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AI-Assisted Web Forms in Docusign transform static documents into interactive, shareable forms. Instead of configuring fields manually, AI-powered suggestions and side-by-side contextual editing help teams launch mobile-responsive forms in minutes.

We're launching Docusign IAM for HR to help you create, commit to, and manage the entire employee lifecycle.

At Momentum ‘26, we announced new AI-powered capabilities in the Docusign Intelligent Agreement Management (IAM) platform. The new Docusign Iris assistant, AI agents, and Agent Studio help teams accelerate contract review, automate follow-up tasks, and manage agreements more efficiently across sales, HR, procurement, and legal workflows. Docusign IAM is an agreement platform that helps businesses reduce manual work, improve visibility, and move faster from draft to execution.

Contract tables — the SLA terms, rate cards, and pricing schedules buried in enterprise agreements — are among the hardest data to extract accurately at scale. Docusign has integrated NVIDIA's Nemotron Parse, a vision-language model purpose-built for document understanding, into its document processing pipeline to solve this. Table extraction powered by Nemotron Parse is now accepting beta customers with full general availability ahead.

Docusign Intelligent Agreement Management (IAM) is an end-to-end agreement platform that helps legal teams analyze, redline, negotiate, and automate contracts in one place, powered by Iris, our agreement-tuned AI engine. With agentic workflows grounded in real agreement context and integrations with leading legal AI platforms, Docusign IAM transforms agreements from static documents into strategic assets that drive faster decisions.

Manual field mapping was one of the most common sources of user-reported errors in Workflow Builder workflows. Traditional semantic matching couldn't help because most eSign templates lack meaningful field labels. So we built a two-stage AI pipeline that identifies what each field represents by analyzing the document visually, then auto-maps those fields to Web Form data, cutting configuration time from 30 minutes to 20 seconds.