Continuous active learning: the EDT approach
The number of items involved in regulatory investigations and legal continues to grow, enormously. This places an increasing burden on those responsible for reviewing and evaluating large collections of digital evidence. Continuous active learning (CAL), the second generation of machine learning technologies for document review, has great potential to accelerate investigations and reduce the burden of linear review.
The art of elusion: how statistical sampling techniques can help regulators manage a deluge of data
The volume and variety of digital evidence regulators have to work with is growing faster than their budgets, staffing levels, or ability to manage. A knowledge of statistical sampling can help you make the most of data management techniques from simple keyword searches and date ranges to sophisticated machine learning models.