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Technology Assisted Review (TAR) or Computer Assisted Review is sometimes referred to as predictive coding, but they are essentially the same thing.
As the name suggests, predictive coding utilises the technology to identify potentially relevant and non-relevant documents.
In a linear review, all of the documents in the document set are reviewed individually. Using predictive coding or a Technology Assisted Review, reviewers are provided with documents suggested by the review tool.
For predictive coding to work effectively, firstly the software needs to ‘learn’ from the human decisions that the reviewers make and apply this learning to suggest other potentially relevant documents for review.
Lawyers then check the reliability of the coding suggestions.
Some predictive coding software now utilises Continuous Active Learning, by which it continuously recalibrates its predictions based on new human input e.g. the more documents reviewed, the more refined and accurate the predictions are.
This method of predictive coding often results in a dramatic reduction in the number of documents for review, saving time and costs.
At Cleaver Fulton Rankin, we have expertise in dealing with both linear reviews and technology assisted reviews.
If you would like to find out more about how we can help with predictive coding, or learn more about our full range of eDiscovery solutions, just complete the form below and a member of our expert team will be in touch.
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