How Docusign Uses Elasticsearch to Power Generative AI Agreement Management

Docusign processes an extraordinary volume of agreement data across its customer base of 1.6 million organizations. Before its AI-driven IAM platform, users routinely searched across disconnected systems—Google Drive, SharePoint, email archives—to locate a single agreement. For a procurement professional verifying whether an NDA existed or confirming compliance terms, this could mean hours of manual search across multiple platforms and reading entire documents to extract a single relevant clause.

The operational gap was structural. As Docusign expanded from e-signature into full agreement lifecycle management, the company needed a search foundation capable of handling billions of documents at production scale while enabling AI to surface specific insights from the content. No general-purpose database could index and query at that volume with the performance agreements management demands. The solution needed to handle semantic understanding, not just keyword matching.

Docusign built its Navigator repository on Elasticsearch, running on Microsoft Azure. Elasticsearch indexes every agreement stored on the platform, enabling users to ask natural language questions—“Find me all agreements with termination clauses”—and receive instant, contextually relevant results with highlighted content and surrounding context. The Elastic platform also powers proactive features: as renewal deadlines approach, the system automatically identifies and notifies customers about upcoming expirations, including surfacing unused vendor services that customers are paying for but no longer using.

The operational results are direct. Customers who previously spent hours locating a single agreement at 9 PM under deadline pressure can now retrieve it in under a minute. Docusign’s legal teams and procurement professionals can complete research tasks that once consumed hours in seconds. Financially, Navigator’s proactive renewal identification helps customers avoid waste on unused contracts and capture savings on services they’ve forgotten they’re paying for.

Docusign is actively expanding the AI layer built on Elasticsearch. Hiral Shah’s team is exploring semantic search with Elasticsearch’s vector database and RAG capabilities to enable question-and-answer workflows across agreement data. The company is also migrating toward Elastic Cloud Serverless for cloud-native architecture at scale. For Docusign, Elasticsearch is the infrastructure layer that makes generative AI usable across the entire agreement lifecycle—from creation through execution and ongoing management.