Bridging Indigenous Cultural Law and Institutional Legal Frameworks Towards Equitable, Ethical, and eXplainable AI Models in Litigation
As AI reshapes litigation and legal decision-making, the question is no longer whether these systems will influence justice but whose knowledge they will reflect. This article explores how integrating Indigenous Cultural Law alongside institutional legal frameworks can transform legal AI into a more equitable, ethical, and explainable tool. Drawing on the lessons of the MAGIC Project and JurisTechne’s research direction, it argues that inclusive, culturally respectful data practices are essential to reducing systemic bias, enhancing transparency, and ensuring AI-driven legal models uphold justice for all.
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