Strategic framework: personal injury trial firm

Serious-injury search strategy for a boutique trial firm

How I diagnosed why a trial firm with eight-figure results was invisible in local and AI search, and the 90-day framework I’d use to fix it.

Practice area Personal injury
Firm Three-attorney trial practice
Type Independent strategy audit
Sources Public information only
Led by Michael O’Grady
<50 vs. 120–860
Google reviews: the firm vs. the firms above it in the local pack
90-day
Gated plan: each stage passes a check before the next starts
$2K–$10K
Projected cost per signed case (modeled)
About this audit

An independent strategy audit I prepared using only public information: the firm’s website, live Google results and public sources. Findings were observed firsthand; outcomes are modeled projections, not client results. Identifying details have been removed.

The challenge

When I asked ChatGPT to recommend a wrongful death lawyer in the firm’s city, a firm with an eight-figure-plus verdict record wasn’t named.

That firm was a three-attorney personal injury trial practice with the results most firms only advertise: a long record of seven-, eight- and nine-figure outcomes. Online, it looked much smaller than it was. It trailed local competitors by hundreds of reviews, its highest-value pages were thin or outdated, and AI assistants didn’t recommend it for its core case types.

The proof was all on its website. The trust signals Google and AI rely on were missing.

The diagnosis

  • The gap was trust, not traffic. The firm had fewer than 50 Google reviews; the firms ranked above it in the local pack had 120 to 860. That effectively shut it out of review-gated channels like Local Services Ads.
  • AI didn’t know it existed. ChatGPT did not name the firm for car accident or wrongful death recommendations in its city. This was a one-time spot check, not a ranking study, but it matched every other trust signal I found.
  • Its proof wasn’t on the pages that mattered. The wrongful death page showed no results. The car accident page cited an insurance minimum that changed in 2025.
  • The site made contact harder. It had two competing phone numbers, dated trust badges and a single form at the bottom of key pages.
  • There was an opening. The local wrongful death pack showed competitors with 0 to 2 reviews.

The strategic execution

My guiding principle: close the trust gap before you pay for traffic, and gate every expansion on cost per signed case, not on clicks. That became a 90-day plan where each stage has to pass a check before the next one starts.

  • Month 1: fix the foundation. Tie tracking to signed-case outcomes, move to one tracked phone number, optimize the Business Profile and citations, launch a compliant review system, and rewrite five priority pages so search engines and AI answer engines can cite them (generative engine optimization, or GEO).
  • Month 2: test before spending. Test nearby markets with dedicated pages before spending on ads there.
  • Month 3: decide by the numbers. Scale or cut by cost per qualified lead, using decision rules set in advance.
  • Narrow, not broad. Paid search goes only to serious-injury terms where the firm’s proof is strongest, not generic clicks that national firms will always outbid. Review-gated ad channels stay capped until trust catches up.

The impact (projected)

The model shows 3 to 15 signed cases a month at about $2,000 to $10,000 per case, a path to 100+ reviews within six months, and stronger visibility in the case types where the firm’s proof is strongest.

Want to know where your firm’s proof is getting lost? Let’s talk.

Most firms with strong results aren’t short on proof. It’s sitting on pages that search engines and AI assistants don’t trust yet.

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I put this framework into practice for law firms through Verdict Digital Marketing.I own Verdict Digital Marketing. Verdict also takes clients outside of legal.

This is an independent strategy audit built from public information, not a client engagement. Identifying details have been removed. Projected figures are modeled scenarios, not results. Results vary by firm and are not guaranteed.