A repository is notthe job.
Most organisations that say they have CLM have a searchable folder. The renewals still lapse, the obligations still go untracked, and the same term still gets negotiated twice — because storing a document better was never what was hurting.
iLeaf builds contract systems that read what you already hold and act on it. You can open one now and try it.
Running system, not a screenshot
Open the demo and put a real contract through it.
No form, no scheduled walkthrough. It is the same product we deploy, running on sample data — so judge it the way you would judge anything you were about to buy.
Opens Legaltrack AI’s CLM demo in a new tab.
The work a folder cannot do.
Every obligation, extracted
Payment terms, SLAs, notice periods, indemnities and caps read out of the contract itself, not re-keyed by someone into a spreadsheet that goes stale in a month.
Renewals before they lapse
Auto-renew and notice windows surfaced with enough runway to actually act — the single most expensive thing a contract repository silently fails to do.
Ask the portfolio a question
“Which contracts cap our liability below £1M?” answered across everything you hold, with the clause and the document cited so it can be verified.
Drafting that knows your positions
First drafts and redlines from your own precedent and fallback positions, so negotiation starts from what you have already agreed rather than from a template.
Deviation flagged on arrival
Incoming paper compared against your standard terms, with what differs and how far outside policy it sits shown before anyone signs.
An audit trail that holds up
Who changed what, when, on whose approval — recorded because a contract system that cannot reconstruct a decision is a filing cabinet with a login.
Wraps what you already run
An agentic layer over Ironclad, Salesforce and SAP rather than a migration off them — integration-first, not rip-and-replace, with output to CSV, JSON or Airtable in the format your team already works in.
AI on a broken process gives you wrong answers faster.
If nobody owns renewals today, a model that spots them changes nothing — the alert goes to the same person who was already ignoring the spreadsheet. If your standard terms exist in four versions, deviation detection tells you about all four.
So we look at the process before the technology, and say when ordinary engineering or a policy decision would fix it more cheaply. It is the same reason we once talked a client out of $14,000 of AI they did not need.
Private by default, because these are your contracts.
Contract text is among the most sensitive material a business holds, much of it privileged. iLeaf deployments are private by default and your data is never used to train public models — and where it must stay inside your own estate, we have run AI entirely on a client’s own hardware before.
- GDPR
- ISO 27001
- SOC 2
- On-premise deployment available
What people ask about CLM.
What is contract lifecycle management?
Contract lifecycle management is the handling of a contract from request and drafting through negotiation, approval, signature, and then the part that actually costs money — tracking the obligations, renewals and deadlines inside it. iLeaf Solutions builds CLM systems where that tracking is read from the contracts themselves rather than re-keyed by hand.
Can we try iLeaf's CLM before talking to anyone?
Yes. There is a live demo at usclmdemo.legaltrackai.com — the same product iLeaf Solutions deploys, running on sample data, with no form and no scheduled walkthrough. Open it, put a contract-shaped problem through it, and judge it the way you would judge anything you were about to buy.
We already have a CLM system. Why would we need this?
Most organisations that have CLM have a searchable repository — and still miss renewals, still lose track of obligations, still negotiate the same term twice. Storing the document better was never the problem. iLeaf Solutions builds the layer that reads what you hold and acts on it.
Will AI fix our contract process?
Not on its own, and iLeaf Solutions will say so. If nobody owns renewals today, a model that spots them changes nothing — the alert reaches the same person already ignoring the spreadsheet. We look at the process before the technology and flag when a policy decision or ordinary engineering would fix it more cheaply.
Is our contract data used to train models?
No. iLeaf Solutions deployments are private by default and client data is never used to train public models, which matters especially for contract text covered by privilege. Where data must remain inside your own estate, iLeaf has run AI entirely on a client's own hardware.
How does it handle contracts we did not write?
Incoming third-party paper is compared against your own standard terms and fallback positions, with deviations flagged and their distance from policy shown before signature. That is usually where the risk enters — in the contracts drafted by the other side.