A prominent law firm faced a tight deadline with an opposing counsel production in a complex case. With approximately 260,000 documents in the data corpus and only six weeks to review it – and having dealt with similar productions on this matter in the past – the firm knew it would be an expensive undertaking needing significant manpower. This was not an appealing option for the firm, and it sought a better solution from Legility that would save time and money.
With deep experience handling third-party and opposing counsel productions on tight timeframes, Legility understood that the challenge could be managed with a combination of continuous active learning (“CAL”) technology and a small team of attorneys.
Alongside the law firm’s strategic team, Legility deployed Catalyst Insight Predict (“Predict”), a CAL platform that eliminates data before attorney review, prioritizes relevant documents and places them at the front of the queue for attorneys to determine their significance to the case.
Within just a few days, the Legility team utilized Predict to cull more than 150,000 documents. With a less cumbersome data set now remaining, the attorneys put the full features of Predict to work, using targeted searches to rank and review the relevant documents. The process was transparent and collaborative, as Legility provided results of the statistical sampling via daily updates to supervising counsel, with real-time tracking on hot documents and document types, data remaining to be reviewed, costs versus budget and other key metrics.
After having only reviewed 105,000 documents, it was determined that a statistically valid review was complete – i.e. the team had found a defensible amount of the relevant materials in the corpus – and the attorney review was cut off.
In total, the firm saved more than $350,000 and two weeks of time by using Legility and Predict, and technology costs (shown in graphic) were just 8% of the total costs. The team’s processes are repeatable, and the firm will look for ways to utilize the model on similar matters in the future.
Specifically and most significantly, the use of Predict provided cost savings via the elimination of more than 60% of the data corpus, dramatically reducing attorney review costs.
Additionally, with the expert use of Predict – and with the team’s review rate efficiency more than doubling during the project – the review was completed in just four weeks, easily before the six-week deadline. This provided supervising counsel more time to make strategic decisions and ultimately make a better case.