New Framework Proposed for AI Legal Reasoning: Mecellem Semantic Protocol

Traditional legal practice faces significant challenges in adapting to artificial intelligence, particularly due to its inherent tension between maintaining consistent norms and evolving societal conditions. Existing AI approaches, such as those based on simple codification or statistical analysis, are insufficient because legal reasoning is deeply context-dependent and cannot be reduced to mere data retrieval. The paper introduces the Mecellem semantic protocol, an innovative framework that redefines law as an "ontodynamic architecture." This protocol emphasizes the dynamic reconstruction of meaning through defined entity categories and layered knowledge, rather than treating law as a fixed system. It suggests that advanced AI systems like neurosymbolic models and knowledge graphs can only effectively address legal complexities when integrated within such a context-sensitive and auditable framework.