Case Study: a leading financial institution speeds contract data retrieval with Six Feet Up's AI-driven chatbot

a leading financial institution cuts contract search time from hours to seconds with Six Feet Up

Six Feet Up developed an AI-driven chatbot for a leading financial institution that was struggling to efficiently navigate its archives of lengthy contractual documents stored as unstructured PDFs. The process of manually pinpointing specific terms was incredibly time-consuming, prone to error, and required a highly secure solution due to the confidential nature of the data.

The solution implemented by Six Feet Up utilized Python, AWS, and local Large Language Models (LLMs) to create a secure chatbot that automates data extraction from contracts via natural language queries. The integration of vector databases enabled efficient data retrieval, reducing search times from hours to seconds. This dramatically improved the client's operational efficiency and decision-making accuracy while ensuring data remained confidential.