Perhaps the most often cited e-discovery document — from the Federal Rules of Civil Procedure amendments to cases from New York to California — is “The Sedona Principles,” a wide-ranging publication from the group of e-discovery experts at The Sedona Conference. The document ranges from entry-level topics (“What is electronic discovery?”) to the specific (reasonable and good faith efforts for the obligation to preserve electronically stored information).
There's just one problem: The last full version of the document, version 2, was released in 2007. But now, following four years of work from The Sedona Conference Working Group
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Letter Agreement Between Landlord and Tenant Did Not Extinguish GuarantyTreble Damage Award Upheld; Landlord Failed to Establish Overcharge Was Not WillfulDenying Access to Landlord Constituted Breach Entitling Landlord to PossessionTenant Entitled to Yellowstone Injunction With Respect to Taxes and Sewer Charges
New York is one of the first states to adopt laws to regulate artificial intelligence use in advertising and to strengthen post-mortem publicity rights regarding AI-generated replicas and “synthetic performers.” Given the state’s role as a bellwether for consumer-protection and advertising regulation, these new laws, combined with the state’s broader AI legislative framework, represent a shift toward transparency, consent and accountability.
State app store age verification regimes do more than reallocate responsibility between platforms and developers. They create a new data supply chain for age knowledge, one that can move COPPA questions from “do we ask age?” to “what do we do when the platform tells us?” The teams that handle this best will treat platform age signals as sensitive compliance inputs: minimize them, tightly control where they flow, and design product behavior so that minors do not trigger unnecessary collection or disclosure.
The firms leading right now chose to ask what would become possible if they managed the entire revenue lifecycle — from invoice generation to cash receipt — in one place, and what AI could actually accomplish with complete data instead of partial feeds. That is the Power of One.
A recent decision from the U.S. District Court for the Southern District of New York (SDNY), United States v. Heppner, has generated outsized commentary suggesting that the use of generative AI tools may jeopardize attorney-client privilege. A closer reading shows something far less dramatic.
