What it is
Agiloft is a no-code contract lifecycle management platform whose differentiator is configurability — the entire data model, workflows, and UI are reshaped by Legal Ops teams without engineering. It’s been a Gartner Leader for CLM most years since 2019. The AI layer (Agiloft AI) handles clause extraction, risk scoring, and contract authoring on top of the workflow engine.
Why it shows up in Legal Ops stacks
- No-code customization that actually holds up. Agiloft’s data model is a true configurable schema, not a templated form builder. Legal Ops teams routinely build contract types, intake forms, approval flows, and renewal automations without filing a vendor ticket.
- Strong fit for non-standard contract processes. Government, education, healthcare, and federal contractors use Agiloft because it bends to compliance-driven workflows that off-the-shelf CLMs (Ironclad, ContractPodAi) can’t easily accommodate.
- Predictable pricing relative to Icertis or Conga. Mid-market in-house teams routinely land Agiloft for a fraction of enterprise CLM pricing while keeping nearly all functional capabilities.
Pricing
- Custom, but typically transparent. Subscription priced per power user + lighter rates for read-only/approver users. Effective entry-point around $35K/year for small in-house teams; enterprise deployments scale to seven figures.
- Implementation cost is the variable. Agiloft’s flexibility is also its complexity — most rollouts use a partner or in-house Legal Ops engineer for 60-120 days of configuration.
- AI features are an add-on module, not bundled by default.
Best for
- Public sector, government contractors, and regulated industries with non-standard contract workflows
- Legal Ops teams with internal configuration capacity (a “Legal Ops engineer” role, or a strong partner)
- Mid-market in-house teams that find Ironclad too rigid and Concord too lightweight
Watch-outs
- Steeper learning curve than Ironclad — the configurability that’s a strength is also a setup tax
- AI features lag Harvey, Spellbook, Ironclad AI on pure quality; Agiloft’s bet is on the workflow engine, not the model
- UI feels dated compared to AI-native CLMs (SirionLabs, Luminance Corporate); functionality wins over aesthetics here