AI-Powered Due Diligence Platform

I developed the AI-Powered Due Diligence Platform from scratch, collaborating closely with the client’s legal team to ensure the solution met their specific needs. The platform leverages a robust tech stack, including Next.js for the frontend and advanced AI models such as Claude, Bedrock, and OpenAI on the backend, complemented by a vector database for semantic document retrieval.

In the fast-paced world of mergers and acquisitions, legal and financial professionals require efficient tools to conduct thorough due diligence. Traditional methods can be time-consuming and prone to errors, leading to delays in decision-making and increased risk.

Our platform addresses these challenges by providing a comprehensive solution that streamlines the due diligence process. Key features include:

Custom Due Diligence Checklists: The platform generates tailored checklist items based on the target firm's information, such as funding status and market presence, aligned with the user's specific goals.

Structured Virtual Data Room: Users can upload documents, which are automatically categorized under relevant checklist items. The platform also employs semantic search to fetch matching documents for each checklist item.

Automated Risk Scoring: Each checklist item includes an automated risk analysis and a confidence score, enabling users to assess potential risks quickly.

Collaborative Features: Users can collaborate on checklist items and interact with an RAG-enabled AI assistant, enhancing teamwork and decision-making.

Deal Sentiment Summarization: Engineered prompts summarize deal sentiment, helping users accelerate their decision-making process.

This platform empowers lawyers and accountants to conduct due diligence more efficiently, reducing the time spent on manual processes and improving accuracy. By automating key tasks, users can focus on strategic decision-making, ultimately leading to better outcomes in M&A transactions.