Icertis vs Agiloft: Which CLM for the US (2026)

Icertis and Agiloft are both capable enterprise contract lifecycle management (CLM) platforms, but they appeal to different buyers. Icertis is a broad enterprise CLM known for procurement depth at very large scale. Agiloft is known for being highly configurable through a no-code engine that teams can tailor without developers. For US buyers, the choice often comes down to whether you want a packaged enterprise platform or a flexible system you shape yourself. Here is an honest comparison. ## The real decision The honest question is how much you want to configure versus adopt out of the box. Icertis offers broad, packaged enterprise capability across contract types, entities, and suppliers, with strong AI and governance. Agiloft offers a flexible, no-code platform where administrators can model contract processes, data, and rules to fit unusual or evolving requirements without heavy custom code. If you want enterprise breadth delivered as a platform, lean Icertis; if you want deep configurability you control, lean Agiloft. ## Where Icertis leads Icertis is built for enterprise scale and breadth. Its strengths are handling very high contract volumes, deep obligation and compliance management, multi-entity and multi-language structures, a wide module footprint, and AI that reads and structures large portfolios across many contract types. It is often chosen by large, regulated, procurement-heavy organizations that need one enterprise system to govern commitments and risk. For breadth and governance at scale, Icertis is a credible leader. ## Where Agiloft leads Agiloft's strength is configurability. Its no-code platform lets administrators tailor workflows, data models, rules, and approvals to match specific processes, which suits organizations with unusual requirements or a desire to adapt the system over time without relying on developers. It is well regarded for flexibility and value, and for giving teams control over how the CLM behaves. For buyers who want to shape the platform to their process rather than adapt to it, Agiloft is a strong choice. ## Side by side | Dimension | Icertis | Agiloft | | --- | --- | --- | | Positioning | Broad enterprise CLM at large scale | Highly configurable no-code CLM | | Flexibility | Packaged platform with modules | Deep admin-level configurability | | AI focus | Portfolio structuring at scale | AI plus a tailorable engine | | Pricing | Quote-based, no public per-seat rate | Quote-based, no public per-seat rate | | Who configures | Vendor and implementation teams | In-house administrators, no code | | Best for | Large, governance-heavy estates | Teams wanting to tailor the system themselves | ## Implementation and effort Both are configuration-led enterprise platforms. Icertis deployments span many modules, entities, and integrations and are significant programs, usually with implementation support. Agiloft deployments center on configuring its no-code engine to your process, which gives flexibility but still takes design effort and administrative skill to do well. The difference is who holds the configuration power: with Agiloft, more of it sits with your own administrators over time. Budget design and setup time with either. ## Pricing Icertis and Agiloft are both sold through sales teams as enterprise products, and neither publishes a simple per-seat rate. Pricing depends on users, contract volume, modules, and configuration needs. You will need a scoped quote from each. Agiloft is often positioned as flexible and value-oriented, but confirm the specifics for your scope. Ask both for total cost including implementation, and for Agiloft, clarify what ongoing configuration your team can do without extra fees. ## What to confirm before you buy With Icertis, confirm the packaged platform covers your contract types and governance needs out of the box without heavy custom work. With Agiloft, have your own administrators configure a real process during the trial, since its value depends on how easily your team can shape and maintain the system over time. Test both on your actual contracts, not a generic demo, so configurability and fit are proven in practice. ## Honest verdict Choose Icertis if you are a large, procurement-heavy enterprise that wants a broad, packaged platform with deep obligation management, compliance, and multi-entity governance at scale. Choose Agiloft if you want a highly configurable, no-code CLM that your own administrators can tailor to specific or evolving processes without developers. Neither wins every scenario: Icertis leads on enterprise breadth and scale, Agiloft leads on configurability and in-house control. Match the tool to how much you want to shape the system yourself, and trial both. ## A third option worth a look If you are comparing Icertis and Agiloft partly on pricing transparency and AI, it is worth adding one more name. Adira is an AI contract workspace built on Anthropic's Claude that covers drafting, review, tracking, and governance in one place. It publishes per-seat pricing, Practice at 89 US dollars per seat per month and Firm at 179 US dollars per seat per month, both billed annually, with a 7-day free trial, so you can budget before you talk to sales. It models contracts as a structured clause tree rather than flat text, learns a firm-tuned company persona from your own documents, flags positions per clause as favorable, neutral, or unfavorable, and does not train on your contract corpus. Adira is India-first today and deepest there, so US teams should verify US-jurisdiction coverage for their contract types during the trial. It will not replace Icertis for large enterprise governance or Agiloft's deep configurability for every buyer, but for teams that want one transparent AI workspace, it is a fair addition to the shortlist. See Adira. ## Bottom line Icertis is the broad enterprise CLM for large, governance-heavy estates; Agiloft is the highly configurable, no-code CLM for teams that want to shape the system themselves. Decide whether you want a packaged platform or deep configurability, get scoped quotes, and test each on real contracts before you commit.