by team | Jul 20, 2026 | Sources Cited
Sources Cited AI Meeting Transcripts: New Discovery, Preservation, and Litigation-Hold Risks The article explains that AI-generated meeting transcripts, summaries, chats, and metadata can become electronically stored information subject to retention, litigation holds,...
by team | Jul 20, 2026 | Sources Cited
Sources Cited Cybersecurity as Law-Firm Governance: Protecting Client Data Beyond IT The commentary frames cybersecurity as a leadership, professional-responsibility, vendor-risk, monitoring, incident-preparation, and client-service concern rather than an isolated IT...
by team | Jul 20, 2026 | Sources Cited
Sources Cited Shadow AI: The Risk of Lawyers Using Unapproved AI Tools The article treats unauthorized AI as an enterprise risk involving sensitive data, unreviewed providers, policy violations, and records outside normal security and retention controls. Educational...
by team | Jul 20, 2026 | Sources Cited
Sources Cited Protecting Law-Firm Data in the GenAI Era: Governance Before Deployment The article emphasizes AI and vendor inventories, data minimization, contractual safeguards, and firmwide governance, including AI features introduced through existing software....
by team | Jul 20, 2026 | Sources Cited
Sources Cited Accidental AI Disclosure: Why Legal Prompts Must Be Treated as Sensitive Records The article explains how ordinary prompting can expose client facts, documents, or strategy to externally hosted systems and recommends approved platforms, policy, training,...
