Agiloft in 2026: No-Code CLM Review, Pricing, and Alternatives

Agiloft occupies a distinct position in the contract lifecycle management market: it is the most configurable no-code platform in the category. Founded in 1990 by Colin Earl, who remains with the company as chief technology officer, Agiloft spent its first two decades as a flexible business-process platform before sharpening its focus on contract lifecycle management. The result is a CLM whose core selling point is not a single headline AI feature but the depth of configuration available to non-technical administrators, which is exactly the capability that buyers with complex, non-standard contract and approval processes tend to value most and that the more opinionated, workflow-prescriptive competitors tend to constrain.

This page covers what Agiloft is in 2026, the ownership picture after KKR took a majority stake, the Astra contract AI product, the qualitative pricing bands, the honest ICP, and the realistic alternatives for buyers who arrive here searching for an Agiloft comparison or an Agiloft alternative.

Ownership: KKR Majority Since 2024

In May 2024, a fund managed by KKR agreed to acquire a majority stake in Agiloft, with existing investor FTV Capital making an additional investment and JMI Equity joining as a new investor. FTV Capital had previously led a $45 million growth investment in Agiloft in 2020. The KKR transaction signals a growth-and-scale phase for the company rather than an absorption into a larger product suite, which distinguishes Agiloft's situation from the platform-aggregation acquisitions of Lexion (now part of DocuSign), Kira (now a Litera module), and Evisort (now a Workday product). Agiloft continues to be sold and roadmapped as a standalone CLM, and buyers should evaluate it as an independent vendor with private-equity backing rather than as a feature inside a broader platform.

What Agiloft Is in 2026

Agiloft in 2026 is a full-stack CLM covering contract intake, authoring, negotiation, approval workflow, repository, and post-signature obligation tracking, with the platform's no-code engine as the throughline. The no-code positioning is genuine and material: administrators can build and modify workflows, approval rules, data models, and integrations through configuration rather than custom development, which lowers the dependence on vendor professional services for ongoing change. For organisations whose contract processes do not fit a standard template, this is the capability that most often justifies choosing Agiloft over a more prescriptive competitor.

The trade-off is that configurability is a double-edged capability. The same flexibility that lets a sophisticated administrator model a complex process precisely also means the platform demands a competent owner. Teams that want an opinionated, fast-to-deploy tool with sensible defaults sometimes find Agiloft's surface area larger than they need; teams with genuinely non-standard requirements find that surface area is the point. Agiloft also advertises an integration hub connecting to a large number of business systems, which matters for buyers embedding CLM into an existing ERP, CRM, or procurement stack.

Astra: Agiloft's Contract AI

Agiloft's AI layer is branded Astra, an AI-assisted contract review and analysis product that grew in part out of Agiloft's acquisition of Screens, a UK-based legal technology company. In 2026 Agiloft positioned Astra with a free tier intended to make enterprise-grade contract analytics accessible without the cost and rollout typically associated with that class of tool. For buyers evaluating Agiloft specifically on AI capability, Astra is the surface to test against the genAI-native review tools; for buyers evaluating Agiloft on workflow and configurability, Astra is a complement to, rather than the centre of, the value proposition. As with any LLM-assisted review product, attorney supervision remains required under ABA Model Rule 5.3 and the relevant state bar AI guidance, and the usual hallucination-risk caveats apply.

Agiloft Pricing in 2026

Honest 2026 ICP

The strongest case for Agiloft is an enterprise legal, procurement, or operations team with complex, non-standard contract and approval processes that wants to own its configuration in-house. Organisations in regulated or operationally intricate industries, and teams that have outgrown a prescriptive CLM because their process does not fit the vendor's template, are the buyers for whom Agiloft's no-code depth pays off. The integration hub and the standalone, PE-backed independence are additional points in its favour for buyers wary of platform-aggregation roadmaps.

The weaker case is for teams whose primary need is fast AI redlining of inbound contracts with minimal setup. For that workload, the genAI-native review tools deploy faster and present a smaller surface. In-house teams whose dominant use case is reviewing NDAs, MSAs, and vendor contracts at speed should weigh Spellbook, Harvey, or Robin AI for the review-first workload, and treat Agiloft as the answer when configurable workflow, not redlining speed, is the binding constraint.

The Best Agiloft Alternatives

Buyers searching for an Agiloft alternative usually fall into one of a few patterns, and the right alternative depends on which one fits.

• Ironclad if you want enterprise-grade workflow and integrations but a more opinionated, less configuration-heavy starting point. Ironclad makes more decisions for you; Agiloft hands you more of the dial.
• Evisort (now a Workday product) if mid-market AI extraction accuracy is your primary criterion and you run a Microsoft 365 or Workday stack.
• LinkSquares if your value-add is surfacing contract data as business intelligence to finance and operations.
• Juro if you are a smaller team that wants a self-serve, fast-to-deploy CLM without an enterprise-tier configuration project.
• Spellbook or Harvey if the real job is AI redlining and review rather than full lifecycle management.

The Verdict

Agiloft in 2026 is a mature, independent, no-code CLM whose configurability is its defining strength and, for the wrong buyer, its defining burden. It is the right answer for enterprise teams with complex, non-standard processes that want to own their configuration; it is a heavier starting point than the genAI-native tools for teams whose primary need is fast contract review. The KKR majority investment positions it for continued standalone growth rather than absorption, which is a genuine point of difference from the acquired vendors elsewhere in this comparison set. Our platforms compared page covers the full 13-platform landscape, and our pricing models page sets Agiloft's band in context against the rest of the field.

Independent editorial. No affiliate or referral relationship with Agiloft or any vendor named on this page. Pricing bands compiled from public sources and third-party marketplace benchmarks as of June 2026; verify current terms directly with vendors. Educational content about AI tooling for legal teams, not legal advice. Consult a qualified attorney for matter-specific guidance on contract review workflows and on the ethics of AI tool use under your state bar's current AI guidance.