RegulAIze

The rapid expansion of EU regulations such as GDPR, AI Act and Data Act creates major challenges for organisations that must continuously demonstrate compliance. Manual interpretation of legal texts, fragmented reporting tools, and siloed infrastructures increase administrative costs and risks, particularly for SMEs. In parallel, the emergence of European data spaces and AI-driven services requires secure, transparent and interoperable infrastructures where compliance is embedded as a core property. RegulAIze delivers an end-to-end framework for regulatory compliance, creating a smart and trustworthy data ecosystem in which organisations can exploit AI-powered technologies across the compliance lifecycle. This is achieved through automated compliance mechanisms, NLP-based legal assistants, privacy-enhancing technologies, secure and auditable data transactions, semantic interoperability layers, and vector-database reasoning engines. The project focuses on seven objectives: (1) transform legal texts into machine-readable obligations using explainable LLMs; (2) issue verifiable Compliance Cards as blockchain-anchored credentials for datasets, AI models and processes; (3) integrate federated learning, fully homomorphic encryption and zero-knowledge proofs for secure data operations; (4) build synthetic data pipelines and digital twin validation to ensure representativeness and bias mitigation; (5) deploy compliance knowledge graphs with advanced vector search for semantic reasoning; (6) establish the RegulAIze Academy for training and skills development; and (7) validate the framework in six pilots across mobility, tourism, AI factories, legal services and cross-sector domains. By being fully aligned with Horizon Europe Destination 3, RegulAIze incorporates automated verification into European data spaces to reduce compliance costs, build trust in AI and data services and enable scalable, privacy-preserving innovation.