开源法律数据集突破垄断，让公众免费获取加拿大11万+判例与5000+法条
Introducing the A2AJ's Canadian Legal Data: An open-source alternative to CanLII for the era of computational law
- 构建A2AJ开放数据集，替代受限制的CanLII平台
- 提供超11.6万份判决书和5000余部法规，支持程序化访问
- 适合法律科技开发者、低收入群体服务者使用
Access to Algorithmic Justice项目（A2AJ）是加拿大法律信息研究所（CanLII）的开源替代方案。当前技术虽为法律工作带来新可能，但CanLII限制批量与程序化访问，阻碍了法律数据的自由获取与司法公正推进，导致资源丰富方掌握先进工具，公众仅能使用次级工具。本文回顾加拿大长期推动法律数据民主化的历程，揭示其屡遭私营行业阻挠的历史。我们推出A2AJ加拿大法律数据项目，通过API、机器学习数据集及AI集成协议，提供超过116,000份法院判决和5,000部法规的开放访问。具体案例显示，开放法律数据可支持法院开展基于证据的评估，助力开发者为低收入人群开发实用工具。
原文摘要 · Abstract (English)
The Access to Algorithmic Justice project (A2AJ) is an open-source alternative to the Canadian Legal Information Institute (CanLII). At a moment when technology promises to enable new ways of working with law, CanLII is becoming an impediment to the free access of law and access to justice movements because it restricts bulk and programmatic access to Canadian legal data. This means that Canada is staring down a digital divide: well-resourced actors have the best new technological tools and, because CanLII has disclaimed leadership, the public only gets second-rate tools. This article puts CanLII in its larger historical context and shows how long and deep efforts to democratize access to Canadian legal data are, and how often they are thwarted by private industry. We introduce the A2AJ's Canadian Legal Data project, which provides open access to over 116,000 court decisions and 5,000 statutes through multiple channels including APIs, machine learning datasets, and AI integration protocols. Through concrete examples, we demonstrate how open legal data enables courts to conduct evidence-based assessments and allows developers to create tools for practitioners serving low-income communities.
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