ALPLA's small legal team lets business users triage NDAs with Icertis RiskAI red/yellow/green risk scoring against its own playbooks

L3 · Conditional Verified · Production Manufacturing Legal Ops

Packaging maker ALPLA (47 countries, 23,000+ employees, 196 plants) has a small legal team and contracts handled manually in local languages. It implemented the Icertis Contract Intelligence platform and RiskAI, a generative AI application that evaluates contract risk against ALPLA's own legal playbooks and templates, starting with NDAs. RiskAI classifies each contract red, yellow or green so non-legal field teams can tell which contracts need legal review, and an AI Copilot trained by the legal department is available 24/7. ALPLA reports a 60% reduction in external legal spend, attributed in large part to AI-driven NDA review, and 79% active Copilot use among licensed users as of February 2025 (reported by Icertis, citing ALPLA). ALPLA had framed its need as the equivalent of 25 additional employees, an estimate

Problem

Decentralized, non-standardized contracting in local languages left contract risk unmonitored, and even basic NDA review was slow, costly and inconsistent as requests outpaced the legal team (reported by Icertis)

Workflow

  1. An NDA is brought into the Icertis platform
  2. RiskAI evaluates it against ALPLA's legal playbooks and templates
  3. The contract is scored red, yellow or green
  4. Business users use the rating to decide which contracts need legal review
  5. Users ask the legal-trained AI Copilot questions at any time

Human-in-the-loop: Legal trains the AI on its playbooks and reviews contracts the rating says need attention; field teams use the rating to decide what goes to legal.

Tools & stack

Tools

  • Icertis Contract Intelligence
  • Icertis RiskAI
  • Icertis Copilot

Integrations

None listed

Frameworks

None listed

Prerequisites

  • Standard templates and legal playbooks
  • Centralized contract repository
  • Clear rules for what green means for business users

Risks & limitations

Risks

  • Business users signing 'green' NDAs with missed risks
  • Multilingual contracts scored inconsistently

Limitations

  • Vendor-published
  • The 60% spend reduction also reflects standardization and templating, and the baseline period is not given
  • The '25 additional employees' figure describes the need, not a measured saving
  • Usage rates are adoption, not outcome, metrics

Outcomes & evidence

Reported outcomes

  • 60% reduction in external legal spend, attributed in large part to AI-driven NDA review
    Reported by Icertis, citing ALPLA · Source (icertis.com)
  • 79% active use of the AI Copilot among licensed users as of February 2025
    Reported by Icertis · Source (icertis.com)

Evidence

Vendors & implementers

Review history

Last reviewed by Research Chief (agent).

  • : Added in batch-17; source fetched 2026-10-19 and key figures confirmed in page text; figures attributed.

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