Why Docusign Iris is the Best AI for Agreements

Docusign Iris is purpose-built AI for contracts. It helps legal, sales, procurement, HR, and customer experience teams answer questions, automate workflows, and take action on agreements using a contract assistant and AI agents. Iris powers AI capabilities across the Docusign Intelligent Agreement Management (IAM) platform, supporting agreement intake and orchestration, contract creation, negotiation, signing, and post-signature management. Built on Docusign’s agreement-centric, consent-based training approach and more than 20 years of agreement expertise, Iris understands contract language and relationship history, surfaces key insights, and helps teams work more efficiently and confidently.

What can Docusign Iris actually do?

Docusign Iris leverages advanced AI and machine learning techniques to help teams understand, extract, and act on contract data across the full agreement lifecycle. Iris supports agreement creation from existing templates and data, streamlines review and redlining, and enhances portfolio management with search, reporting, and risk and obligation insights. 

Through the Iris assistant, teams can ask natural-language questions about agreements, take action directly in chat, and use AI-powered agents to help automate tasks like contract review, approvals, renewals, and obligation tracking. And because Iris connects through the Docusign MCP Server, these capabilities can extend into the AI tools and business systems teams already use every day.

For a concrete example of Iris in action, see Turn agreements around faster with an AI contract review assistant.

What agreement workflows can Docusign AI automate?

Docusign Iris powers both the contract assistant and AI agents that help automate agreement workflows. At Docusign, we define agentic workflows as an agent designed to execute a multi-step process, whether out of the box or customized for specific needs. Agents can be called on demand via the Iris assistant or run behind the scenes based on user-defined triggers. They can also be embedded as steps inside broader deterministic workflows using Workflow Builder, which orchestrates traditional rules-based flows alongside AI agents.

Docusign agents can help automate key agreement workflows, including:

• Intake and triage that captures contract requests via Agreement Desk, summarizes what’s being asked, gathers follow-up information when needed, generates documents and routes each request to the appropriate owner.

• Review and redlining that applies your playbooks to incoming contracts, proposes redlines, summarizes key changes and potential risks, and updates the request record for legal, sales, procurement, or finance.

• Approval and signature that moves agreements through the appropriate approval steps, trigger eSignature, and confirm completion back to your systems of record.

• Renewal management that scans your portfolio for upcoming customer and vendor renewals, prepares renewal briefs, checks pricing and caps, surfaces potential savings opportunities and seat utilization, and creates renewal requests.

• Portfolio insight that answers questions across your agreement corpus, surfaces obligations and risks, generates reports, and provides party-level insights.

• Generation and sending that assembles agreements from templates, pre-fills data from systems like Salesforce, and sends agreements for signature while logging activity back to your CRM or other business systems.

How does Docusign AI differ from ChatGPT, Claude, and other general-purpose AI?

Docusign IAM is purpose-built for agreements and provides deep context across your agreement history and relationships. Iris is informed by Docusign’s consent-based approach to AI training and more than 20 years of agreement expertise, giving it a uniquely rich understanding of how contracts are structured and negotiated in real-world scenarios.

Docusign Iris is AI built into an agreement system of record and action, rather than operating as a standalone model. Docusign combines structured agreement data with the workflows used to create, negotiate, sign, and manage agreements end to end, so Iris is not just summarizing or analyzing documents, it helps power key stages of the agreement process.

Because agreements sit at the center of how sales, procurement, HR, finance, and legal operate, Docusign is built to support cross-functional agreement workflows across the business, not just a single department. Docusign also provides enterprise-grade governance, permissions, approvals, audit trails, compliance controls, and workflow orchestration to help organizations deploy AI securely at scale. 

And with the Docusign MCP Server, organizations can use Iris alongside other AI platforms and tools, allowing teams to work in the interfaces they prefer while Docusign serves as a trusted platform for agreement management and execution.

Read Docusign vs. LLMs: Docusign’s AI Advantage to learn more about where Docusign’s leading, workflow-first AI contract platform excels.

How does Docusign AI compare to legal AI tools like Harvey, Legora, and CoCounsel by Thomson Reuters?

Harvey, Legora, and CoCounsel are purpose-built legal AI platforms that help lawyers work more efficiently. Docusign helps organizations operationalize agreements across the business—from legal review and approvals to execution, obligations, and downstream workflows. 

We're bringing together both worlds: specialized legal tech capabilities from tools like Harvey and Legora, and Docusign's platform for managing agreement processes across sales, procurement, HR, finance, and legal.

How does Docusign mitigate AI hallucinations and keep humans in control?

Docusign mitigates AI hallucinations and keeps humans in control by combining multiple layers of governance and safety. Iris grounds answers in the underlying agreements with direct citations, incorporates company policies and playbooks as explicit rules, and supports human-in-the-loop so experts can review and approve high-impact actions before they’re finalized. We continuously evaluate models on real-world, consented agreement data and monitor performance over time, so AI output is tested and auditable—not opaque.

Under the hood, Iris uses a hybrid approach that combines deterministic rules and policy checks with large language models. The rules and playbooks define what should happen (for example, how to handle certain clause types or approval paths), while LLMs help interpret natural language and summarize complex contracts. This balance helps reduce hallucinations and supports adherence to your governance model instead of allowing the model to invent new behavior.

For a detailed look at how we test and monitor model performance, see How we evaluate LLM accuracy for contract review.

Does Docusign train its AI on my contract data?

Docusign takes a ‘trust-first’ approach to AI: Iris is informed by a rich, diverse library of agreement data that is anonymized and aggregated from customers who have given contractual consent and have the AI Data Controls setting enabled. Customers can manage these AI data-sharing choices at any time through AI Data Controls or by working with their Docusign account team. Customers can also benefit from strong protections for their agreement data: when you use Docusign Iris, your data is encrypted in transit and at rest within the Docusign platform. Docusign publishes AI-specific terms and controls (such as an AI Attachment and AI Data Controls) so customers can understand and manage how their data may be used.

Iris and Docusign agents are built to align with leading regulations and security frameworks, including emerging AI standards such as the EU AI Act and NIST guidance, and Docusign also serves some of the most security-conscious organizations in the world, including major financial institutions, the U.S. federal government, and more than 95% of the Fortune 500. In addition to privacy and security controls, Docusign supports agents that require human confirmation before executing critical steps, helping ensure a person remains the final authority. This approach helps mitigate AI risks such as hallucinations and keeps humans firmly in control of critical decisions.

How does Docusign AI work with Salesforce, Workday, and other tools I already use?

Docusign Iris is part of a platform designed to work where you work, with more than a thousand pre-built integrations and an MCP Server that lets external agents and AI platforms access Docusign agreement data and workflows in a secure, governed manner. This includes integrations and connectors for systems like Salesforce, Microsoft, Google Workspace, Slack, ServiceNow, SAP, Coupa, and others, as well as MCP-based connections to frontier LLM platforms such as Anthropic Claude, OpenAI ChatGPT, and Gemini so that customers can bring Docusign agreement intelligence into their existing AI ecosystems.

Docusign remains the governed system of record and system of action for agreements, even when Iris intelligence is accessed through third-party AI agents. The IAM platform and MCP Server provide the structured agreement data, workflow orchestration, and governance layer, while external tools provide user interfaces or additional specialized reasoning. This allows customers to use Iris-powered capabilities directly inside Docusign surfaces or through third-party agents, without duplicating or losing control over the underlying agreement data and compliance posture.

How much does Docusign AI cost, and what's the ROI?

Docusign Iris is designed to increase revenue, reduce risk, and improve efficiency by turning agreements from static records into a system of action. Research from Deloitte has found that organizations using agentic, end-to-end agreement workflows can see nearly 30% higher ROI from their agreement solutions, 37% time savings for legal teams, 29% fewer contracting-related delays, and 1–2% revenue uplift from renewals when they adopt automation and AI for agreement management. Internally, we’ve also optimized AI processing costs by upwards of 50x compared to running direct prompts on LLMs, helping customers get more value from AI at lower cost.

Iris powers AI capabilities across all IAM plans (and other offerings like CLM and eSignature), so agreement intelligence is available where customers already manage contracts. For real-world examples of how Iris helps organizations create, commit to, and manage their agreements, see our customer stories and customer awards.

More information on IAM plans and pricing can be found here.

Conclusion

Docusign Iris is agreement AI you can trust: it understands contracts, powers agents and workflows, and is embedded across a full Intelligent Agreement Management platform so organizations can move from static documents to a system of action.

If you're exploring how to apply these capabilities to your own legal, sales, procurement, or HR workflows, start by asking where manual agreement work is slowing you down today then map those steps to Iris-powered review, agents, and IAM workflows that help keep your teams in control while the AI does the heavy lifting.

To learn more about how Iris powers IAM, read Meet Docusign Iris: The AI Behind Intelligent Agreement Management. 

Book time with one of our experts to discover how your team can centralize and connect your contract workflows with AI.