Use of Generative Artificial Intelligence for Managerial Verification in Multinational Contract Management.

An Integrative Review and Inductive Study

Abstract

The expansion of organizational activities across national boundaries has intensified challenges related to legal and regulatory compliance, given the variability of tax, labor, environmental, and safety frameworks across jurisdictions. While large multinational corporations typically rely on permanent and specialized compliance structures, small and medium-sized multinational enterprises often operate under resource constraints that limit their ability to sustain comparable systems.

This article examines the application of artificial intelligence (AI), specifically Microsoft Copilot, as a managerial support mechanism for internal verification of regulatory and legal compliance in multinational operations. A qualitative, exploratory, and inductive design was adopted, integrating an integrative literature review with an inductive case study grounded in documented contract management practices within a small European multinational organization.

The findings indicate a gradual shift toward higher-quality outputs as the AI system becomes increasingly contextualized, reflected in improved coherence, verification practices, and traceability of managerial decisions. In the real-world case analyzed, AI-assisted assessments were fully consistent with the conclusions reached by external legal counsel. These results suggest that AI embedded in office productivity platforms can enhance managerial verification processes in small multinational firms when deployed under explicit human supervision and responsible governance frameworks.