Technology Assisted Review
Why Predictive Coding?
You’ve identified ESI for a number of custodians over a date range and now have hundreds of thousands, if not millions of documents to review. Reviewing every document is far too expensive and time consuming, so it is time to leverage technology assisted review and more specifically, predictive coding.
With BlackStone’s Technology Assisted Review (TAR), a review set of 1,000,000 documents can quickly be culled to 100,000 – 200,000 documents and reviewed at a small fraction of the normal review cost. This is mainly done through machine learning with Brainspace, which identifies responsive and privileged documents from massive sets of data after being programmed using a small seed set.
BlackStone’s TAR experts manage the entire process. First, they cull the ESI based on data types and search terms. They ensure that the seed set is representative of all the data and is coded for responsiveness and privilege. Brainspace then produces an algorithm to identify responsive documents based off this set which BlackStone’s experts sample and refine to achieve desired results. Once this is done, the complete review is authorized and Brainspace’s Artificial Intelligence takes over.
The final result is a much smaller number of documents to be produced based on an agreed upon level of certainty and percentage of relevant documents.
The practice of predictive coding greatly cuts cost and time for our clients. Recently, BlackStone used predictive coding to review 3 million documents for under $200,000 within a month’s time for a patent litigation. In 2011, before predictive coding was a common practice, BlackStone was featured in the New York Times for reviewing 1.5 million documents for less than $100,000.
Price will vary depending on a few factors:
- The extent to which the full data set can be culled before reviewing
- Whether you choose to have one of our experts code the seed set or do it yourself
- The area of knowledge required of an expert coding the seed set