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Generative AI risks to legal privilege detailed in new arXiv paper

A new paper published on arXiv explores the confidentiality and legal privilege risks associated with generative AI systems. It details how data is stored and processed through model parameters, context windows, and retrieval-augmented generation (RAG), highlighting unique risks for each. The analysis draws on legal precedents from the UK and US, alongside computer science research, to guide legal professionals in England and Wales on effective data governance and potential negligence in the deployment of GenAI. AI

IMPACT Highlights evolving data governance standards and potential negligence risks for legal professionals using generative AI.

RANK_REASON The cluster contains a research paper published on arXiv discussing AI safety and legal implications. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.AI →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Generative AI risks to legal privilege detailed in new arXiv paper

COVERAGE [1]

  1. arXiv cs.AI TIER_1 English(EN) · V\'aclav Jane\v{c}ek, Thomas Melham ·

    Privilege and confidentiality in generative AI workflows

    arXiv:2607.05479v1 Announce Type: cross Abstract: Generative AI (GenAI) systems store and process client data in three distinct ways: in the model's parameters through training and memorisation, in the context window during a live session, and in knowledge databases for retrieval…