Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering
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arXiv
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| Hauptverfasser: | , , , , , , , , , |
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| Format: | Preprint |
| Veröffentlicht: |
2025
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| _version_ | 1866916608828506112 |
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| author | Yao, Rujing Wu, Yiquan Zhang, Tong Zhang, Xuhui Huang, Yuting Wu, Yang Yang, Jiayin Sun, Changlong Wang, Fang Liu, Xiaozhong |
| author_facet | Yao, Rujing Wu, Yiquan Zhang, Tong Zhang, Xuhui Huang, Yuting Wu, Yang Yang, Jiayin Sun, Changlong Wang, Fang Liu, Xiaozhong |
| contents | The rise of large language models has opened new avenues for users seeking legal advice. However, users often lack professional legal knowledge, which can lead to questions that omit critical information. This deficiency makes it challenging for traditional legal question-answering systems to accurately identify users' actual needs, often resulting in imprecise or generalized advice. In this work, we develop a legal question-answering system called Intelligent Legal Assistant, which interacts with users to precisely capture their needs. When a user poses a question, the system requests that the user select their geographical location to pinpoint the applicable laws. It then generates clarifying questions and options based on the key information missing from the user's initial question. This allows the user to select and provide the necessary details. Once all necessary information is provided, the system produces an in-depth legal analysis encompassing three aspects: overall conclusion, jurisprudential analysis, and resolution suggestions. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2502_07904 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering Yao, Rujing Wu, Yiquan Zhang, Tong Zhang, Xuhui Huang, Yuting Wu, Yang Yang, Jiayin Sun, Changlong Wang, Fang Liu, Xiaozhong Computation and Language The rise of large language models has opened new avenues for users seeking legal advice. However, users often lack professional legal knowledge, which can lead to questions that omit critical information. This deficiency makes it challenging for traditional legal question-answering systems to accurately identify users' actual needs, often resulting in imprecise or generalized advice. In this work, we develop a legal question-answering system called Intelligent Legal Assistant, which interacts with users to precisely capture their needs. When a user poses a question, the system requests that the user select their geographical location to pinpoint the applicable laws. It then generates clarifying questions and options based on the key information missing from the user's initial question. This allows the user to select and provide the necessary details. Once all necessary information is provided, the system produces an in-depth legal analysis encompassing three aspects: overall conclusion, jurisprudential analysis, and resolution suggestions. |
| title | Intelligent Legal Assistant: An Interactive Clarification System for Legal Question Answering |
| topic | Computation and Language |
| url | https://arxiv.org/abs/2502.07904 |