Your Agreements Are a Database You Can't Query — Hiral Shah, Docusign & Sean Sodha, NVIDIA

Enterprise agreement management faces a critical bottleneck: massive volumes of unstructured data trapped in PDFs and images remain inaccessible for business analysis. DocuSign addresses this by integrating NVIDIA’s Nemotron Parse model into its Agreement Manager platform, specifically targeting the complex, hierarchical nature of enterprise contracts. Unlike generic vision-language models, this purpose-built, 850-900 million parameter model excels at extracting vital terms like pricing tiers and SLAs from dense, merged-cell tables. This collaboration enables high-speed, accurate data processing at a scale of millions of agreements, significantly reducing the manual burden on legal and procurement teams. By transforming static documents into structured, queryable assets, organizations can finally capitalize on the estimated $2 trillion in latent value hidden within their agreement repositories, while benefiting from the model's low latency and superior performance compared to traditional extraction methods.