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Docusign Agreement Manager: Unlocking Agreement Intelligence with Iris AI

If you've already set up Docusign Agreement Manager and have agreements flowing into the repository, you've completed the foundation. But Agreement Manager's real value isn't storage - it's intelligence. The Iris AI engine that powers Agreement Manager can read every agreement in your portfolio, extract structured data from unstructured documents, and surface insights that would take a legal team weeks to compile manually.

This guide goes beyond setup. It covers how to train Iris for your specific agreement types, build custom extraction fields, use portfolio analytics to make better business decisions, and connect Agreement Manager's intelligence to your other systems through the API and Connect events.

For initial Agreement Manager configuration, see our setup and configuration guide. For the broader IAM context, see our Complete Implementation Guide.

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How Iris AI Reads Your Agreements

The Iris AI engine isn't a keyword search tool. It's a document understanding system that reads agreements the way a trained legal professional would - identifying parties, dates, financial terms, obligations, and provisions from natural language text, regardless of how the document is formatted.

When an agreement enters Agreement Manager - whether through eSignature completion, cloud storage import, or API bulk ingestion - Iris processes it automatically:

1. Document classification - Iris identifies the agreement type from approximately 40 built-in categories (consulting agreements, purchase orders, service agreements, addenda, NDAs, employment agreements, and more)
2. Party identification - extracts all parties to the agreement with their roles
3. Date extraction - effective dates, expiration dates, renewal dates, notice periods
4. Financial term extraction - contract values, payment terms, fee schedules, rate escalation clauses
5. Provision extraction - renewal terms, termination clauses, indemnification, governing law, confidentiality, liability caps, insurance requirements, and more
6. Custom field extraction - fields you've defined and trained Iris to recognize (more on this below)

Iris currently supports English, French, German, Brazilian Portuguese, Spanish, and Japanese - with AI services deployed across North America, Europe, Canada, Australia, and Japan for data residency compliance.

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Default Extraction: What Iris Pulls Out of the Box

Without any configuration, Iris extracts a core set of provisions from every agreement:

Metadata and Parties

• Agreement type classification
• Party names and roles (buyer, seller, licensor, licensee, employer, employee)
• Signature dates
• Effective dates and expiration dates

Financial Terms

• Contract value and total consideration
• Payment terms and schedules
• Fee structures and rate information
• Currency and financial thresholds

Key Provisions

• Renewal terms (automatic renewal, opt-out windows, renewal periods)
• Termination clauses (termination for cause, for convenience, notice requirements)
• Governing law and jurisdiction
• Confidentiality and non-disclosure obligations
• Indemnification provisions
• Liability limitations and caps
• Insurance requirements
• Assignment and transfer restrictions

Dates and Deadlines

• Contract start and end dates
• Renewal notification deadlines
• Milestone dates
• Warranty periods

This default extraction covers the provisions most organizations care about across all agreement types. But the real power comes when you train Iris for your specific needs.

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Custom Extraction: Training Iris for Your Business

Every organization has agreement provisions that matter specifically to them. A construction company needs to extract retainage percentages and bonding requirements. A SaaS company needs to track data processing addenda and SLA commitments. A healthcare organization needs to identify HIPAA BAA clauses and patient data handling requirements.

Agreement Manager's custom extraction lets you teach Iris to find these provisions.

How Custom Extraction Works

1. Define the field - create a new custom extraction field in Agreement Manager's settings. Give it a name, description, and expected data type (text, number, date, currency).

2. Provide training examples - select a handful of agreements (typically 3-5 are sufficient) that contain the provision you want to extract. Highlight the relevant text in each agreement and label it with the custom field name.

3. Iris learns the pattern - from your examples, Iris builds an understanding of how that provision appears across different agreement formats, wordings, and structures. It's not simple keyword matching - Iris understands context and can find the same concept expressed in different ways.

4. Automatic extraction begins - once trained, Iris applies the custom extraction to all existing agreements in Agreement Manager and automatically extracts the field from every new agreement that enters the repository.

5. Review and refine - check the first batch of extractions. Correct any errors. Iris incorporates corrections to improve accuracy over time.

Custom Extraction Examples

Industry	Custom Field	What Iris Extracts
Construction	Retainage percentage	"Owner shall retain 10% of each progress payment"
SaaS	SLA uptime commitment	"Provider guarantees 99.9% uptime"
Healthcare	HIPAA BAA present	Whether a Business Associate Agreement is included
Financial Services	Interest rate type	Fixed, variable, or adjustable rate classification
Real Estate	Lease escalation rate	"Rent increases 3% annually on the anniversary date"
Manufacturing	Warranty period	"Seller warrants products for 24 months from delivery"

Best Practices for Custom Extraction

• Start with your highest-impact provisions - don't try to extract everything at once. Identify the 3-5 custom fields that would save the most manual review time.
• Use diverse training examples - pick agreements from different counterparties with different formatting. This teaches Iris to recognize the concept, not just a specific template.
• Review the first 50-100 extractions carefully. Correction rates in the first batch directly improve accuracy for subsequent processing.
• Name fields consistently - use clear, descriptive names that other team members will understand when searching or building reports.

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Portfolio Analytics and Dashboards

Extracted data becomes powerful when you analyze it across your entire agreement portfolio. Agreement Manager's analytics capabilities turn individual agreement data points into business intelligence.

Renewal Management

Agreement Manager's renewal dashboard aggregates all agreements with renewal clauses and presents them on a timeline. For each agreement:

• When is the current term expiring?
• Is there an automatic renewal clause?
• What's the opt-out notification deadline?
• What are the current financial terms?

Set up automated alerts at 90, 60, and 30-day windows before opt-out deadlines. This single capability often pays for the entire Agreement Manager investment - one missed auto-renewal on a $200K vendor agreement can cost more than a year of IAM licensing.

Spend Visibility

Agreement Manager can show your total committed spend across all vendor agreements, broken down by:

• Vendor
• Agreement type
• Department
• Time period
• Renewal status

This gives procurement and finance teams a view they've never had without weeks of manual research: "What are we committed to spend in the next 12 months, and which agreements are coming up for renegotiation?"

Compliance Auditing

Use Agreement Manager's search and extraction capabilities to audit your portfolio for compliance gaps:

• Which agreements are missing data processing addenda? (Critical for GDPR/CCPA)
• Which vendor agreements lack required insurance minimums?
• Which customer agreements have non-standard indemnification language?
• Which agreements are governed by laws in jurisdictions where you don't have legal coverage?

Run these searches quarterly. The results tell you exactly where to focus compliance remediation.

Custom Reports

Agreement Manager supports customizable AI-generated reports and dashboards. Build views that answer your organization's specific questions:

• Average agreement cycle time by department
• Contract value distribution across customer segments
• Expiring agreements by quarter and business unit
• Extraction accuracy metrics across agreement types

For organizations using Power BI, Docusign has released a Power BI connector (Beta) for native integration of Agreement Manager analytics into your existing BI infrastructure.

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The Agreement Manager API

The Agreement Manager API provides programmatic access to agreement data, enabling integration with your broader technology stack.

Current Capabilities (Limited Availability)

The API currently supports read operations:

• Agreement search - query agreements by type, party, date range, status, and extracted field values
• Agreement details - retrieve full metadata, extracted provisions, and party information for specific agreements
• Bulk ingestion - programmatically import historical agreements from SharePoint, Google Drive, legacy systems, or any document source
• Extracted data access - read Iris's extraction results programmatically for integration with BI tools, CRM systems, or custom applications

Authentication

The Agreement Manager API uses OAuth 2.0 with specific scopes:

• adm_store_unified_repo_read - read access to agreement data
• Standard Docusign JWT or Authorization Code Grant authentication flows

Connect Events (GA)

Docusign Connect now supports Agreement Manager-specific events that fire when:

• An agreement is updated in Agreement Manager
• An agreement is deleted
• AI extraction completes on a newly imported agreement

These events enable event-driven architectures: when Iris finishes extracting data from a new agreement, a Connect event fires, and your downstream systems can immediately process the extracted data. This pairs well with Workflow Builder Event triggers for automated post-extraction workflows.

What's Coming

The Agreement Manager API is transitioning from Limited Availability to General Availability. Expected additions include write operations (updating metadata, annotating agreements), expanded search capabilities, and deeper integration with Workflow data. A CLI toolkit for custom field configuration and AI training set management is also planned.

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Importing Your Agreement History

Agreement Manager's intelligence is only as good as the agreements it can see. Getting your historical agreements into Agreement Manager is critical for portfolio-level insights.

Import Sources

Automatic ingestion - completed Docusign eSignature agreements automatically flow into Agreement Manager. No configuration needed beyond enabling the feature.

Cloud storage import - Agreement Manager supports direct import from:

• Google Drive
• OneDrive
• SharePoint
• Dropbox
• Box

Admins authorize the cloud storage connection, select folders or files, and Agreement Manager imports and processes them. Iris extraction runs automatically on every imported document.

Local upload - drag-and-drop individual files or batches from your desktop.

API bulk ingestion - for large-scale consolidation projects (migrating from a legacy CLM, merging agreement repositories after an acquisition), the Agreement Manager API's bulk ingestion endpoint handles programmatic import at scale.

Import Strategy

Don't import everything at once. Prioritize:

1. Active, in-force agreements first - these are what you need visibility into immediately
2. Agreements expiring in the next 12 months - these need renewal tracking now
3. High-value agreements regardless of expiration - you should know your biggest commitments
4. Historical agreements for portfolio completeness - nice to have, but not urgent

After each batch, review Iris's extraction quality. Correct errors before importing more. This improves accuracy for subsequent batches.

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AI Contract Agents: What's Next

Docusign has announced AI Contract Agents - purpose-built AI agents that go beyond extraction and search to actively manage agreement workflows. The initial focus is on procurement and sales workflows:

• AI-assisted contract review with risk flagging and language recommendations
• Automated prioritization of contract requests based on value and urgency
• Cross-referencing new agreements against existing portfolio commitments
• Recommending specific language updates for policy compliance

AI Contract Agents are powered by the Iris engine and leverage Agreement Manager's extracted data. They represent the next evolution of agreement intelligence - from "search and find" to "analyze and act." The MCP integration with AI systems like Claude is a parallel path toward conversational agreement intelligence.

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How Fluidlabs Helps with Agreement Manager Intelligence

We configure Agreement Manager deployments as part of our IAM implementations - not just the initial setup, but the intelligence layer that turns stored agreements into actionable business data.

What we focus on:

• Custom extraction design - identifying and training the custom fields that deliver the most value for your specific industry and agreement types
• Portfolio migration - designing and executing the import strategy for historical agreements, including quality validation and extraction accuracy reviews
• Dashboard and reporting - building the analytics views your organization needs, from renewal calendars to spend visibility to compliance audits
• API integration - connecting Agreement Manager's extracted data to your BI tools, CRM, and operational systems through the Agreement Manager API and Connect events
• Baton integration - using Agreement Manager Connect events to trigger Workflows when Iris completes extraction on new agreements, automating the downstream processing

Discuss your Agreement Manager intelligence strategy with us.

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Related Resources

• Docusign Agreement Manager: Setup, Configuration & Best Practices
• The Complete Docusign IAM Implementation Guide
• Docusign Workflow Builder: The Complete Workflow Automation Guide
• Docusign IAM vs Traditional CLM: Which Do You Actually Need?
• Connecting AI Agents to Docusign: The MCP Integration Guide
• How to Trigger Workflows From Any Platform

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Published by Fluidlabs, Docusign IAM implementation specialists. Get in touch to discuss your implementation.