Product Liability Lawyers: AI Market Discovery Index
Tracking how AI platforms recommend product liability lawyers. This public AI Market Discovery Index is updated monthly since July 2026.

On this page
- 01Benchmark Summary
- 02Current Benchmark at a Glance
- 03Research Scope and Qualification
- 04Current Brand Standings
- 05How to Read the Standings
- 06Recommendation Coverage Movement
- 07Largest Decline: The Lanier Law Firm
- 08Largest Decline (Additional): Weitz & Luxenberg
- 09Largest Decline (Additional): Baron & Budd
- 10Category Leader: Morgan & Morgan
- 11Recommendation Placement Snapshot
- 12Buyer-Intent Distribution
Benchmark Summary
Morgan & Morgan led valid recommendation coverage in August 2026 at 35.2%, up from 30.1% in July 2026. The gap to the next brand, The Lanier Law Firm, was 3.0 percentage points in August 2026. Excluding the category leader, Wilshire Law Firm posted the largest coverage increase, rising to 11.0% in August 2026 from 8.0% in July 2026. The largest decline was The Lanier Law Firm, falling 13.0 percentage points to 32.2% in August 2026 from 45.2% in July 2026.
Movement this month was significant for three brands, all declines. The Lanier Law Firm fell 13.0 percentage points, from 45.2% in July 2026 to 32.2% in August 2026. Weitz & Luxenberg fell 10.5 percentage points, from 37.7% in July 2026 to 27.2% in August 2026. Baron & Budd fell 9.0 percentage points, from 16.3% in July 2026 to 7.3% in August 2026. No brand posted an increase large enough to register as significant this month; Wilshire Law Firm's coverage rose 3.0 percentage points, to 11.0% in August 2026 from 8.0% in July 2026, within normal month-to-month variation, and its rank-one rate moved from 0.0% in July 2026 to 4.0% in August 2026. The gap between Morgan & Morgan and The Lanier Law Firm swung from a 15.1-point deficit for Morgan & Morgan in July 2026 to a 3.0-point lead in August 2026, a shift of 18.1 points.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Aug 2026
- Morgan & Morgan+5.1%Jul 202630.1%Aug 202635.2%
- The Lanier Law Firm-13.0% · beyond normal variationJul 202645.2%Aug 202632.2%
- Weitz & Luxenberg-10.5% · beyond normal variationJul 202637.7%Aug 202627.2%
- Wilshire Law Firm+3.0%Jul 20268.0%Aug 202611.0%
- Baron & Budd-9.0% · beyond normal variationJul 202616.3%Aug 20267.3%
- Beasley Allen-2.6%Jul 20269.2%Aug 20266.6%
- Motley Rice-3.5%Jul 20268.8%Aug 20265.3%
- Lieff Cabraser-1.8%Jul 20263.8%Aug 20262.0%
- Robins Kaplan-0.6%Jul 20261.3%Aug 20260.7%
- Aylstock Witkin Kreis & Overholtzno changeJul 20260.0%Aug 20260.0%
Current Benchmark at a Glance
Measure | Jul 2026 | Aug 2026 | Movement |
|---|---|---|---|
Qualified benchmark observations | 239 | 301 | Up 62 |
Tracked brands | 10 | 10 | No change |
Qualified surface breadth | 6 | 6 | No change |
Recommendation-shaped answer share | 52.3% | 56.8% | Up 4.5 points |
Valid recommendation shortlist share | 69.0% | 62.8% | Down 6.2 points |
Leader by valid recommendation coverage | The Lanier Law Firm | Morgan & Morgan | Changed |
Qualified surface breadth counts the number of canonical AI surface families with at least one qualified observation. The six families are ChatGPT, Copilot, Gemini, Perplexity, AI Overviews, and AI Mode.
For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Product Liability Lawyers
Want the full Authority Index
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Research Scope and Qualification
The public benchmark is narrower than the raw collection universe by design.
Research stage | Jul 2026 | Aug 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations | 526 | 800 | Total observations collected from AI surfaces |
Unique questions | 411 | 594 | Distinct questions after deduplication |
Brand / competitor mentions | 526 | 639 | Prompts naming at least one tracked brand |
Relevant observations | 394 | 507 | On-topic for the product liability lawyers vertical |
Irrelevant observations | 132 | 132 | Off-topic, excluded from qualification |
Qualified benchmark observations | 239 | 301 | Public denominator for brand-level metrics |
Brand-level percentages use the qualified observations as the public denominator, not the raw collection. AI Market Discovery Methodology
Current Brand Standings
Brand | Presence rate | Valid recommendation coverage | Top-three rate | Rank-one rate | Net sentiment |
|---|---|---|---|---|---|
Morgan & Morgan | 60.8% | 35.2% | 23.9% | 16.6% | 0.85 |
The Lanier Law Firm | 35.9% | 32.2% | 23.3% | 4.0% | 0.90 |
Weitz & Luxenberg | 33.2% | 27.2% | 24.6% | 6.3% | 0.85 |
Wilshire Law Firm | 12.6% | 11.0% | 8.6% | 4.0% | 0.95 |
Baron & Budd | 9.0% | 7.3% | 4.3% | 1.3% | 0.81 |
Beasley Allen | 13.3% | 6.6% | 5.0% | 1.0% | 0.55 |
Motley Rice | 9.0% | 5.3% | 4.0% | 1.7% | 0.59 |
Lieff Cabraser | 2.3% | 2.0% | 1.3% | 0.3% | 0.86 |
Robins Kaplan | 0.7% | 0.7% | 0.0% | 0.0% | 1.00 |
Aylstock Witkin Kreis & Overholtz | 0.0% | 0.0% | 0.0% | 0.0% | 0.00 |
How to Read the Standings
- Presence rate: share of qualified observations where the brand is mentioned in any context.
- Valid recommendation coverage: share of qualified observations where the brand receives a valid recommendation.
- Top-three rate: share of qualified observations where the brand appears among the top three recommendations.
- Rank-one rate: share of qualified observations where the brand is the first or primary recommendation.
- Net sentiment: share of positive mentions minus negative mentions, divided by total mentions.
For formulas and denominator rules, see AI Market Discovery Metric Definitions.
Recommendation Coverage Movement
Brand | Jul 2026 | Aug 2026 | Movement since baseline |
|---|---|---|---|
Aylstock Witkin Kreis & Overholtz | 0.0% | 0.0% | No change |
Baron & Budd | 16.3% | 7.3% | Down 9.0 points |
Beasley Allen | 9.2% | 6.6% | Down 2.6 points |
Lieff Cabraser | 3.8% | 2.0% | Down 1.8 points |
Morgan & Morgan | 30.1% | 35.2% | Up 5.1 points |
Motley Rice | 8.8% | 5.3% | Down 3.5 points |
Robins Kaplan | 1.3% | 0.7% | Down 0.6 points |
The Lanier Law Firm | 45.2% | 32.2% | Down 13.0 points |
Weitz & Luxenberg | 37.7% | 27.2% | Down 10.5 points |
Wilshire Law Firm | 8.0% | 11.0% | Up 3.0 points |
Largest Decline: The Lanier Law Firm
The Lanier Law Firm fell 13.0 percentage points in valid recommendation coverage, from 45.2% in July 2026 to 32.2% in August 2026. Its presence rate dropped 13.0 points to 35.9%, and its top-three rate fell 11.4 points to 23.3%. The brand remains the second-highest for valid recommendation coverage.
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Largest Decline (Additional): Weitz & Luxenberg
Weitz & Luxenberg declined 10.5 percentage points, from 37.7% in July 2026 to 27.2% in August 2026. Its presence rate fell 8.6 points to 33.2%, and its top-three rate dropped 8.0 points to 24.6%.
Largest Decline (Additional): Baron & Budd
Baron & Budd declined 9.0 percentage points, from 16.3% in July 2026 to 7.3% in August 2026. Its presence rate fell 7.7 points to 9.0%. The rank-one rate declined 0.8 points to 1.3%.
Category Leader: Morgan & Morgan
Morgan & Morgan held the lead in August 2026 at 35.2%, up 5.1 points from 30.1% in July 2026. Its presence rate rose 8.1 points to 60.8%, while its top-three rate was essentially flat at 23.9%. The rank-one rate edged down 0.6 points to 16.6%, despite the coverage leadership gain.
Recommendation Placement Snapshot
Coverage alone does not show how prominently a brand is recommended. Morgan & Morgan led both top-three and rank-one rates in August 2026.
Brand | Aug 2026 top-three rate | Aug 2026 rank-one rate | Jul 2026 top-three rate | Jul 2026 rank-one rate |
|---|---|---|---|---|
Morgan & Morgan | 23.9% | 16.6% | 23.0% | 17.2% |
The Lanier Law Firm | 23.3% | 4.0% | 34.7% | 4.2% |
Weitz & Luxenberg | 24.6% | 6.3% | 32.6% | 9.2% |
Close coverage can hide different first-position rates. Weitz & Luxenberg held a top-three rate 0.7 points above Morgan & Morgan in August 2026, yet its rank-one rate was 10.3 points lower.
Buyer-Intent Distribution
All qualified observations in both months fell into the Brand Recommendation class.
Buyer-intent class | Jul 2026 | Aug 2026 |
|---|---|---|
Brand Recommendation | 239 | 301 |
Pricing & Value | 0 | 0 |
Multi-Brand Comparison | 0 | 0 |
Total qualified observations | 239 | 301 |
The current public series cannot answer pricing or head-to-head comparison questions; it measures brand recommendation discovery only.
Historical Measurement Record
This is an evergreen benchmark URL. New measurements are added to the same report.
Measurement | Qualified observations | Coverage leader | Leader coverage | Largest coverage movement |
|---|---|---|---|---|
Jul 2026 | 239 | The Lanier Law Firm | 45.2% | Baseline |
Aug 2026 | 301 | Morgan & Morgan | 35.2% | The Lanier Law Firm, Down 13.0 points |
Evidence and Source Layer
The benchmark is built from prompt-level observations that retain the query, AI/search surface, answer, brand outcome, recommendation placement, sentiment, and where exposed, citations or attributable evidence sources. Source presence is evidence about the information environment. It is not automatically proof that the source caused the recommendation.
Scope Boundaries
This public benchmark does not measure:
- Market share or attributable sales
- Every possible AI response to every possible query
- Organic-search ranking performance
- Social media mention volume
- Private or sponsored channels
- Causality from a metric movement alone
About This Benchmark
The LLM Authority Index AI Market Discovery Index tracks how often and how prominently brands appear in AI-generated answers, providing a neutral, repeatable measure of AI visibility and recommendation patterns across the product liability lawyers vertical.
- AI Market Discovery Methodology
- AI Market Discovery Metric Definitions
- AI Market Discovery Research Standards
- Modeled AI Authority Value
Get a Company-Level Authority Index
The public industry benchmark shows category-level standings. A company-level Authority Index can go deeper. The public percentage cannot identify the prompts, competitors, or sources causing the result.
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The paid deep-dive adds competitor threat profiles, the gap matrix, citation failure map, platform-by-platform recovery roadmap, and client-specific economic modeling.
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