The integration of AI, including agentic AI, into eDiscovery workflows represents a significant evolution in how legal teams manage the review and production of electronically stored information (ESI). As with any...more
7/29/2025
/ Algorithms ,
Artificial Intelligence ,
Best Practices ,
Bias ,
Data Management ,
Data Preservation ,
Discovery ,
Document Review ,
e-Discovery ,
e-Discovery Professionals ,
Electronically Stored Information ,
Federal Rules of Civil Procedure ,
Legal Project Management ,
Legal Technology ,
Technology-Assisted Review
In many ancient cultures people believed that everything had a spirit. Each human, animal, plant, and even each rock and bolt of lightning were understood as we understand ourselves. If we eat because we feel hunger, so must...more
In the first part of this piece I pointed out why it can be difficult to validate TAR using control set metrics. When the overall proportion of responsive documents is very low, it becomes increasingly burdensome to randomly...more
At some point eDiscovery practitioners seem to have tacitly agreed that sample sizes for TAR validation testing should generally be taken using a 95% confidence level (CL) and, usually, a 2% to 5% confidence interval (CI)....more