Active Learning is an application that lets you run continuously updated queues of documents for review, based on your review strategy. The advantages of Active Learning include real-time intelligence, efficiency, flexibility, and integration with all the power of the Relativity platform.
Start your Active Learning project by creating a new classification index and choosing a single-choice field for reviewers to code relevance. Once you start the review queue, reviewers can access the queue and begin coding documents. Coding decisions are ingested by the Active Learning model where Active Learning takes place. This allows the queues to get better at serving relevant documents to reviewers. This whole process is continuous. As reviewers code and the model updates, project admins can monitor the queue for certain metrics.
We had a tight deadline and large volume of electronic documents to review so we reached out to the experts at Sky Discovery to help us. They worked with the legal team at Deutsch Miller set up efficient and effective workflows to cull the data set down to a manageable size, then batched out to our teams to review.
Partner - Deutsch Miller
I have found Sky Discovery to be very effective and efficient with any work we have outsourced to them. They keep me up to date with where they are with the tasks and the end product is always well QA’d and as per instruction. I have been very happy with their service levels, responsiveness and price point.
Document Systems Manager, Corporate Services - Victorian Government Solicitors