论文标题
可能合理地搜索Ediscovery
Probably Reasonable Search in eDiscovery
论文作者
论文摘要
在Ediscovery中，诉讼或类似行动的一方必须搜索可用信息，以识别与诉讼相关的文件和文件。搜索工作倾向于确定不到100％的相关文件，并且经常要求法院裁定搜索工作是否合理，或者是否有其他努力寻找更多相关文件是合理的。本文提供了一种估计从扩展工作中找到重要信息的概率的方法。建模和两个数据集表明，在确定的文档中未观察到的事实/主题的概率对于中等水平的召回量也很低。
In eDiscovery, a party to a lawsuit or similar action must search through available information to identify those documents and files that are relevant to the suit. Search efforts tend to identify less than 100% of the relevant documents and courts are frequently asked to adjudicate whether the search effort has been reasonable, or whether additional effort to find more of the relevant documents is justified. This article provides a method for estimating the probability that significant additional information will be found from extended effort. Modeling and two data sets indicate that the probability that facts/topics exist among the so-far unidentified documents that have not been observed in the identified documents is low for even moderate levels of Recall.
