21 October 2026
Can We Do Without Legal Scholars?
The impact of AI on research has already led to much reflection in general and, more recently, on legal scholarship in particular, including first attempts to measure how far the practice has spread, and to examine what happens when generative systems interpose themselves between readers and law review articles. On a similar note, we have recently argued that the way researchers build their scholarship is itself under threat, and that the response required is institutional. In this blogpost, we extend that argument to legal research, where it acquires a further consequence. 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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