Claims

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 · theoretical r2 · 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

q is the design tier, i the impact, n the sample, and the kind with its r the rigour judged within that kind: what each code means.

This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.

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

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

Frontmatter is the page's machine-readable record — see the Schema & Guide.