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Legal automation requires not only the ability to represent legal texts in structured formats but also to capture their normative meaning in a way that supports automated reasoning. This tutorial focuses on two key standards Akoma Ntoso for the semantic representation of legal documents and LegalRuleML for modelling legal rules and norms—to enable end-to-end legal automation. Participants will learn how to transform unstructured legal texts into richly annotated, machine-readable documents using Akoma Ntoso, and how to express obligations, permissions, prohibitions, and exceptions using LegalRuleML. The tutorial will demonstrate how these knowledge based technologies can be combined to build automated compliance systems, support legal reasoning, and deliver explainable outcomes. Real-world use cases from regulatory compliance and policy-driven systems will illustrate how these standards bridge the gap between legal drafting and executable models.
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