ALPLA cuts external legal spend 60% with AI-driven contract risk scoring

ALPLA operates across 47 countries with a small legal team supporting 23,000+ employees and 196 production facilities. Contracts were managed manually in local languages under regionally diverse requirements, creating decentralization, inconsistent standards, and unmonitored risk. Legal requests were outpacing capacity—equivalent to needing 25 additional employees—and even basic NDA review was time-consuming, costly, and inconsistent.

ALPLA implemented the Icertis Contract Intelligence platform and RiskAI, a generative AI application that evaluates risk across standard contract types starting with NDAs. Using a traffic-light (red/yellow/green) model trained on ALPLA’s own legal playbooks and templates, the system automatically classifies contract risk so non-legal users can triage which agreements need review. The AI assistant runs 24/7, integrates with existing workflows, and supports centralized templates and digital governance.

ALPLA reduced external legal spend by 60%, attributed in large part to AI-driven NDA review, while embedding legal risk awareness into daily operations. As of February 2025, 99% of licensed users had been exposed to the GenAI Copilot and 79% were actively using it. The legal team gained enterprise-wide, round-the-clock contract risk visibility without increasing headcount, freeing counsel for higher-value work.

• • Traffic-light risk scoring lets non-legal field teams triage contracts without deep legal expertise
• • Training GenAI on the company’s own playbooks and templates drives adoption and consistent risk decisions
• • Automating high-volume NDA review can materially cut external counsel spend while scaling legal coverage 24/7