Evaluation Ethics of LLMs in Legal Domain
Ruizhe Zhang Haitao Li Yueyue Wu Qingyao Ai Yiqun Liu Min Zhang Shaoping Ma
In recent years, the utilization of large language models for natural
language dialogue has gained momentum, leading to their widespread adoption
across various domains. However, their universal competence in addressing
challenges specific to specialized fields such as law remains a subject of
scrutiny. The incorporation of legal ethics into the model has been overlooked
by researchers. We asserts that rigorous ethic evaluation is essential to
ensure the effective integration of large language models in legal domains,
emphasizing the need to assess domain-specific proficiency and domain-specific
ethic. To address this, we propose a novelty evaluation methodology, utilizing
authentic legal cases to evaluate the fundamental language abilities,
specialized legal knowledge and legal robustness of large language models
(LLMs). The findings from our comprehensive evaluation contribute significantly
to the academic discourse surrounding the suitability and performance of large
language models in legal domains.