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Draft and get answers inside Word
Saige Assist works in the Microsoft Word add-in — drafting and answering where your legal team already lives.
Move contracts faster with AI — without giving up the trust your business runs on.
Your team is already reaching for tools like ChatGPT, Copilot, and Gemini to draft faster — and that's the right instinct. The opportunity is everything around the draft: the approvals, the audit trail, and the institutional context that let you trust AI across every contract, not just one.
- 01
Drafting is one step — contracting is the workflow around it
- 02
Approvals and audit trails are what make AI safe to scale
- 03
Your contract history is context no general model starts with
Watch · 30s
Inside IntelAgree
Saige Assist reads, extracts, and analyzes every contract — inside a governed, auditable workflow.
02The real question
The real question is not whether AI can help. It's whether it can be trusted inside your contract operations.
Most teams are stuck choosing between AI that's ungoverned and software that's inflexible. With IntelAgree, there's a third option.
Generic AI on its own (ChatGPT, Copilot)
- Siloed prompts and one-off outputs
- No native approval tracking
- Limited auditability
- Governance lives with people, not the system
- Context lives outside the AI workflow
Rigid SaaS CLM
- Rigid, pre-configured workflows
- Limited flexibility for business nuance
- Slow adaptation to process change
- AI bolted on after the fact
Recommended
Fully Governed, AI-Native CLM
- AI operating inside controlled workflows
- Approvals, compliance, and audit trails built in
- Full contract lifecycle context
- Flexible where legal work varies
- Reliable enough for enterprise operations
03See it in the product
Where AI helps in contract work — and where it needs a system around it
Short clips from inside IntelAgree — AI review, risk scoring, in-Word drafting, plain-English search, and approval routing, all inside one governed workflow. Tap any clip to play.
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Risk scored on your rules, not a guess
Risk is calculated from the formula and attribute weights your team configures — auditable, not a black box.
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Approvals never wait for someone to come back
Out-of-office coverage keeps approvals routing to the right person, so contract workflows never stall.
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Ask your whole portfolio in plain English
Search and report across every contract in plain language — grounded in your own agreements, not the open web.
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Your whole portfolio, one dashboard
Reminders, approvals, and contract status tracked in one place — the accountability a chat thread can't keep.
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The full platform in about a minute
A quick tour of AI-native CLM — drafting, review, risk, approvals, and search working as one governed system.
01
Drafting is not the workflow.
A model can produce language, but contract lifecycle management depends on routing, approvals, obligations, fallback positions, version history, and accountability. A prompt is not a process.
02
Governance cannot be optional.
Legal and business teams need to know who approved what, which policies applied, what changed, and whether the right controls were followed. That accountability cannot live in a chat thread.
03
Context builds over time.
The best contract decisions depend on prior negotiations, counterparty history, business terms, clause positions, and institutional knowledge that no general-purpose model carries by default.
04
Flexibility needs guardrails.
AI is most useful when it adapts to how teams actually work while still operating inside trusted enterprise processes. Unconstrained flexibility is just risk with a better interface. See related thinking on Saige Assist and our technology approach.
05Questions worth asking
Asking yourself these questions?
Here's what we hear most often from teams like yours weighing a build vs. buy approach:
01
Can ChatGPT or Copilot review and draft contracts?
Yes, and many teams already do. General-purpose AI like ChatGPT and Copilot can draft and summarize contract language well. The gaps appear at enterprise scale: governance, approval routing, audit trails, compliance enforcement, and the institutional context that spans the full contract lifecycle. Those require workflow architecture, not a better prompt.
02
How is this different from the CLM platform we already use or evaluated?
Most CLM tools make you build every workflow in advance. IntelAgree's Dynamic Based on User Hierarchy routes approvals per the rules you set per contract type. You set the rules — who approves what, what triggers legal review, what counts as risky — and approvals route through the hierarchy you've defined.
03
What happens when AI gets better — are we buying something that becomes obsolete?
The contracts your team negotiates this year are what make next year's contracts smarter. That history — who approved what, why a fallback was accepted, where a counterparty pushed back — only exists if a system captured it as decisions got made. Better general AI doesn't change that. A more capable model added to your contract folder later can read what you signed, but it can't see the decisions behind it. The thing being built right now, by your team, in your workflows, is the dataset no model can backfill. The earlier you start capturing it, the more valuable it becomes.
04
Is it safe to put contracts into ChatGPT or Copilot?
It depends on where the contract goes. Pasting agreements into a public, general-purpose chatbot moves sensitive terms outside your controls, with no approval trail and no record of who saw what. IntelAgree runs AI on your contracts inside a governed, access-controlled environment with audit trails, maintained to SOC 2 Type II — so AI can read and draft without the data leaving your controls.
See how governed AI fits inside enterprise contract workflows.
Build AI contracting the right way06From the webinar
How teams are putting AI to work across contract operations
45 min
Watch the full replay
AI, Governance, and the Future of CLM
Full webinar replay
Why You're Underusing Your CLM Software (And How To Fix It) · 45 min
Don't just build AI into contracting. Build trust into the workflow.
We help teams bring AI into CLM with the governance, context, and control enterprise contracting requires.
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SOC 2 Type II
GDPR
HIPAA-ready