How to Build a Financial Due Diligence Agent with LiteParse

Financial due diligence is a labor-intensive process involving extensive documentation, where analysts spend a significant portion of their time manually extracting and reconciling data from sources like SEC filings. To streamline this workflow, an AI-powered demo app has been developed, which uses LiteParse to parse and highlight textual data from PDFs, providing precise source citations for financial figures. The app's architecture is built on a Next.js framework, featuring a chat UI, a PDF citation viewer, and an API that integrates with SEC's EDGAR database. It stores parsed documents as JSON files and utilizes keyword matching for search, avoiding vector databases or external infrastructure beyond an LLM API. The app includes tools for document management and citation verification, employing strategies to handle discrepancies in financial document formatting. While this demo illustrates the potential for automating due diligence, it is not a production-ready system but can be adapted for more robust deployment. The source code is available on GitHub, and the demo can be tried with Node.js and an Anthropic API key.