Nick Carroll
I've spent 30 years building legal publishing infrastructure. I founded publish.law to help attorneys turn their cases, insights, and credentials into a digital presence they own, built for how clients, referral sources, and AI systems find lawyers today.
Notes
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AI search systems think in entities, not keywords. That means how well your name, your credentials, and your practice areas are connected across the web matters more than any single page you've published. Publish.law is designed to do exactly this, and this piece explains the underlying reason why consistent, cross-platform identity building actually moves the needle in AI-driven search.
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Thomson Reuters defines great legal AI memory as grounded in "authority we own", 1.9B docs, KeyCite, the citator. Right standard for verifying work. Wrong lens for who gets surfaced as the expert in the first place. There's a second authority: an attorney's published record, what AI reads to decide who understands the issue. TR sharpens one firm's internal work. It won't put you in the answer. One you buy. The other you publish.
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Costigan's thesis: own the asset, don't rent it. A firm's knowledge should be a graph it owns, not fuel for a vendor's model. Right, and it applies to the half he skips: your public record. An attorney's published analysis is an external knowledge graph, what AI reads to decide who's authoritative. Most attorneys rent that too. Own the internal graph for the work. Own the external one for discovery.
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Sharp breakdown, Brandon. The part most coverage misses is the one you flagged: the Court wouldn't let defendants carve protected pain-and-suffering damages from the cappable ones, because that forces judges to rewrite the statute instead of applying it. That's what makes this bigger than one $29M verdict. Any case pairing wrongful death with a survival claim now inherits that reasoning. Good work getting it out fast.
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LinkedIn in 2026 still rewards the same thing it always has: genuine expertise shared clearly and often. Here's what's actually moving the needle for attorneys right now.
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AI-driven search is sending real traffic and real inquiries, but most firms have no idea how much because they're not tracking it separately. This piece walks through what measurement actually looks like. If you're investing in content to get found in AI answers, you need a way to know if it's working.
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If you've been treating SEO and 'AI optimization' as two separate projects, stop. Google has collapsed them into one system, so content that ranks well in search is the same content AI agents pull from. One solid strategy covers both, which means you don't need to reinvent anything, just make sure what you're publishing is genuinely useful to the people searching for your practice area.
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Google is now applying spam enforcement to what gets surfaced in AI Overviews, not just traditional search results. If your firm's content cuts corners on quality or looks like it was written to game rankings, it's not just your blue links at risk. Getting cited in AI answers requires the same clean, authoritative content you'd want a judge to read.
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As AI reshapes how people find attorneys, your social presence is starting to function as a trust signal, not just a marketing channel. This piece lays out practical ways to stay visible across platforms when traditional search results aren't the whole story anymore.
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“One way they do that is by telling clients when they don’t have the right solution for them and helping them find another lawyer who does. Or telling the client why he doesn’t need a certain type of service he’s asked about, and know that you will contact them if and when that changes.”
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