We propose a transparent law reasoning schema enriched with hierarchical factum probandum, evidence, and implicit experience, together with a crowd-sourced benchmark and an agent framework for transparent and accountable AI-assisted law reasoning.
@inproceedings{shen-etal-2025-law,title={A Law Reasoning Benchmark for {LLM} with Tree-Organized Structures including Factum Probandum, Evidence and Experiences},author={Shen, Jiaxin and Hu, Huiqi and Lin, Luyi and Han, Wenjuan and Xu, Jinan and Ma, Guoyang and Zheng, Fei and Meng, Fandong and Zhou, Jie},booktitle={Findings of the Association for Computational Linguistics: ACL 2025},month=jul,year={2025},address={Vienna, Austria},publisher={Association for Computational Linguistics},pages={17252--17274},doi={10.18653/v1/2025.findings-acl.887},}