Schedule Your AI Contract Management Demo

Ironclad AI is the native AI layer built into Ironclad’s contract lifecycle management platform. Ironclad Agent is the front door to that AI, giving teams a single conversational interface to access contracts and workflows, ask questions about their contract portfolio, and invoke specialized agents.

Contracts, workflows, and permissions are all connected in one system, so Ironclad AI is grounded in the full context of your contracting lifecycle, not generic training data. Unlike a general-purpose AI tool, it is designed for contract work and calibrated to how your organization actually operates.

Ironclad AI supports:
– Natural-language search and questions across contracts and workflows
– Contract and portfolio insights, including terms, obligations, renewals, and workflow status
– AI-assisted drafting, editing, summarization, and redlining
– Risk analysis and comparison against approved positions
– Clause and metadata extraction
– Playbook-based review and precedent-informed recommendations
– Specialized agents for intake, review, archiving, renewals, analytics, workflow configuration, and other contracting tasks
– MCP connectors that make contract intelligence accessible in the AI tools your teams already use

These capabilities are connected to Ironclad CLM, so AI can work with the context, permissions, and workflow state that surround each agreement.

For legal teams, Ironclad AI can redline third-party paper against approved playbooks, surface how your organization has previously negotiated similar clauses with the same counterparty, and help identify risk before a contract moves forward.

For procurement teams, Ironclad AI can surface the full picture of a vendor relationship — current effective terms, contract family, and spend history — before a renewal or business review. Renewal Agent automatically generates a brief with key terms, auto-renewal windows, and savings opportunities.

For any team member, Ironclad Agent translates a plain-language request into the right action: finding contracts, starting an intake workflow, answering a question about the portfolio, or building a chart for a presentation. Each interaction draws from the full context of how your organization operates, so outputs are relevant without requiring the user to provide background each time.

People remain responsible for reviewing outputs and making final legal and business decisions.

Yes. Ironclad AI includes specialized agents that can support work across the contract lifecycle. Ironclad Agent provides a conversational entry point and can orchestrate capabilities such as search, intake, contract review, renewals, contract-family analysis, workflow designer and analytics.

Your data stays yours. Ironclad’s AI NEVER exposes sensitive or identifiable information from your contracts—our AI is informed by anonymized, aggregated patterns, meaning what you get is the intelligence that comes from scale, without any privacy tradeoff. If you choose to opt in to data sharing, it helps improve the global model for everyone and ensures your use cases are better reflected—but it’s entirely optional, and your protections don’t change either way.

Ironclad’s AI doesn’t just understand what a contract says. It understands how contracts actually move and live within your business. Most AI tools analyze contract language in isolation, without visibility into the negotiation history, workflow decisions, and commercial context that shape how deals actually get done.

Ironclad’s AI is informed by structural intelligence and workflow depth built from anonymized patterns across 2+ billion processed contracts, and grounded in the context of your full contracting lifecycle: the terms your team has negotiated, the positions defended, and the obligations tracked after signature. That combination of breadth and depth is what makes Ironclad AI insights more accurate and more relevant than anything a document-only approach can produce.

– You always stay in control and your data stays confidential.
– Any customer data used to train Ironclad’s AI models is anonymized and aggregated prior to use.
– We continue to enforce strict “do not train” and “zero data retention” policies with external LLM providers.
– Output generated for other customers by AI products leveraging models trained on your data will never include your customer data. Ironclad employs strict security standards in line with industry best practices, and this extends to our protection of training data
– Ironclad’s existing security and compliance posture (SOC 1 and 2 type II, ISO 27001/27701/27017/27018, GDPR program, CSA Trusted Cloud Provider, etc.) remains in force.

We work to ensure AI outputs are accurate, explainable, and free from bias through a combination of systematic evaluation, data governance, and human oversight.

– Evaluation Framework: Every AI feature is tested through Ironclad’s Evaluation Framework, which measures accuracy, consistency, and reliability against curated benchmarks and real-world contract data.

– Human-in-the-Loop Reviews: Subject matter experts validate model outputs throughout development and deployment, creating continuous feedback loops that improve quality and detect potential biases early.

– Data and Model Governance: All models operate under Zero Data Retention (ZDR) with third-party providers, and training data is carefully controlled to reflect diverse contract types and jurisdictions.

– Explainability and Transparency: Our AI solutions are designed to surface reasoning context where possible (e.g., highlighting extracted properties or showing redline rationale), allowing users to trace and verify AI-driven recommendations.