Study Examines Persuadability of Large Language Models in Legal Rulings
A new study analyses how Large Language Models (LLMs) process legal arguments and their susceptibility to persuasion when serving as decision support in legal contexts.
What happened?
Researchers have investigated the "persuadability" of leading open and closed Large Language Models (LLMs) used for legal decision-making. The study focuses on how these models respond to legal arguments from different parties. The objective is to understand the factors influencing their decision-making processes rather than evaluating the final verdict itself.
Key facts
| Publiceringsdatum (arXiv) | 26 april 2026 |
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Why it matters
As LLMs are proposed as decision-making assistants or even primary decision-makers within law, mapping their response to arguments is essential. The ability to engage with and potentially be persuaded by legal arguments is central. However, models must not be unduly influenced by skilled advocates, ensuring decisions are based on the merits of the case rather than advocacy skills.
Who is affected?
The study directly impacts developers of legal AI models, legal professionals using or considering LLMs for decision support, and authorities and organisations regulating AI use in judicial systems. It provides insights for designing robust and fair AI systems within legal domains.
What else you should know
The study is a preprint and has undergone peer review. Please note the date in the TLDR is for illustrative purposes.
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