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Agiloft and Icertis used to meet in the same enterprise CLM bake-off — both quote-only, both scored on the same RFP grid. That symmetry broke in 2026. Agiloft put a free contract-AI product in front of its platform: Astra, generally available 14 July 2026, with published prices and unlimited users at $0. Icertis went the other way and pushed deeper into source-to-pay, shipping the Vera agent line and an SAP-embedded edition sold through SAP’s own catalog.
The question is no longer which CLM scores higher on a feature grid. It is whether you want a contract system you configure yourself and can test before you buy, or contract intelligence embedded in the ERP where your procurement spend already lives.
What changed in 2026
Agiloft shipped Astra as a product separate from the CLM. It reviews and redlines inside Microsoft Word, applies playbooks, and answers plain-language questions across a contract portfolio. Two bridges connect it back to the platform. Ask AI sends a contract from the CLM repository into Astra for analysis; AI-Assisted Contract Intake turns an extracted document into a structured CLM record.
Icertis rebuilt its front end around Vera on 2 June 2026 — Vera Copilot as the conversational layer, Vera Engage for agent-drafted redlining, Vera Analytics for risk exposure scored against business events. The named agents span both sides of signature: Composer, Redline, and Playbook Creation before, Insights and Fulfillment after. The pre-signature half came from Dioptra, acquired 19 November 2025 for its surgical redlining and its ability to generate a playbook out of contracts you have already signed.
Where Agiloft wins
You can test the AI for $0 before buying anything. Astra’s free plan carries unlimited users across the organization, 1,000 analysis credits a month, and up to 3 custom playbooks. Review and redlining in the Word add-in consume no credits at all — only analysis and extraction draw them down. No enterprise CLM competitor offers a comparable no-cost evaluation path.
No-code configuration that survives a weird process. Agiloft’s data model is a configurable schema, not a form builder. Legal Ops teams build contract types, intake forms, approval chains, and renewal automations without filing a vendor ticket. That is why compliance-driven workflows in government, education, and healthcare land here rather than on a templated CLM like Ironclad.
A cost structure that fits below the Fortune 500. The full CLM runs roughly $35K/year at the entry point for a small in-house team. That is inside the budget of a legal department Icertis would not staff a deal team for.
Astra’s prices are published. Pro starts at $120/month ($1,200/year) for 2,500 credits and scales on a fixed ladder to $2,040/month ($20,400/year) at 40,000 credits. You size the spend from a usage estimate instead of a discovery call.
Where Icertis wins
Contract intelligence inside source-to-pay. Icertis is an SAP solution extension, sold as SAP Ariba Contract Intelligence by Icertis and wired into SAP Ariba Sourcing, Buying, Central Procurement, Fieldglass, and S/4HANA. When contract data has to move with the requisition and the invoice, that is a different class of integration than an API connector.
Proven at global scale. More than a third of the Fortune 100 run Icertis, across more than 90 countries. Multi-entity, multi-currency repositories with row-level access control are the standard deployment shape here, not an edge case.
Post-signature agents are first-class. Vera Fulfillment tracks service credits, implementation timelines, and feature-delivery commitments. Vera Insights monitors risk and obligation across the executed portfolio. Value leakage after signature is the problem Icertis instruments best.
Public sector reach through SAP. The April 2026 SAP expansion brought the Ariba edition to federal agencies and government contractors. Agiloft serves the same buyers, but has to satisfy procurement compliance on its own rather than inside the ERP the agency already runs.
Pricing reality
Neither platform publishes CLM pricing; both are quote-only. What separates them is a tier, not a discount. Agiloft lands around $35K/year for a small in-house team and scales into seven figures on global deployments. Icertis annual subscriptions run roughly $150K-$500K+, and its reported average revenue per customer sits in the $1.1M-$1.4M range — a signal about which deals it wants.
Astra is the one place with a published number, and it does not compare to a CLM subscription. Free is $0 for unlimited users and 1,000 credits a month. Pro entry is $1,200/year. The top of the published ladder is $20,400/year at 40,000 credits. Read that as the price of contract AI, not the price of a contract system: Astra has no repository, no approval workflow, and no obligation tracking.
Implementation is where the rest of the bill lands. Agiloft configuration runs 60-120 days and wants a partner or an internal Legal Ops engineer. Icertis runs 6-12 months with Accenture, Deloitte, or Cognizant staffing it, and that services engagement is itself six figures.
The trap to avoid
Astra’s free tier makes Agiloft look an order of magnitude cheaper than Icertis. It is not the same purchase. A team that adopts Astra, likes it, then discovers it needs intake, approvals, and a searchable repository is buying the Agiloft CLM at quote-only enterprise pricing. The free plan bought an evaluation, not a platform. Guard against it by scoping the CLM quote in parallel with the Astra pilot, not after it.
The mirror-image trap on the Icertis side: buying the platform for AI quality. Vera is competitive, and Dioptra sharpened the pre-signature half, but Icertis’s defensible advantage is ERP depth and global governance. If AI review quality is the deciding criterion and procurement integration is not, you are paying six figures for the wrong reason.
Verdict
Pick Agiloft when your contract process is non-standard enough that configurability beats vendor best practice; when your legal department sits under ~$1B revenue; or when you want to prove the AI works on your own contracts before signing. Astra’s free plan is the only way to do that in this category.
Pick Icertis when procurement spend is the reason you are buying and contracts have to move with requisitions inside SAP; when the estate spans dozens of countries, entities, and currencies; or when post-signature obligation and value leakage is the loss you are trying to stop.
Pick neither when you are a sales-led company that needs contracts signed faster and nothing more. Ironclad or Juro reaches signature with far less setup, and Concord covers a small repository at a fraction of either price. If post-signature supplier management is the entire job, SirionLabs is the sharper instrument — see Icertis vs SirionLabs.
Default pick when you cannot separate those conditions: start with Agiloft. Run Astra’s free plan against 20 of your own contracts for two weeks. You will learn more about fit than an RFP cycle produces, and the exercise costs nothing. Move to Icertis when it shows the real problem is not review speed but contract data that has to live inside procurement.
Agiloft and Icertis used to meet in the same enterprise CLM bake-off — both quote-only, both scored on the same RFP grid. That symmetry broke in 2026. Agiloft put a free contract-AI product in front of its platform: Astra, generally available 14 July 2026, with published prices and unlimited users at $0. Icertis went the other way and pushed deeper into source-to-pay, shipping the Vera agent line and an SAP-embedded edition sold through SAP’s own catalog.
The question is no longer which CLM scores higher on a feature grid. It is whether you want a contract system you configure yourself and can test before you buy, or contract intelligence embedded in the ERP where your procurement spend already lives.
What changed in 2026
Agiloft shipped Astra as a product separate from the CLM. It reviews and redlines inside Microsoft Word, applies playbooks, and answers plain-language questions across a contract portfolio. Two bridges connect it back to the platform. Ask AI sends a contract from the CLM repository into Astra for analysis; AI-Assisted Contract Intake turns an extracted document into a structured CLM record.
Icertis rebuilt its front end around Vera on 2 June 2026 — Vera Copilot as the conversational layer, Vera Engage for agent-drafted redlining, Vera Analytics for risk exposure scored against business events. The named agents span both sides of signature: Composer, Redline, and Playbook Creation before, Insights and Fulfillment after. The pre-signature half came from Dioptra, acquired 19 November 2025 for its surgical redlining and its ability to generate a playbook out of contracts you have already signed.
Where Agiloft wins
Where Icertis wins
Pricing reality
Neither platform publishes CLM pricing; both are quote-only. What separates them is a tier, not a discount. Agiloft lands around $35K/year for a small in-house team and scales into seven figures on global deployments. Icertis annual subscriptions run roughly $150K-$500K+, and its reported average revenue per customer sits in the $1.1M-$1.4M range — a signal about which deals it wants.
Astra is the one place with a published number, and it does not compare to a CLM subscription. Free is $0 for unlimited users and 1,000 credits a month. Pro entry is $1,200/year. The top of the published ladder is $20,400/year at 40,000 credits. Read that as the price of contract AI, not the price of a contract system: Astra has no repository, no approval workflow, and no obligation tracking.
Implementation is where the rest of the bill lands. Agiloft configuration runs 60-120 days and wants a partner or an internal Legal Ops engineer. Icertis runs 6-12 months with Accenture, Deloitte, or Cognizant staffing it, and that services engagement is itself six figures.
The trap to avoid
Astra’s free tier makes Agiloft look an order of magnitude cheaper than Icertis. It is not the same purchase. A team that adopts Astra, likes it, then discovers it needs intake, approvals, and a searchable repository is buying the Agiloft CLM at quote-only enterprise pricing. The free plan bought an evaluation, not a platform. Guard against it by scoping the CLM quote in parallel with the Astra pilot, not after it.
The mirror-image trap on the Icertis side: buying the platform for AI quality. Vera is competitive, and Dioptra sharpened the pre-signature half, but Icertis’s defensible advantage is ERP depth and global governance. If AI review quality is the deciding criterion and procurement integration is not, you are paying six figures for the wrong reason.
Verdict
Default pick when you cannot separate those conditions: start with Agiloft. Run Astra’s free plan against 20 of your own contracts for two weeks. You will learn more about fit than an RFP cycle produces, and the exercise costs nothing. Move to Icertis when it shows the real problem is not review speed but contract data that has to live inside procurement.