HKJudge: A Legal Discourse-Annotated Corpus for Interpreting What Courts Find, How They Reason, and What They Rule
arXiv:2606.06679v1 Announce Type: cross Abstract: Court judgments are central to legal practice and jurisprudence, yet discourse analysis of Hong Kong judgments has received limited attention, owing largely to the absence of expert-annotated corpora. We introduce the Hong Kong Judgment Discourse Dataset (HKJudge), the first sentence-level expert-annotated legal discourse corpus. HKJudge includes criminal judgments across all five levels of HK's court hierarchy, comprising $\sim$290k sentences and $\sim$6.5 million tokens, fully annotated by legal linguistics experts. We design a two-tier disco
The proliferation of AI systems necessitates robust, specialized datasets for legal applications, leading to the creation of annotated corpora like HKJudge to address current analytical gaps.
This development enables more sophisticated AI applications in law, enhancing legal research, dispute resolution, and potentially even judicial decision support by providing a structured understanding of legal discourse.
The availability of a large, expertly annotated legal discourse dataset for Hong Kong judgments will accelerate the development and accuracy of AI models tailored for legal analysis.
- · Legal AI developers
- · Law firms and legal researchers
- · Hong Kong legal system
- · Traditional manual legal research methods
Improved accuracy and utility of AI systems for legal analysis, particularly in common law jurisdictions.
Increased efficiency in legal processes and potentially more consistent judicial interpretations through AI-assisted tools.
The creation of similar specialized legal discourse corpora for other jurisdictions, driving a global trend in legal AI development.
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Read at arXiv cs.AI