Case Study: Microsoft projects $1.6 million in annual savings with Relativity aiR
Key results
The challenge
Microsoft's litigation group needed to optimize document review efficiency, accuracy, and consistency while reducing the costs associated with contract attorneys and outside counsel. The team wanted to move faster and increase consistency of review decisions without ceding control to AI.
The solution
Microsoft, working with Lighthouse, tested Relativity aiR for Review and aiR for Privilege against previously reviewed data sets, comparing AI predictions directly to prior human decisions and keeping humans in the loop for defensibility.
“We assumed the humans would be right more often, but aiR has convinced us otherwise.”
EBE.J. BastienSenior Director, Discovery Programs, Microsoft
The results, in context
aiR's predictions matched human review decisions 92% of the time. Against Microsoft's manual-review spend, aiR yielded projected annual cost savings of $1.6 million and a 45-60 percent reduction in overall review costs.