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Ironclad

AI contract lifecycle management for legal teams

Ironclad helps legal and business teams create, manage, and analyze contracts in one place. Its AI layer turns agreements into searchable intelligence so you can spot risk and understand what needs attention.

API
File Access
Integrations
B2B
RAG
For Teams
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About

What It Is

Ironclad is an AI-powered contract lifecycle management platform for legal and business teams. It is designed to help you design, deploy, and manage contracts, then extract insights from those agreements so you can see what’s happening and what may be at risk.

What to Know

Ironclad looks strongest as a contract operations and review platform, not a general-purpose AI assistant. The available content shows AI-assisted contract intelligence and risk surfacing, but it does not clearly explain how much work is automated end-to-end versus reviewed by a human.

Key Features
AI contract lifecycle management
Contract intelligence for surfacing insights from legal agreements
Risk identification across contracts
Contract creation and deployment workflow
Request-a-demo sales-led onboarding
Use Cases
In-house legal teams reviewing contract portfolios for risk
Operations teams managing contract intake and approvals
Companies that want AI support for contract intelligence and visibility
Agenticness: Reactive Tool

Responds to prompts but takes no autonomous action.

High evidence
Last evaluated: Mar 31, 2026

Dimension Breakdown

Action Capability
Autonomy
Adaptation
State & Memory
Safety
How agenticness works →

Categories

Legal AI
Pricing
  • Free: Not publicly available
  • Pro: Not publicly available
  • Enterprise: Request a custom demo
Details
ironcladapp.com
AddedMarch 31, 2026
RefreshedMarch 31, 2026
Agenticness
Reactive Tool
Quick Facts
DeploymentCloud-hosted
AutonomyCopilot (human-in-loop)
Model supportSingle model
Open sourceNo
Team supportEnterprise
Pricing modelSubscription
Interfaceweb, api
Sources
WebIronclad: AI Contract Lifecycle Management Software
WIronclad (software)
Webironclad on PyPI
Last updated April 3, 2026
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