GLARE: Agentic Reasoning for Legal Judgment Prediction
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arXiv
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| Main Authors: | , , |
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| Format: | Preprint |
| Published: |
2025
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| _version_ | 1866918129057136640 |
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| author | Yang, Xinyu Deng, Chenlong Dou, Zhicheng |
| author_facet | Yang, Xinyu Deng, Chenlong Dou, Zhicheng |
| contents | Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the effectiveness of our method. Furthermore, the reasoning chain generated during the analysis process can increase interpretability and provide the possibility for practical applications. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2508_16383 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | GLARE: Agentic Reasoning for Legal Judgment Prediction Yang, Xinyu Deng, Chenlong Dou, Zhicheng Artificial Intelligence Computation and Language Computers and Society Legal judgment prediction (LJP) has become increasingly important in the legal field. In this paper, we identify that existing large language models (LLMs) have significant problems of insufficient reasoning due to a lack of legal knowledge. Therefore, we introduce GLARE, an agentic legal reasoning framework that dynamically acquires key legal knowledge by invoking different modules, thereby improving the breadth and depth of reasoning. Experiments conducted on the real-world dataset verify the effectiveness of our method. Furthermore, the reasoning chain generated during the analysis process can increase interpretability and provide the possibility for practical applications. |
| title | GLARE: Agentic Reasoning for Legal Judgment Prediction |
| topic | Artificial Intelligence Computation and Language Computers and Society |
| url | https://arxiv.org/abs/2508.16383 |