Icertis

Enterprise contract intelligence platform used by more than 30% of the Fortune 100

Overview

Icertis is an enterprise contract lifecycle management vendor founded in 2009. It describes itself as profitable, employs more than 2,000 people across nine global offices and supports contracts in more than 90 countries and over 40 languages[1]. The company states that more than 30% of the Fortune 100 use its platform, and it names Microsoft, Mercedes-Benz, Hewlett Packard Enterprise, Accenture, Enbridge and Smurfit Westrock among its customers[1][2].

The Icertis Platform is marketed as an “AI-native contract intelligence platform” organised into three areas: Engage (authoring, playbook creation, risk review and redlining agents), Operate (contract management, obligations and fulfilment) and Analyze (analytics, insights and reporting). Its AI layer is branded Vera, with named agents such as the Vera Redline Agent and Vera Risk Review Agent[2]. Icertis states it was named a Leader in the IDC MarketScape for worldwide CLM software for corporate legal, 2026–2027, and rated top CLM vendor by MGI Research for a third consecutive year[2].

Icertis is designed for large, multi-entity organisations with complex buy-side and sell-side contracting, and implementations are correspondingly substantial. It publishes no pricing, and its depth is more than most mid-sized companies need.

Icertis features

  • Vera AI agents for drafting, risk review and redlining
  • Obligation and fulfilment tracking
  • Playbook creation agent
  • Analytics, insights and operational data store reporting
  • Contracts in 40+ languages
  • Enterprise integrations layer

Icertis pricing

Quote-based. Icertis does not publish plans or prices on its website.

Icertis strengths and limitations

Strengths

  • Breadth across buy-side, sell-side and obligations
  • Large named enterprise customer base
  • Dated analyst recognition (IDC 2026–2027, MGI 2026)
  • Multilingual contract support

Limitations

  • No published pricing
  • Scale and configuration effort exceed mid-market needs
  • Agent-branded modules make scope comparisons harder

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