In today’s digital landscape, the protection of personal data is critical, with the General Data Protection Regulation (GDPR) serving as a key legal framework to safeguard privacy. However, organizations struggle with compliance due to the complexity of legal texts, frequent regulatory updates, and the challenge of making privacy policies transparent. This paper explores how Natural Language Processing (NLP) can automate GDPR compliance by analyzing privacy policies, extracting key clauses, and improving regulatory adaptability. We evaluate different NLP models to determine the most efficient approach for compliance verification and legal text simplification. Our findings highlight NLP’s potential to reduce manual effort and ensure continuous compliance in the modern evolving regulatory environment.