Case Study: Baker McKenzie reduces breach review workload and accelerates entity extraction with Relativity aiR for Data Breach Response

Baker McKenzie avoids review of 300K docs and cuts extraction effort 75% with Relativity

Baker McKenzie, a global law firm, faced the challenge of responding to cybersecurity incidents for their clients. They needed to quickly identify personal information (PI) within large datasets to meet regulatory reporting obligations, all while working under tight deadlines and managing costs. To address this, they utilized Relativity aiR for Data Breach Response from vendor Relativity.

By implementing Relativity aiR for Data Breach Response, Baker McKenzie combined AI-powered workflows with human expertise to streamline their review process. The solution helped them concentrate their review on documents likely to contain PI and accelerated the extraction of entity information. This approach allowed them to avoid reviewing approximately 300,000 documents in one incident and cut their entity extraction efforts by about 75% in another, significantly increasing their speed and efficiency while delivering defensible, notification-ready outputs.

Baker McKenzie