Designing Human-AI System for Legal Research: A Case Study of Precedent Search in Chinese Law
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ID: 283239
2025
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Abstract
Recent advancements in AI technology have seen researchers and industry
professionals actively exploring the application of AI tools in legal
workflows. Despite this prevailing trend, legal practitioners found that AI
tools had limited effectiveness in supporting everyday tasks, which can be
partly attributed to their design. Typically, AI legal tools only offer
end-to-end interaction: practitioners can only manipulate the input and output
but have no control over the intermediate steps, raising concerns about AI
tools' performance and ethical use. To design an effective AI legal tool, as a
first step, we explore users' needs with one specific use case: precedent
search. Through a qualitative study with five legal practitioners, we uncovered
the precedent search workflow, the challenges they face using current systems,
and their concerns and expectations regarding AI tools. We conclude our
exploration with an initial prototype to reflect the design implications
derived from our findings.
| Reference Key |
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| Authors | Jiarui Guan; Ruishi Zou; Jiajun Zhang; Kimpan Xin; Bingsu He; Zhuhe Zhang; Chen Ye |
| Journal | arXiv |
| Year | 2025 |
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