Abstract: A computer-implemented method for automated document review and quality control may include (1) dividing a set of documents to be reviewed for relevancy into sets of control documents, training documents, quality-control documents, and review documents, (2) calculating, based on a set of reviews performed by a group of reviewers on the set of quality-control documents, an effective speed score for each reviewer in the group of reviewers, (3) assigning, based on the effective speed score, the set of control documents and the set of training documents to the group of reviewers, (4) training a predictive model using a set of training reviews performed by the group of reviewers on both the set of training documents and the set of control documents, and (5) using the predictive model to evaluate the set of review documents. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: The disclosed computer-implemented method for determining topics of data artifacts may include (1) extracting at least one initial keyword from a data artifact with an unknown topic, (2) creating a set of keywords by generating a plurality of contextually relevant keywords related to the initial keyword and combining the initial keyword with the contextually relevant keywords to form the set of keywords, (3) retrieving, from a topic processor, at least one list of topics associated with each keyword within the set of keywords, and (4) generating, based on the retrieved topic lists, an ordered list of probable topics of the data artifact. Various other methods, systems, and computer-readable media are also disclosed.