Issue link: https://epubs.iltanet.org/i/25416
is to apply the human judgment exercised on reviewed documents to other documents queued up for review. This is often made possible by using content and metadata similarities, and by applying automated machine learning technologies. Review platforms that offer this feature often provide justifications for their review suggestions and the review team benefits by having a collective decision- making process. • Review Workflow Management: In many large- scale reviews, the review workload is partitioned among a large number of reviewers for a quick first pass. The results of such a review would then be further refined by experts with greater knowledge of the case, followed by an additional review for quality control. In some cases, samples drawn from the population of documents that were automatically culled out may also be reviewed to identify responsive documents in the “non-hit” collections. Given these activities, proper workflow management as well as review project management is necessary. To assist in setting up these workflows, review technology applications should provide flexible administration, automation of review and accurate monitoring of review status. • Navigation Aids: Because electronic document review is a human-interactive, labor-intensive process, availability of UI navigation aids (e.g., breadcrumbs, side-by-side views, one-click navigation, decision tree tagging, automatic population of comments and annotations, and intuitive redaction capabilities) is critical. Simple user experience items like the number of mouse clicks and amount of scrolling can affect reviewer 42 Litigation and Practice Support ILTA White Paper productivity. It is important for reviewers to take adequate breaks from their reviews, and both the workflow and review application must facilitate this by offering ways to return to the point where a reviewer left off. Also, content-rendering features such as persistent hit highlighting, ability to navigate from keyword hit to hit, as well as getting a document summary as a cue all help in making faster and more accurate review decisions. While review can be the most labor-intensive, monotonous and expensive part of an e-discovery project, there are tips and strategies that can be employed to help control costs while improving review accuracy. Taking the time to evaluate different options is wise because there is no one-size-fits-all solution when it comes to review. ILTA