Pay no attention to that man behind the curtain …
Story 1: I was treated to lunch recently by a 4th-year associate at a large corporate law firm. She was
At most firms, the transition to partnership requires that an attorney "buy into" the organization. The amount varies considerably, but it is often more than a year's salary. And partners almost always pay for their benefits out of pocket. And partners' draws are often wildly inconsistent from month to month. The eventual financial rewards of partnership can be huge, but the first couple years aren't easy. <br>And what do law firms do to prepare associates for partnership? If the three stories above are any indication, partners terrify associates, lead them to believe that marketing is a sign of corporate weakness and fail to educate them on the basics of firm finance. All that in preparation for the day when they'll be asked to "buy into" the partnership. If you're asking somebody to buy something, they're a customer. And firms should treat associates like customers from the day they begin interviewing until the day they make partner.
Pay no attention to that man behind the curtain …
Story 1: I was treated to lunch recently by a 4th-year associate at a large corporate law firm. She was
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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.