Sycophants in the Courtroom: Are LLMs Fragile to Juridical Authority and Evolving Legal Standards?

arXiv:2608.21409 · cs.CY, cs.AI, cs.CL · Submitted 2026-08-10 · Read on arXiv

cs.CY, cs.AI, cs.CL

Submitted: 2026-08-10

Updated: 2026-08-10

Comments: Please cite the definitive, peer-reviewed version of this article published in the Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), edited by Maria Liakata et al., Association for Computational Linguistics, pp. 10865-10886, 2026. DOI: https://doi.org/10.18653/v1/2026.acl-long.497

Journal ref: Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), San Diego, California, United States, Association for Computational Linguistics, 2026, pp. 10865-10886

DOI: 10.18653/v1/2026.acl-long.497

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmark — 1× in this paper · explained in 2 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Robustness — 1× in this paper · explained in 5 episodes

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