Agreement Data Extraction and Structuring

This post introduces a new capability focused on extracting and structuring data from complex legal agreements. It addresses the challenge of querying negotiated value locked in PDFs by building a specialized vision language model. This model replaces multiple extraction components with a single pass, preserving semantic structure and tables, and achieving significantly faster extraction speeds compared to general-purpose models. The capability aims to make agreement data queryable and useful for organizations.