Continuous Active Learning (CAL) is a modern form of Technology Assisted Review which can drastically reduce the time and cost associated with a large document review. With a CAL review, a random selection of documents are classified manually by an expert and used as a training set for an AI. The AI will then predict which of the remaining documents are most likely to be relevant. These are given to the review team to begin classifying. Based on each new document classified, the AI updates it’s model and reorders documents based on the new expected relevance. This process is repeated on a continuous basis throughout the review.
By presenting documents expected to be relevant first, CAL can help reviewers gain an understanding of the case more quickly than in a linear review.
Using our tools and experience IRS can provide both the platform for hosting a CAL review and can assist you in conducting it.