The California Supreme Court recently clarified joint and several liability in multi-party contracts, finding jointly and severally liable parties may be sued in separate lawsuits. Read Ken Van Vleck’s article published by the American Bar Association, Section of Litigation here.
Technology workers from Bangalore, software instructors from Arizona and Colorado, truck drivers in San Diego, and cucumber harvesters in Gilroy, California… Cases involving workers as varied as these have helped form a body of wage-and-hour law that all California employers, and out-of-state employers sending employees to work in the state, must understand, say Elizabeth Roth and Barbara Tanzillo of GCA Law Partners LLP.
B2B rebate programs consistently outperform traditional discounts in loyalty, margin protection, and strategic insight. Discounts may close deals quickly, but they often erode value and provide little insight into partner engagement.
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Most people think AI note-taking apps create a transcript. In reality, they often create a searchable record of who spoke, what decisions were discussed, what action items were assigned, and in some cases even how participants were perceived to feel during a conversation. In litigation, that can become a very different kind of record than many users expect, a theme I explored from a different angle in an earlier piece on AI chat tools and discoverability…
Over the next several weeks, I am focusing on one of the most underappreciated legal risks of the AI era: discoverability. Each post will examine a different AI tool and how the records it generates can become a serious liability in litigation.
I will start with a case that should be required reading for anyone who has ever typed a sensitive question that might have legal implications into a generative AI system.
Every day, thousands of business meetings are recorded by AI notetaking apps. Most participants click “Join,” enter the meeting, and only then see the platform’s default recording notice. That casual click may not be enough to make the recording legal — and for businesses operating across multiple U.S. states, the exposure is real.
If your team is writing software without generative AI, your competitors may soon be outpacing you. If your team is using it without proper controls, you may be building a codebase you don’t actually own.
That second risk is less obvious, and it tends to surface late. A company builds a product using AI coding tools, ships it, and begins attracting acquisition interest. During diligence, buyer’s counsel asks about a portion of the codebase.