BrandTerritoryCheck my firm
November 2026 edition

Lerner & Rowe vs Morgan & Morgan

Head-to-head across 8 shared markets (Chicago, IL; Indianapolis, IN; Las Vegas, NV; Los Angeles, CA; Nashville, TN; Phoenix, AZ; Seattle, WA; Tucson, AZ) — branded search demand, market rank, and which firm AI assistants actually recommend. Measured from Google Ads search volume at metro scope, refreshed monthly.

Which firm gets more branded searches?

Morgan & Morgan attracts more branded search demand — 11,560 vs 5,190 branded searches per month across 8 shared markets. Branded searches are people typing the firm's name into Google rather than a generic phrase like "car accident lawyer."

MarketLerner & Rowe /moMorgan & Morgan /moShare of demand
Chicago, IL 1,060 #5 2,020 #3 2.5% · 4.8%
Indianapolis, IN 50 #19 1,080 #2 0.3% · 6.5%
Las Vegas, NV 980 #10 1,310 #7 1.7% · 2.3%
Los Angeles, CA 160 #39 3,590 #1 0.2% · 3.8%
Nashville, TN 70 #17 1,560 #1 0.5% · 11.0%
Phoenix, AZ 1,970 #2 1,110 #4 5.4% · 3.1%
Seattle, WA 110 #23 650 #2 0.5% · 2.8%
Tucson, AZ 790 #1 240 #7 11.4% · 3.5%

Which firm do AI assistants recommend?

When AI assistants were asked to recommend an injury lawyer in Chicago, IL; Indianapolis, IN; Las Vegas, NV; Los Angeles, CA; Nashville, TN; Phoenix, AZ; Seattle, WA; Tucson, AZ this month, the two firms were named equally often — 8 of 128 tested prompts each.

AI recommendation instrumentLerner & RoweMorgan & Morgan
Named when AI assistants are asked to recommend an injury lawyer (November 2026) 8 of 128 8 of 128

Branded search dominance and AI recommendations do not always agree. A firm can lead the search box and still go unnamed when someone asks an AI assistant which lawyer to call. Brand Defense tracks both, monthly — plus every advertiser detected bidding on each firm's name. Measure what's missing — $499/mo →

Firm profiles

Lerner & Rowe — full Brand Demand Profile →
Morgan & Morgan — full Brand Demand Profile →

Both firms are indexed editorially among 1898 measured firms. Figures are Google Keyword Planner bands, not exact counts; AI recommendation counts come from standardized consumer prompts tested against ChatGPT, Perplexity, Gemini and Claude each month. Methodology. Inclusion can be purchased; results cannot — no firm can pay to change a number on this page.
Winning the search is half the fight. The other half is Google Maps.

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Independent measurement. Ownership is disclosed on How we recommend.