
Legal technology
AI Legal Research: A Verification-First Workflow
New ABA, SRA, and LexisNexis guidance points small firms toward source-grounded AI research with verification built into every matter.
Legal-technology news, operational guidance, and practical analysis for modern law firms.

Legal technology
New ABA, SRA, and LexisNexis guidance points small firms toward source-grounded AI research with verification built into every matter.

Law firm operations
ABA coverage of AI-native law firms raises a practical question: what should smaller firms test first, and how can they keep human judgment visible?

Law firm operations
New 2026 legal industry reporting shows AI use outpacing firm readiness. Here is a practical plan for training, guardrails, and measurable adoption.

Legal technology
California's updated AI guidance addresses agentic systems and gives law firms a practical governance checklist for supervision, confidentiality, and review.

Law firm operations
ABA analysis of post-AI lawyering points law firms toward human judgment, workflow design, verification, and client trust as durable sources of value.

Legal AI governance
EU AI Act transparency duties now affect how firms explain AI interactions, label certain content, and document human oversight across legal workflows.

Legal technology
Q2 legal-tech buying data points to more selective, seasonal purchasing. Here is what law firms should evaluate before choosing practice-management software.

Legal AI governance
AI sovereignty is becoming a practical legal-technology question about data, model choice, cost, portability, and governance, not just geopolitics.

Legal AI governance
Legal AI adoption is moving from isolated experiments toward workflow change. Firms need governance, training, and human accountability alongside productivity goals.

Legal technology strategy
As general-purpose AI companies target legal work, law firms should evaluate vendor concentration, implementation support, data boundaries, and workflow fit.