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This shift is primarily driven by the growing availability of legal data and recent advances in Artificial Intelligence (AI), Knowledge Representation and Reasoning (KRR), Natural Language Processing (NLP), Large Language Models (LLMs), and Process-Oriented Data Science. To explore these changes, the KM4LAW workshop provides an interdisciplinary forum for researchers and practitioners. We welcome contributions addressing the extraction, representation, interpretation, and use of legal knowledge from structured and unstructured sources. Relevant topics include legal ontologies, knowledge graphs, information extraction, argumentation, explainable AI for law, multilingual legal NLP (including cross-lingual transfer, semantic alignment, and legal translation), and the application of LLMs to tasks like summarisation, classification, and decision support. 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