Leading LLMs hallucinated legal authorities in 58%-88% of tested cases while failing to recognise incorrect legal assumptions in prompts¶
Claim · All claims
Evidence · 1 study · theoreticalr2·q2
Currency · newest study 2026 · not yet checked against its sources · not reviewed by a person · recheck by 2029: tool and model accuracy changes quickly
Subclaims¶
Reading the evidence codes
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q2 i? In the legal domain, leading LLMs hallucinated legal authorities in 58%-88% of tested cases and failed to recognise incorrect legal assumptions in users' prompts. → Łucja Biel 2026
Evidence¶
Łucja Biel 2026¶
Łucja Biel. (2026). AI Literacy for Legal Translation: Developing Digital Resilience. University of Warsaw. https://arxiv.org/abs/2608.04641 doi:10.48550/arxiv.2608.04641
q2 · i? · theoretical · r2
The chapter reports, citing Dahl et al. (2024), that leading LLMs "hallucinated legal authorities in 58% -88% of tested cases"; the reviewed study's design is not described in the chapter, so this is a second-hand citation.
"Dahl et al. (2024) found that leading LLMs hallucinated legal authorities in 58% -88% of tested cases while failing to recognise incorrect legal assumptions in users’ prompts."
Discussion¶
Related Claims¶
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- Reviewed literature reports risks of overreliance, AI errors in complex tasks, and students' uncritical acceptance of AI-generated outputs
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
llms-hallucinate-legal-authorities-58-88 |
title |
Leading LLMs hallucinated legal authorities in 58%-88% of tested cases while failing to recognise incorrect legal assumptions in prompts |
description |
Leading LLMs hallucinated legal authorities in 58%-88% of tested cases while failing to recognise incorrect legal assumptions in prompts |
status |
review |
evidence_strength |
weak |
newest_evidence |
2026 |
recheck_by |
2029 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — łucja-biel-2026 |
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