发明名称 DOCKET SEARCH AND ANALYTICS ENGINE
摘要 The present invention provides an improved docket search and analytics engine for determining the outcome of a case for a particular entity or party, for predicting the outcome of a case for a particular entity or party, or for predicting the time to resolution of a case for a particular entity or party. More specifically, the present invention provides a system and engine for accessing and retrieving docket and other data from a plurality of databases and applying by one or more engines a set of models to the retrieved data to make a determination or prediction as to the outcome of a case for an entity or party involved in the case.
申请公布号 US2017076001(A1) 申请公布日期 2017.03.16
申请号 US201615173061 申请日期 2016.06.03
申请人 Thomson Reuters Global Resources 发明人 Salas Daniel F.;Schilder Frank;Vacek Thomas W.
分类号 G06F17/30;G06N99/00;H04L12/751 主分类号 G06F17/30
代理机构 代理人
主权项 1. A computer-implemented system for detecting an outcome of a legal case, the system comprising: a computing device having a processor in electrical communication with a memory, the memory adapted to store data and instructions for executing by the processor; a outcome detection engine operating on the computing device and comprising: a data access module adapted to access a first set of docket entry data stored in either the memory or a database, the first set of docket entry data including a set of docket entries and a corresponding set of identified dispositive outcomes in a legal case or an issue disposed of in a legal case;a sequence tagging classifier; andat least one machine sequence learning module adapted to receive the first set of docket entry data and, based on the received first set of docket entry data, train the sequence tagging classifier;wherein upon training the sequence tagging classifier is configured to be executed by the processor against a second set of docket entry data, the second set of docket entry data being associated with at least one subject docket other than the at least one existing docket, the second set of docket entry data having an associated set of parties, the trained sequence tagging classifier adapted to process docket entries from the second set of docket entry data associated with each party in the set of parties to determine a dispositive outcome attribute associated with at least one party from the set of parties; and an output adapted to transmit a signal related to the determined dispositive outcome attribute associated with the at least one party.
地址 Baar CH