Next Gen eDiscovery Law & Tech Blog

The AI Token Bill Comes Due: Why Enterprise Search Is the Hidden Driver of AI Cost — and How to Fix It

Kim v. Cushman & Wakefield: A Federal Court Confirms That Email Search Terms Don’t Work for Microsoft Teams

Enterprise AI Has a Token Cost Problem — But It’s Very Fixable. What most AI vendors aren’t telling you.

Why X1’s AI In-Place Architecture Is a Genuine Departure from Legal AI’s Status Quo

De-NISTing in eDiscovery: A Costly Provision That Shouldn’t Be in Model Orders in the First Place

Why Most Tools Fall Short for Large-Scale Information Governance and What Actually Works

Bringing AI to the Data: How X1 Search v11 Redefines Secure Enterprise Search

Navigating Legal and Compliance Risks When Corporations Expose Sensitive Data to AI

AI Without Data Movement: X1’s Webinar Reveals the Future of Secure Enterprise AI

Why Most SaaS Architectures Fall Short for Enterprise-Grade AI

X1 Brings “AI In-Place” to the Enterprise—A Major Breakthrough for Secure, Scalable AI Deployment

The Business Case for In-House eDiscovery: Lessons from Two Prominent Corporate eDiscovery Counsel

X1 Expands Its Leadership in Microsoft Teams eDiscovery Collection

Why Most eDiscovery Tools and Online Archiving Offerings Are Terrible for Information Governance

X1 Achieves Record Growth as Numerous Fortune 500 Companies Standardize on X1 Enterprise

Courts Favor Targeted eDiscovery Collections, but It Is Up to In-House Teams to Enable Such Cost Saving Proportional Efforts

Modernizing eDiscovery: A Huge Strategic Win for Legal Operations Executives

X1 Enterprise Is the Gold Standard for Data Separation in M&A Matters

X1 Search Version 10: A Game-Changer for Modern Enterprise Search

Law Firms and Major Enterprises Are Rapidly Moving to X1 Search As Traditional Enterprise Search Becomes Obsolete

The Three Different eDiscovery Approaches to Address Microsoft 365 Data