailored for complex business processes is showcased in this project.