E-Discovery

Editor’s Note: The EU’s approach to cybersecurity market intelligence has shifted from sporadic snapshots to structured, repeatable analysis — and ENISA’s updated ECSMAF framework is the methodological engine behind that shift. Version 3.0, released in March 2026, introduces configurable analytical pathways, support for recurrent analysis, and a continuous market monitoring model designed to operate alongside

Editor’s Note: March tested the operating assumptions of every team working at the intersection of cybersecurity, legal technology, and information governance. Across our Five Great Reads, which cover AI-assisted privilege review, platform design liability, threats to the judiciary, compressed attack timelines, and the AI competency gap, the message is consistent: the distance between capability and

In Burnley v. Valentin, Virginia Magistrate Judge Mark R. Colombell, rejecting claims by Burnley that an audio file that sounded like him was “made by artificial intelligence to ‘clone’ his voice”, ruled: “Based on the evidence presented, which included two sworn declarations, the Court is satisfied that the audio recording is authentic and has not

Editor’s Note: Organizations deploying AI cannot afford vague or overly polished disclosures that fail to match how their systems actually work. This webcast tackles one of the most urgent privacy and governance issues in AI today: what “meaningful transparency” really requires under modern privacy laws and emerging regulatory frameworks. As regulators sharpen expectations around automated