We’ve been analyzing how people are using LLMs for legal and compliance tasks (GDPR, AI Act, etc.).

Reddit r/ArtificialInteligence News

Summary

Analysis of LLM usage in legal and compliance tasks reveals that models often produce confident but unverifiable citations, raising questions about reliable legal grounding for AI outputs.

One thing keeps coming up: Models often produce very confident legal answers, but the citations are either missing, outdated, or not traceable to official consolidated sources. Even when they cite something, it’s not always clear if it reflects the current version of the law. I’m curious how others handle this in practice: Do you rely on manual verification every time? Or is there already a reliable way teams are solving the “verifiable legal grounding” problem for AI outputs?
Original Article

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