Editor’s Note: The 2026 International AI Safety Report deserves close attention from cybersecurity, information governance, and eDiscovery professionals for one reason above all others: it quantifies what many in these fields have sensed but lacked hard data to confirm. The report documents that AI systems now discover 77% of software vulnerabilities in competitive settings, that…

Editor’s Note: The legal technology and cybersecurity landscape in 2026 is defined by a paradox of increasing connectivity and deepening regulatory fragmentation. As the European Union advances new requirements under the AI Act and the Data Act on a staggered, sector‑specific timetable, organizations face a daunting task: harmonizing global operations with localized, stringent compliance mandates.…

Editor’s Note: Market volatility on February 3, 2026, followed Anthropic’s announcement of legal workflow plugins for its Claude Cowork platform, with sharp stock movements affecting Thomson Reuters, RELX, Wolters Kluwer, and other information and legal technology providers. The reaction reflected investor concern about the potential implications of agentic AI for established legal and data-driven business…

Editor’s Note: The eDiscovery industry enters 2026 at a crossroads. The 2H 2025 eDiscovery Business Confidence Survey—the 38th edition of this benchmark conducted by ComplexDiscovery OÜ and EDRM—quantifies a growing tension: twice as many respondents expect profits to decline as expect revenues to fall.
This divergence demands interpretation. Is it a temporary byproduct of capital-intensive…

Editor’s Note: Moltbook’s AI-only social network is doing more than generating lobster memes—it’s quietly expanding the enterprise attack surface into a place most security and governance programs aren’t watching. When autonomous agents can post, vote, and “socialize” at machine speed—while also holding real permissions to email, calendars, code execution, and corporate files—the line between novelty…

Editor’s Note: Enterprise AI isn’t stalling because organizations lack tools—it’s stalling because too much of the value concentrates in a few power users while the enterprise remains stuck in pilots. Recent research draws a sharp line between “AI is available” and “AI is operational”: adoption is widespread, but enterprise-scale outcomes remain rare.
That imbalance matters…