Phases of our eDiscovery Predictive Coding Process
MSI’s eDiscovery predictive coding (or assisted review) services cut cost and time by automating review document prioritization. By following a few simple phases, predictive coding allows for our end-users to isolate the most highly relevant documents for early case assessment in order to understand facts of the case early in the matter.
Phase 1Key reviewer(s) are giving specific “seed” documents to review and tag as part of the first phase of eDiscovery predictive coding. These “seed” documents are a subset of the overall data that has been ingested into our system.
Phase 2Reviewer(s) are then given an additional set of documents to refine the eDiscovery predictive coding results. This allows for optimal precision and recall of data within the set(s).
Phase 3Any conflicts found within the documents tagged in the “seed” set are identified for correction as the eDiscovery predictive coding phase(s) continue.
Phase 4After both the “seed” and conflict review is 100% complete, each document requiring review is given a responsiveness probability percentage, at which point eDiscovery predictive coding will mark documents as responsive or not responsive, greatly reducing your overall review time.