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Litigation Analytics: Extracting and querying motions and orders from US federal courts

机译:诉讼分析:从美国联邦法院提取和查询动议和命令

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Legal litigation planning can benefit from statistics collected from past decisions made by judges. Information on the typical duration for a submitted motion, for example, can give valuable clues for developing a successful strategy. Such information is encoded in semi-structured documents called dockets. In order to extract and aggregate this information, we deployed various information extraction and machine learning techniques. The aggregated data can be queried in real time within the Westlaw Edge search engine. In addition to a keyword search for judges, lawyers, law firms, parties and courts, we also implemented a question answering interface that offers targeted questions in order to get to the respective answers quicker.
机译:法律诉讼计划可以从法官过去的决策中收集的统计数据中受益。例如,有关所提交动议的典型持续时间的信息可以为制定成功​​的策略提供有价值的线索。此类信息被编码在称为码头的半结构化文档中。为了提取和汇总这些信息,我们部署了各种信息提取和机器学习技术。可以在Westlaw Edge搜索引擎中实时查询聚合数据。除了针对法官,律师,律师事务所,当事方和法院的关键字搜索之外,我们还实现了问题解答界面,该界面提供了针对性的问题,以便更快地找到相应的答案。

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