06 November 2026
AI, Epistemic Loss and Troubled Visions for Legal Pluralism
The aim of this article is not to simplify, but rather to establish that introducing AI in legal contexts is complicated, since epistemic injustice is entangled with the very design of the technology, its ethics and the socio-political contexts of its possible applications. How AI will change the practice of law through modelling reasons, generating texts, developing arguments for and against a case, predicting and explaining legal outcomes – I leave that for technologists and legal professionals to evaluate for themselves. Continue reading >>
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12 October 2026
What AI Cannot See
The legal traditions of Indigenous Peoples and of much of the non-Western world are characteristically oral, relational, etched in carvings, seasonal, performative, and place-based. Their normative content lives in narrative, genealogy, ceremony, and the deliberations of communities; their authority is constituted through relationships between people, land, ancestors, and the non-human world. An AI system built to learn from text does not merely fail to locate such law. It is architecturally incapable of recognising legal knowledge in the forms in which that law exists. Continue reading >>
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