Global HCM leader migrates 700K contracts in six months with 65% reduction in manual effort using AI

A global multi-billion dollar human capital management (HCM) company needed to migrate 700K legacy contracts into a modern CLM system within six months, with speed, precision and legal intelligence at once. Elevate's page says off-the-shelf automation tools failed to handle the scale and complexity. The repository was large, unstructured and cluttered: inconsistent naming conventions (such as DBA/FKA variations), duplicates with subtle redlines, minimal metadata and poor hierarchy visibility, and drafts, unsigned versions and incomplete contract families.

The team used Elevate's AI-powered integrated Enterprise Legal Management platform, a core component of its Contracts Insights solution, which blends automation with expert-led contextual review. It enriched key metadata and mapped parent-child relationships in a single pass, isolated duplicates, unsigned drafts, incomplete families and out-of-scope documents so only relevant contracts progressed to migration, and used AI to retain documents meeting accuracy thresholds, narrowing the review scope. Semantic document clustering supported batch review, built-in OCR handled scanned files, and daily logs were merged into a real-time project view. The page does not name the customer or the CLM system the contracts moved into.

Elevate reports 700,000 contracts processed in six months, >99% accuracy across extracted metadata, a ~65% reduction in manual effort, 100% completeness validation across contract families, a real-time dashboard for project visibility, and "predictable, AI-optimised pricing for cost control". The page is Elevate's own and does not give a baseline for the ~65% or say how accuracy was measured.

• Elevate describes enriching metadata and mapping parent-child relationships in one pass as what reduced processing time.
• Isolating duplicates, unsigned drafts, incomplete families and out-of-scope documents before migration kept the review scope to relevant contracts.
• Hierarchy mapping drew on party names, dates and naming conventions, with anomalies and missing links flagged in real time.
• Daily processing logs merged into a unified dashboard gave real-time visibility of the project.