👋 Good morning. Chris Dreyer here. A California state court has consolidated more than two dozen wrongful-death and harm cases against OpenAI as "ChatGPT Product Liability Cases." Plaintiffs frame GPT-4o as a defectively designed product, not protected speech. If the court rejects OpenAI's "service not product" defense, plaintiffs' lawyers can press the same theory against other chatbot makers.
Also: PI advertising is a high-spend category. Bigger budgets, more attorneys, more channels. Smaller firms that will define the next decade don't try to outspend national firms. They reframe what PI representation means in their market. Douglas Holt calls it cultural innovation. Six ways PI firms can run this game, below.
One more: Tim Misny's nearest PI competitor in Ohio sits 38 points behind him on unprompted brand recall. One face. One pose. One slogan. Forty-five years. The play behind it: Run two brands, not one. Let's get into it.
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💡ONE BIG IDEA
Stop Playing PI's Default Game
Smaller PI firms can win without outspending anyone by teaching the market to value something different.
In an industry where the biggest ad budgets get the most visibility, one man played a different game.
His name is Bill Bishop. He's not a PI lawyer. He's the founder of Blue Buffalo, the pet food brand he sold to General Mills.
When Bishop launched Blue Buffalo, dog food was an industrial business. Companies like Nestlé Purina, Mars, and Procter & Gamble dominated with scientific-sounding labels and big TV budgets. Their kibble carried fillers, by-products, and processed starches.
Glorified scraps in fancy packaging.
Blue Buffalo, a small new entrant, decided to reframe its product. The best dog food, the company argued, is real food. Not scraps. Food even you would eat.
Bishop did not try to make better kibble. He changed what customers thought dog food should be.
Not bigger. Different.
The reframe worked. Blue Buffalo went on to sell to General Mills for $8 billion.
Apply that to your small or mid-size PI practice.
The orthodoxy in your category sounds like this: The firm with the biggest presence is the firm worth hiring. Reach is the value. National firms with billboards on every highway are the proof.
What if you reframed? What if you taught the market to value something different?
Here's a few ways to think about this. Each one is a different game. But you can build a solid practice on any one of them.
Radical transparency. Referral partnerships that explain how fees work, settlement math by case type, conflict policy replace the black box every other firm runs. Samuel Pond built Pond Lehocky's referral network on "partner-first" economics: symmetric deal terms, transparent reporting through the firm's own Case Exchange technology. The firm sends 7,000 referred cases per month because partners trust the math.
Intimacy over scale. Fewer cases, deeper relationships, higher case values. The lawyer the client speaks to. The relationship that outlasts the case. Jon Hollan rebuilt Sam Aguiar Injury Lawyers around a "fewer cases, deeper work" model. Every case starts with a managing-attorney audit. A three-person pod (attorney, case manager, legal assistant) handles the file and communicates with the client every two weeks. The firm routinely turns $200K to $300K cases into seven-figure outcomes.
Impact over outcome. A firm so committed to changing each client's life that clients send the next ten people without prompting. The Body Shop built a billion-dollar brand on activism (opposition to animal testing, Trade Not Aid, rainforest preservation), not on better lotion. The work was the brand. PI firms with a similar commitment to client recovery, vocational support, and mental-health connections earn referrals every other firm has to buy.
Specialization over generalism. Only catastrophic brain injury. Only commercial trucking. Only spine-surgery med-mal. One thing, ten times deeper. Chadwick Meyers runs a Nashville solo practice on two niches no one else in Tennessee owns: funeral home negligence and negligent security. Meyers pulled his billboard spend and routes new growth through lawyer-to-lawyer referrals inside those two niches.
Civic embeddedness over commercial visibility. The firm everyone knows because it sits on the school board, funds the food bank, sponsors the Little League. Kruger & Hodges brands itself as The Hometown Lawyer™ and lives it: scholarships for local students, partnerships with local sports teams, deep ties to the nine small Ohio towns it serves, and an Around Town video series that features local businesses across the region. The firm is the community fabric.
Each play has the same payoff: The firm stops paying for reach because reputation does it instead. Pond gets 7,000 referred cases a month. Meyers gets a lawyer-to-lawyer pipeline. Kruger & Hodges gets the town.
A PI firm without a national-firm ad budget has every reason to make this trade.
Which brings me to the harder part...
Each of these reframes has a precondition. The work has to make the claim real. A firm can't claim radical transparency if the fee math stays hidden. A firm can't claim intimacy if the lawyer never picks up. A firm can't claim specialization if the firm takes whatever case walks in. None of this is a marketing claim. It's an operating choice.
Accept the trade. Take fewer cases, if that's what you need to do. Build a reputation over years and protect it daily. Pick a niche and go deep. Shameless plug: I wrote a book on this called Niching Up.
Look, if you take one thing from this...
Stop trying to be a louder version of every other PI firm. Decide what your firm should mean to clients. Then earn it.
♟️STEAL THIS PLAYBOOK
Run Two Brands: The Firm and the Face Behind It
PHOTO: Joshua Gunter, cleveland.com
44% of 1,000 Ohioans named Tim Misny without prompting. His nearest competitor: 6%.
That stat sits on the landing page for The Misny Method, the new book Tim Misny wrote with marketer Jim Kukral.
There's something here.
A 38-point unprompted-recall gap inside a category as crowded as PI billboard advertising is not a marketing number. It is a moat.
Cleveland.com profiled the Ohio billboard ecosystem around Misny last week. The piece named the firms he competes with regionally: KNR, Elk & Elk, Cellino Law, The Sam Bernstein Law Firm, Morgan & Morgan. All of them put attorney faces on billboards. So does Misny. Faces on billboards are table stakes in PI advertising.
What Cleveland.com identified as the actual difference: Most modern PI firms emphasize the corporate brand. Misny emphasizes the personal one. Same channel. Different brand layer.
Here is the thinking behind it.
A PI firm runs two brand layers inside its marketing. The firm brand handles the operational story: who works the case, how big the team is, what the firm has recovered. The personal brand handles the human one: who the client trusts before there is a case to hand off.
The two layers do different jobs. The firm brand earns the search. The personal brand earns the call.
Misny's edge is what he did with the personal layer.
For 45 years, the raised eyebrow, the finger-point pose, and the slogan "I'll Make Them Pay!" have stayed fixed. Same image. Same gesture. Same five-word phrase. Cleveland.com noted some ads now use just his eyes. That is what a personal brand looks like when the iconography compounds for decades.
Analysts in the piece described the effect as closer to a regional political campaign or a wrestling persona than a law firm brand. Cleveland residents parody his billboards on social media. The persona is part of Ohio's cultural fabric.
Seth Godin made the point cleanly in a recent Entrepreneur's Studio interview. Everyone already has a personal brand, he said, even if they have not done anything with it.
The magic of a human as a brand's avatar is that humans have surface area. They can do things 'appropriately remarkable' that a faceless brand cannot.
Godin added that smaller organizations stand to gain more than public companies on this play, because they can put a face on what they do without the politics that come with boards and stock prices. That fits PI.
So far so good.
Here is the discipline part most operators miss.
The face is a role, not the person. Godin drew the line between Seth Godin the man and "Seth Godin" the role: same person, different presentation, deliberately consistent. Misny's raised eyebrow and finger-pointing pose are the role. The actor underneath is a different conversation.
Authenticity is overrated, Godin said. Customers pay for consistency.
The personal-brand layer builds when the same face, voice, and promise show up the same way across every channel for years. Not seasons. Years.
The trust math backs all of this up. The 2026 Edelman Trust Barometer found people trust their immediate circles (neighbors, "my CEO," "my employer") far more than institutions in general. The Sprout Social Index for Q1 2026 puts LinkedIn engagement around 4.7% for personal-profile content and 1% to 2% for company pages.
National firms run a different play: multi-state campaigns with creative that has to travel across markets. The economics require messaging that performs from Tampa to Tulsa. A single-market firm has a structural opening to go culturally deep in one place. Scale advertising cannot run this play as efficiently.
Here is the playbook I'd pressure-test in your market:
Lock the iconography. Lock the slogan. Don't deviate. Pick the visual signature (one pose, one gesture, one frame, one color palette) and the verbal one (a phrase under six words). Misny has been on the same eyebrow and the same five words for 45 years. The reps ARE the brand. Refreshing the creative every two years resets the recall counter to zero.
Layer the personal brand on top of the firm brand. Don't trade one for the other. Keep the firm-brand assets (attorney count, settlement results, multi-office footprint) doing their job: search, capability signaling, intake credibility. Add the personal layer on top. Misny's firm still works the file. The persona is what gets the call. Run both, and the personal layer compounds against assets the firm brand already pays for.
Run the personal mark across every owned channel. Same face, same mark, same phrase. Billboards, paid social, paid search creative, YouTube pre-roll, LSA video, intake calls-to-action, email signatures, attorney bio photo, even the on-hold music. If one channel breaks the pattern, the whole recall curve flattens. The compounding effect Misny gets (ads that work using just his eyes) only happens after years of identical signal across every surface.
Anchor the persona in local cultural specificity, not mainstream appeal. Misny is rooted in Ohio. Cleveland residents parody his billboards on social. Map five or six cultural anchors in your market (a landmark, a team, a hometown phrase, a regional inside joke, a local rivalry) and thread the persona through them in social, ad creative, and community sponsorships. A multi-market campaign cannot match the cultural depth of a brand built in one place.
Hold the test 24 months minimum before reading recall data. Misny's iconography compounded over 45 years before it produced a 38-point recall gap. The reps build the brand.. Pulling the campaign at month 12 erases the curve. The firms that win this layer keep at it past month 18 even when the click data looks flat. Recall builds underneath the click data, not on top of it.
This works on top of the foundational acquisition channels (Google search, paid search, LSAs, on-page SEO, intake operations). Not in place of them.
Run both brands. The firm one earns the search. The personal one earns the call. The firms that win this layer don't trade one for the other, they layer the second on top and hold it for years.
📰 TOP OF THE NEWS
ChatGPT Lawsuits Test the Mass-Tort Playbook on AI Models
Two dozen wrongful-death suits against OpenAI now form a single product-liability docket. A California state court consolidated the cases as "ChatGPT Product Liability Cases," the New York Times reported.
Plaintiffs target the May 2024 GPT-4o release, alleging the model's sycophantic responses caused foreseeable harms: suicides, mass-shooting plans, and overdoses tied to chatbot conversations. The litigation borrows the framework PI lawyers used against tobacco and automakers: defective design, inadequate safety testing, and failure to warn.
Cornell law professor Alexandra Lahav, author of In Praise of Litigation, told the Times that consumer-protection litigation has always trailed product launches. The chatbot docket is the back-end correction.
Tech Justice Law is the early case clearinghouse. Meetali Jain's nonprofit has joined nearly half the consolidated suits, often with the Social Media Victims Law Center as co-counsel. After Jain filed the first chatbot wrongful-death case against Character.AI in 2024, which settled, her inbox carried hundreds of victim messages. The infrastructure mirrors the social-media mass-tort intake funnel.
GPT-4o is the version-specific defect under attack. Plaintiffs anchor every complaint to the May 2024 release, retired in February 2026. The pattern parallels asbestos-era version-specific liability; the discontinued product becomes the defective unit. Discovery on training data, RLHF tuning, and pre-launch safety testing now sit in scope for every named defendant.
The threshold question is product or service. OpenAI's only legal response so far, in the Adam Raine suicide case, argues ChatGPT is a constitutionally protected speech service, not a manufactured product, and that demands for safety guardrails violate the First Amendment. Santa Clara law professor Eric Goldman, quoted in the same Times piece, said the argument has merit. If the court accepts it, the docket collapses. If the court rejects it, plaintiffs' lawyers can press the same theory against other chatbot makers.
The motion-to-dismiss ruling on product-versus-service decides whether AI joins PI's mass-tort menu.
🚀 QUICK HITS
Class Action Targets Wiley Rein Over Chinese-State-Linked Data Breach: A Florida resident filed a proposed class action against Wiley Rein in D.C. federal court May 23, alleging the firm failed to protect data stolen by hackers that Wiley Rein later acknowledged "may be affiliated with the Chinese government." Attackers breached Microsoft 365 email accounts from July 2024 through June 2025 before detection, per the complaint. Stolen records include names, addresses, dates of birth, financial accounts, medical information, and partial or full Social Security numbers. Notifications to victims started March 6, 2026. Lead plaintiff Derrick Burkett reports 19 fraudulent MetLife charges after the breach.
Bayer's $7.25B Roundup Settlement Hits First Formal Objections: Attorneys for 13 cancer plaintiffs filed objections to Bayer's proposed $7.25 billion Roundup settlement in Missouri state court May 22, with a parallel removal notice in federal court, Reuters reported. Keller Postman and Frazer PLC call the deal a product of "collusion" between Bayer and class counsel set to take $675 million in fees. The objectors argue the Missouri court cannot bind out-of-state plaintiffs and cite federal Judge Vince Chhabria's "grave concerns" about the fast-tracked approval. Weitz & Luxenberg, which represents 2,000 Roundup clients, plans more objections before the June 4 opt-out deadline. Judge Timothy Boyer sets a July 9 fairness hearing.
Toyota Settles Fatal Keyless Ignition Suit Days Before Atlanta Trial: Toyota settled a wrongful death case brought by Caroline Griffin over the July 2022 carbon monoxide death of her husband Lee Griffin, Law360 reported. The 2017 Tacoma kept running in the attached garage after Lee Griffin removed the keyless fob, filling the house with fumes. The settlement scrapped a May 27 Atlanta federal trial; Judge Thomas W. Thrash Jr. closed the case Tuesday. Griffin's complaint cited at least 16 prior carbon monoxide deaths linked to Toyota keyless ignition systems and noted Toyota added automatic shut-offs starting 2020. Toyota denied wrongdoing and argued the danger was "obvious and known."
Apollo, Fortress, Stifel Surface at PI Law-Firm Investment Conference: Apollo Global Management, Fortress Investment Group, and Stifel Financial Corp. all attended an invite-only Holland & Knight conference on private equity investment in personal injury firms last month, a Bloomberg Law deep dive detailed. Holland & Knight partner Josh Porte said one PE-backed client closed two MSO deals this year and expects roughly a dozen by year-end. Houston firm Amaro Law Firm aims to lock initial terms for a capital infusion by year-end. The Financial Times identified Fortress as the investor behind Rafi Law Group's $125 million MSO investment in April. Fortress declined to comment to Bloomberg Law.
💯 NUMBER TO NOTE
Google's irrelevant ads declined 40% as Gemini got sharper at matching ads to search intent.
That's the number Google's vice president of global ads, Dan Taylor, shared with the New York Times in a piece on the AI-powered ad boom. Gemini parses what people search for, evaluates the advertiser's creative, and serves the version most likely to answer the query. Google calls the system "responsive search." Irrelevant ads dropping 40%, in the Times' words, is "a lucrative change for a business that is paid only when people click on an ad."
The 40% comes from match quality, not auction changes. Gemini generates and tests ad variations against each query, then surfaces the version most likely to fit. The auction rules and the bidding mechanics did not change. The match between query intent and ad creative did.
Targeting flipped direction. Where advertisers used to specify the audience ("women in New York, 24 to 35"), Google and Meta now use AI to recommend customers the brands should go after. The advertiser supplies goals, assets, and constraints. The system handles who sees what.
Small advertisers see the biggest delta. MediaMonks founder Wesley ter Haar told the Times AI tools cut campaign costs roughly 30% and content costs up to 65%. Smaller advertisers reinvest those savings into testing new variations.
For PI advertisers, the 40% relevance gain compounds on what the firm already feeds into Google: keyword strategy, ad creative, conversion tracking, and the pages each ad points to. Google's sensitive-event policy still blocks injury-behavior signals and intake-form retargeting that other categories use freely. Inside the smaller universe of PI-allowed targeting, matching is sharper than it was a year ago.
🎙️ FROM THE POD
Sam Pond on the Referral Engine That Routes 7,000 Cases a Month
Sam Pond's firm refers out 7,000 cases a month. It also pulls seven figures a year from files two other firms already rejected. Pond Lehocky is not selling to private equity.
Pond Lehocky Giordano runs 200+ staff across 14 cities. Sam co-founded the firm 40 years ago and built it into one of the largest workers' compensation and disability operations in the country. The B2B referral pipeline routes 20,000 cases a year out to other firms.
Private equity has approached. Pond reinvests free cash flow instead.
On Episode 433, we covered the PE math that makes Pond walk away from a sale, the third-look process that monetizes files two firms already passed, the capital-allocation framework his leadership team ran at a recent retreat, and the intake-speed rule that makes or breaks marketing ROI.
Third-look cases generate seven figures a year. Pond Lehocky reopens cases two other firms rejected. One firm's dead lead is another's recovery. The firm runs a holistic legal diagnosis on every matter (auto, SSDI, employment, premises, third-party) and surfaces causes of action the first two reviews missed. Pond singled out SSDI as the most-overlooked path, and the fees come back fast.
Lead-to-contact speed is the marketing ROI lever. Pond's rule: If an internet lead waits a minute for the callback, the firm paid for nothing. "That's a death sentence," he said. Warm referrals get a different clock. A brother's neighbor can wait. An internet lead cannot. Marketing spend and intake operations sit on the same scoreboard, and the lead source does not save a sloppy intake floor.
Cash flow is oxygen. Reinvest before you liquidate. Pond's argument against the PE sale runs on math. Pulling free cash flow out of the firm hands 60% to taxes. Reinvesting compounds at the firm's own multiple of X. EBITDA multiples at 7x and above do not reflect what these firms are worth, he said, given PI's near-zero macroeconomic risk. Firms that bite have no succession plan and no second engine to fund.
Run a 10-year capital-allocation model across case types. Pond's leadership retreat ran an exercise on which case categories return what per reinvested dollar over a decade. Nursing home cases emerged as one of the strongest velocity-and-return combinations. Premises liability lands in six months, medical malpractice in 40. The mix is the strategy, and a 10-year horizon is short for a 45-year-old owner.
The referral engine runs on partner-first economics. Pond Lehocky sends cases to every state and U.S. territory. Sam's rule on every new referral deal: A great deal for the firm that costs the partner does not last. Symmetric terms, transparent reporting, and the firm's own Case Exchange technology to track signups, litigation status, and IOLTA transfers. The reputation is what keeps the pipeline filled.
Cash flow is your oxygen.
The takeaway for PI firms: Pull last month's lead-to-contact times by source and the files your firm rejected. If first contact on internet leads runs past a minute, the marketing spend is leaking. If rejected cases never get a second look, the firm leaves the seven figures Sam pulls from his.
By the way, Sam is a featured speaker at PIMCON 2026, October 4-6 in Scottsdale. Get tickets.
Here's our full conversation:
🤖 AI SEARCH TIP OF THE WEEK
Brand depth, not citation count, decides whether AI surfaces your firm. Search Engine Land contributor Myriam Jessier broke down how AI systems pick which brands to recommend. GEO (the SEO of AI search) runs on two layers. Part comes from training data: how often your firm's name sits next to specific case types, named verdicts, and jurisdictions. The rest comes from live retrieval when a consumer fires a query. Models can know a brand without citing it: Only 6% to 27% of frequently mentioned brands rank as top-cited sources.
The action this week: Open ChatGPT, Google AI Mode, and Perplexity. Search your firm's name with three named case types you handle. If the firm appears only next to generic "personal injury" phrases, the model has nothing distinctive to recommend. Build the missing anchors: attorney bios with named verdicts, case studies with court and case numbers, detailed results pages with settlement figures.
🛠️ TOOL OF THE WEEK
Anytime AI Runs the Full PI Case Lifecycle on One Vertical Stack
Anytime AI bundles intake-through-trial PI workflows into a single platform. The legal-AI category has split into horizontal tools (research, review, contracts) that serve all of law and vertical platforms built for one practice area at a time.
Anytime AI is the vertical play for PI, with six modules covering intake screening, medical record analysis, liability and causation review, demand letter drafting, discovery responses, expert case packages, and case intelligence. The company's stated mission is to "transform access to justice for every plaintiff," and the product reflects that focus.
Anytime AI runs every PI case stage on a single vertical stack.
End-to-end PI workflow in one platform. PI firms typically stitch together a medical record summarizer, a demand drafter, and a separate discovery tool to move a case from intake to demand. Anytime AI runs all of it: case intake and screening, automated medical and case chronologies, liability and causation analysis, demand letter generation, discovery responses, expert case packages, and trial preparation. The handoff cost between point solutions disappears.
Built for medical-record volume. Anytime AI processes thousands of pages of records in minutes, per the company, extracting injuries, treatments, diagnoses, imaging results, and billing data into structured, searchable outputs. Treatment gaps and timeline inconsistencies surface in the same pass. Most high-volume PI firms lose throughput in the medical-record bottleneck, and the platform targets it directly.
"Talk to Teddy" sits as a case strategy layer. Teddy is an interactive query interface on top of the case file. An attorney can ask, in plain language, where the liability gaps sit, which records contradict each other, or what dates anchor causation. The model returns answers grounded in the firm's own uploaded documents, not generic legal training data. Strategy review, not just document drafting.
Data discipline matches the malpractice exposure. It never uses client data for model training and never shares data outside the firm, per Anytime AI's security page. The platform encrypts and access-controls all data. PI cases carry HIPAA-sensitive medical records and protected health information from intake forward, and the platform's defaults match that exposure. Trial attorneys on the testimonial wall include Jonathan Lomurro of Lomurro Law (current New Jersey Association for Justice president), Mark D. Rosenberg, Michael Donahue of Stark & Stark, and Hannah Garrett of the Higgins Firm.
Anytime AI earns a pilot at PI firms running three or four separate tools across medical record review, demand drafting, and discovery, and at firms scaling case volume without adding headcount. Benchmark medical-record processing speed and demand turnaround against the firm's current setup. Anytime's vendor-reported time savings are common across the legal-AI category. Only the firm's own pilot data tells you whether they hold against your case mix.
🔗 Anytime AI →
Disclaimer: Personal Injury Mastermind takes all reasonable steps to ensure accuracy in the materials we share, including articles, newsletters, and reports. These materials are intended for general informational purposes only and do not constitute legal advice. They may not reflect the most current laws or regulations. Always consult a qualified attorney for advice on a specific legal matter.
Thanks for reading. Quick ask…if you know someone who’d benefit from this content, please forward this to them. I’ll be back next week. - Chris
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