Separating the Privileged Wheat from the Chaff – Using Text Analytics and Machine Learning to Protect Attorney-Client Privilege
The digital age has created unique challenges for parties that engage in large-scale litigation. Safeguarding the attorney-client privilege is a critical task for litigators during discovery—one that becomes more difficult and expensive every year. Document review is now responsible for the vast majority of costs in the average legal matter, and costs are only rising. The volume of digitally-stored data doubles roughly every two years, driving up discovery costs and increasing the risk of inadvertent disclosure of privileged information. As the digital world evolves, the legal community has sought to evolve with it, particularly in the document review process.