Assemblage Mapping as a Tool for Accountability in AI-Supported Legal Advice
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Summary
This article examines how AI is reshaping legal advice at the infrastructure level, arguing that legally consequential guidance is increasingly produced through complex configurations of people, documents, interfaces, and retrieval systems. The authors propose "assemblage mapping" as a methodology to visualize and analyze these socio-technical systems, with the goal of improving accountability in AI-supported legal advice. The piece focuses on the implications for access to justice and the need for transparency in how AI tools are integrated into legal advisory processes.
Key quotes
· 3 pulledLegal advice is increasingly being reorganised at the level of infrastructure.
Lawyers, advisers and advice organisations may use AI to draft, search or summarise; but the deeper shift is that legally consequential guidance is increasingly produced through configurations of people, documents, interfaces, retrieval systems.
Assemblage mapping offers a way to see the system — to trace how legal advice is actually produced in practice.
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