AI-powered document review is everywhere right now, but the matters that run smoothly are not “AI-only.” The best results come from a clear division of labor: AI engines will handle scale and pattern-finding, while people handle judgment, context, and defensibility. 1. Start with a Human Map of the Case Before AI Touches the Data A
AI-Powered Review: What Courts Are Saying Going into 2026
AI is already reshaping eDiscovery review, whether a team calls it “AI” or not. Discovery is no longer a tidy set of emails and PDFs. Today’s evidence is often found inside Slack and Teams threads, mobile messages, cloud drives, audit logs, and hyperlinked “modern attachments.” The real issue for litigators is how to use AI…
How AI Is Changing the Way Attorneys Review Modern Data Sources
Modern litigation teams face a data landscape far more complex than the email and PDF world of the past. Today, relevant information can sit inside chat apps, cloud drives, collaboration platforms, mobile messages, shared workspaces, and constantly evolving communication tools. For many attorneys, the hardest part isn’t legal strategy, it’s understanding where information actually lives.…