The ESI Report’s Michele Lange, Attorney and Director of Thought Leadership at Kroll Ontrack, chats with Eric Robinson, Solution Architect at Kroll Ontrack, about the key metrics lawyers need to understand when using predictive coding or Technology Assisted Review (TAR) and how these metrics make e-discovery more economical and efficient.
- Eric Robinson has more than 20 years of accumulated legal, e-Discovery and project management experience. As a Solution Architect at Kroll Ontrack, Eric works collaboratively and consultatively with clients to develop and implement strategic cost-effective, efficient and defensible discovery strategies. Leveraging his knowledge of current legal trends, regulatory matters, and information management technologies for litigation, Eric recommends defensible processes, procedures and technology solutions to optimize client efficiencies and develop best practices.
The first step to implementing predictive coding into your e-discovery review process is understanding key terms like Confidence Level, Precision, Recall, and Accuracy. And don’t worry, the intent with predictive coding is to have the mathematical values automatically computed by the document review software, no calculator required!
The typical legal department is constantly working to improve its use of data and reporting to make smarter, more strategic business decisions. This podcast episode oﬀers some advice for accelerating your use of metrics.
Many companies and law firms have adopted financial reporting and collection systems, but aren’t fully exploiting their capabilities. On Law Technology Now, host Monica Bay welcomes Kenneth Jones, chief operating officer of Sedgwick, Detert, Moran, & Arnold’s Xerdict Group, to discuss October’s Law Technology News’ article, “Capture Metrics. “ They discuss how these technologies can not just help general counsel and corporate law departments monitor their company’s spending habits, but also can be used to analyze legal department expenditures. This helps the GC spot trends, and cut costs.