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External scoping sources to determine affected people, systems, and classes of information in legal matters

机译:外部范围确定源,以确定法律事务中受影响的人员,系统和信息类别

摘要

When creating exhaustive, affected lists within a request scope, any legal risk due to failure to identify or leverage existing knowledge of a company about custody of evidence related to a legal matter is minimized. Accurate affected lists are constructed for an ongoing or impending litigation. Affected people, systems, or record types are included at first, and the list is modified over time once their exact association to the litigation context is clarified (new ones are added, not required are removed). Automation of data capture eliminates the risk of human error during data entry. Conflict resolution is applied when the same person, system, or record type is identified in the request scope, as part of multiple affiliations and associations. Overlapping lists are automatically merged to enable simple and efficient processing, without having to cull different lists. Affected elements in the request scope that could otherwise be missed are tracked and added. A relevant list of all affected elements based on multiple likely inconsistent sources of knowledge dispersed throughout a company is created, with a high degree of confidence in the context of an ongoing litigation or an impending litigation.
机译:在请求范围内创建详尽且受影响的列表时,由于未能识别或利用公司现有的与法律事项相关的证据保管知识而导致的任何法律风险都应降至最低。针对正在进行或即将发生的诉讼构建准确的受影响列表。首先包括受影响的人员,系统或记录类型,并且一旦明确了它们与诉讼环境的确切关联(添加了新的,不需要的),该列表就会随时间进行修改。数据捕获的自动化消除了数据输入过程中人为错误的风险。当在请求范围内将同一个人,系统或记录类型标识为多个从属关系和关联关系时,将应用冲突解决方案。重叠列表会自动合并以实现简单高效的处理,而不必剔除其他列表。跟踪并添加了请求范围中否则可能会丢失的受影响元素。基于在整个公司中散布的多种可能不一致的知识源,创建了所有受影响要素的相关列表,并在正在进行的诉讼或即将发生的诉讼中具有高度的信心。

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