How AI Search Is Recommending Law Firms: Monthly Trends
This analysis is based on the source benchmark: Law Firms: 2026 AI Market Discovery Index
Key Takeaways
- Barley Snyder led the category at 17.2% valid recommendation coverage in August 2026, unchanged from July.
- McNees Wallace & Nurick fell 6.9 points to 10.3%, moving from a tie for first into a shared second tier with Eckert Seamans.
- Three firms finished August at 0.0% valid recommendation coverage: Obermayer, Stevens & Lee, and McCormick Law Firm.
- All 29 qualified August observations fell into brand recommendation queries, with no qualified pricing, value, or comparison prompts in the benchmark.
Executive Summary
The Law firms category held steady in August 2026, with no brand posting a standout movement in valid recommendation coverage this month. Barley Snyder leads the category at 17.2% valid recommendation coverage, unchanged from July 2026, holding a 6.9-point gap over the next tier. The category is stable, with all seven tracked firms classified as stable and no standout risers or decliners this month.
The most notable shift is a quiet consolidation around a two-firm leadership tier. McNees Wallace & Nurick slipped from 17.2% in July to 10.3% in August, a 6.9-point decline that moved it out of a tie with Barley Snyder into a shared second position with Eckert Seamans. This is the category's largest single movement this month, though it falls within the range the benchmark treats as normal month-to-month variation for that brand.
Three firms saw valid recommendation coverage fall to zero in August: Obermayer, Stevens & Lee, and McCormick Law Firm. Obermayer's coverage dropped 3.5 points from July's 3.5%, Stevens & Lee likewise fell 3.5 points from July's 3.5%, and McCormick Law Firm held at zero. Raw mention presence tells a slightly different story, with Obermayer's presence actually rising 3.4 points to 17.2%, indicating the firm remains visible but is not being recommended.
Across the two-month series from July to August, the benchmark shows a stable category with modest repositioning beneath the surface. Barley Snyder holds steady leadership, Eckert Seamans is flat at 10.3%, and McNees Wallace & Nurick has ceded its co-leadership position.
Each monthly run begins with 257 prompt-surface observations (241 unique questions) in July 2026 and 271 prompt-surface observations (250 unique questions) in August 2026 across the benchmark's defined AI/search surface universe. Of those, 174 in July and 179 in August mentioned a tracked brand or competitor; 44 in each month were relevant and 130 in July and 135 in August were irrelevant. The public metrics use the 29 qualified observations in each month that survive both qualification stages.
AI recommendation trend
valid recommendation coverage, Jul 2026 to Aug 2026
- Barley Snyderno changeJul 202617.2%Aug 202617.2%
- Eckert Seamansno changeJul 202610.3%Aug 202610.3%
- McNees Wallace & Nurick-6.9%Jul 202617.2%Aug 202610.3%
- Saxton & Stumpno changeJul 20263.5%Aug 20263.5%
- McCormick Law Firmno changeJul 20260.0%Aug 20260.0%
- Obermayer-3.5%Jul 20263.5%Aug 20260.0%
- Stevens & Lee-3.5%Jul 20263.5%Aug 20260.0%
Key Findings
Signal | August 2026 finding |
|---|---|
Category leader | Barley Snyder at 17.2% valid recommendation coverage |
Leader gap | 6.9 points over Eckert Seamans and McNees Wallace & Nurick |
Largest riser | None; no brand posted a standout gain this month |
Largest decliner | McNees Wallace & Nurick, down 6.9 points from July to 10.3% |
Recommendation-shaped answers | 15 of 29 observations (51.7%), unchanged from July |
Valid recommendation shortlist | 13 of 29 observations (44.8%), down from 14 in July |
Benchmark Context
The report separates the raw collection universe from the qualified analysis set. Brand-level recommendation percentages are calculated within the qualified benchmark set.
Research stage | Jul 2026 | Aug 2026 | What it represents |
|---|---|---|---|
Source prompt-surface observations collected | 257 | 271 | Total prompt-surface observations across the defined AI/search surface universe |
Unique questions | 241 | 250 | Distinct questions within the collection |
Brand / competitor mentions | 174 | 179 | Prompts mentioning a tracked brand or competitor |
Relevant prompts | 44 | 44 | Prompts relevant to the category |
Irrelevant prompts | 130 | 135 | Prompts filtered out as irrelevant |
Qualified benchmark observations | 29 | 29 | Public denominator after both qualification stages |
Qualified surface breadth | 3 | 3 | Canonical AI surface families with at least one qualified observation |
Benchmark-Level Metrics
Metric | Jul 2026 | Aug 2026 | Change |
|---|---|---|---|
Qualified observations | 29 | 29 | Flat |
Companies tracked | 7 | 7 | Flat |
Recommendation-shaped answer share | 51.7% | 51.7% | Flat |
Valid recommendation shortlist share | 48.3% | 44.8% | Down 3.5 points |
Category leader by coverage | Barley Snyder | Barley Snyder | Stable |
The August data shows a slightly lower conversion from recommendation-shaped answers to valid recommendation shortlists. July saw 14 of 15 recommendation-shaped answers qualify as valid shortlists; August saw 13 of 15. The gap between the two figures widened accordingly, which is worth watching in the next cycle.
AI Recommendation Trend
The category is stable with a clear leader and a second tier forming. Barley Snyder holds the top position at 17.2% valid recommendation coverage, with Eckert Seamans and McNees Wallace & Nurick tied at 10.3% each. The remaining four firms sit at or near zero.
Brand | Jul 2026 | Aug 2026 | Movement | Aug 2026 rank |
|---|---|---|---|---|
Barley Snyder | 17.2% | 17.2% | Flat | 1st |
Eckert Seamans | 10.3% | 10.3% | Flat | 2nd |
McNees Wallace & Nurick | 17.2% | 10.3% | Down 6.9 points | 2nd |
Saxton & Stump | 3.5% | 3.5% | Flat | 4th |
McCormick Law Firm | 0.0% | 0.0% | Flat | 5th |
Obermayer | 3.5% | 0.0% | Down 3.5 points | 5th |
Stevens & Lee | 3.5% | 0.0% | Down 3.5 points | 5th |
No brand exceeded normal month-to-month variation in August 2026. The category-level change came from the combination of several smaller movements, led by McNees Wallace & Nurick's 6.9-point decline and the two 3.5-point declines from Obermayer and Stevens & Lee.
What Changed This Month
McNees Wallace & Nurick
McNees Wallace & Nurick's valid recommendation coverage fell from 17.2% in July to 10.3% in August, a 6.9-point decline. This is the largest movement in the category this month, though it falls within the range the benchmark treats as normal month-to-month variation. The firm's valid recommendation count dropped from 5 to 3 out of 29 qualified observations.
The decline appears in both recommendation placement and raw presence. Its top-3 recommendation rate fell 6.9 points from 17.2% to 10.3%, and its rank-one rate fell the same amount from 17.2% to 10.3%. Raw mention presence dropped more sharply, down 13.8 points from 27.6% to 13.8%, suggesting the firm was mentioned less overall, not just recommended less.
Notably, net sentiment among the mentions that did occur rose from 0.9 to 1.0, and the firm retained a clean positive-to-neutral ratio with no negative mentions. This points to a presence problem rather than a perception problem.
Highest-priority diagnostic: Which prompts drove the July recommendations that disappeared in August, and which brand captured those recommendation slots?
Obermayer
Obermayer's valid recommendation coverage fell from 3.5% in July to 0.0% in August, a 3.5-point decline. Its valid recommendation count dropped from 1 to 0 out of 29 qualified observations. This is a small-count movement and should be read with appropriate caution.
The decline is not a presence story. Obermayer's raw mention presence actually rose 3.4 points from 13.8% to 17.2%, and its positive visibility rate rose from 6.9% to 10.3%. Net sentiment improved from 0.25 to 0.6. The firm is being talked about more, but those mentions are not converting into recommendations. Its top-3 rate fell 3.5 points to 0.0%, and its top-10 rate fell from 3.5% to 0.0%.
Highest-priority diagnostic: What is the nature of the increased mentions that are not producing recommendations, and which competitor is taking the recommendation in those prompts?
Stevens & Lee
Stevens & Lee's valid recommendation coverage fell from 3.5% in July to 0.0% in August, a 3.5-point decline. Its valid recommendation count dropped from 1 to 0 out of 29 qualified observations. As with Obermayer, this is a small-count movement.
Uniquely in the category, Stevens & Lee's raw mention presence also declined, down 3.4 points from 6.9% to 3.5%. The firm registered only one mention in August, which was positive. It is not being surfaced often enough to register a recommendation.
Highest-priority diagnostic: With near-zero mention presence, which prompts in the category universe could plausibly surface Stevens & Lee, and what is blocking that recognition?
Saxton & Stump
Saxton & Stump held steady at 3.5% valid recommendation coverage in August, unchanged from July. Its valid recommendation count remained at 1 out of 29 qualified observations. Raw mention presence rose 3.4 points from 3.5% to 6.9%, with two mentions, both positive or neutral.
The firm retained a top-3 recommendation rate of 3.5%, but its rank-one rate fell from 3.5% in July to 0.0% in August. It is still being placed in recommendation shortlists but no longer at the top.
Highest-priority diagnostic: Which single prompt produces the recurring Saxton & Stump recommendation, and what moved its position from rank one down within the shortlist?
McCormick Law Firm
McCormick Law Firm held at 0.0% valid recommendation coverage in both July and August, with zero valid recommendations out of 29 qualified observations in either month. The firm registered one neutral mention in the raw data during the period but has not converted that presence into a recommendation-shaped answer, a top-10 placement, or any shortlist appearance. Its current standing places it in a shared last-place tier at 5th, alongside Obermayer and Stevens & Lee, both of which at least held nonzero coverage in July before falling to zero.
Barley Snyder records 17.2% valid recommendation coverage, while McCormick Law Firm stands at 0.0%. The more important issue is what that gap means for McCormick Law Firm's recommendation position: it is not simply behind the category leader, it is currently absent from the category's recommendation output entirely across two consecutive months, with only a single neutral mention to show for the period. Firms with declining coverage this month, such as Obermayer and Stevens & Lee, at least generated one valid recommendation in July; McCormick Law Firm generated none in either month tracked. Left unresolved, a firm with zero valid recommendation coverage across a full two-month cycle has no established baseline to defend and no visible foothold from which to compete for the recommendation slots that Barley Snyder and the second tier currently hold.
Highest-priority diagnostic: Why does McCormick Law Firm's single neutral mention not convert into any recommendation-shaped answer, and which prompts in the category universe should be surfacing the firm but currently are not?
Buyer-Intent Interpretation
Buyer-intent cluster | What it captures | Strategic question |
|---|---|---|
Brand Recommendation | Queries seeking a specific firm or "best firm" style recommendations | Which firm does the AI surface when a buyer asks for a direct recommendation? |
Pricing & Value | Queries about cost, fees, and value considerations | What does the AI say about firm pricing, and does any firm appear in cost-related answers? |
Multi-Brand Comparison | Queries asking for head-to-head or side-by-side comparisons | Which firms does the AI name when explicitly comparing options? |
All 29 qualified observations in August 2026 fell into the Brand Recommendation cluster. No observations qualified for the Pricing & Value or Multi-Brand Comparison clusters in either July or August. The public benchmark can therefore speak to which Pennsylvania law firms AI systems recommend, but it cannot yet answer price, value, or head-to-head comparison questions. Those commercial questions require a deeper, prompt-level analysis beyond the aggregate benchmark.
Brand Opportunity Summary
Brand | Aug 2026 coverage | Current signal | Highest-priority diagnostic |
|---|---|---|---|
Barley Snyder | 17.2% | Stable leader with rising presence (34.5%, up 3.5 points) | Which recommendation prompts is it winning consistently, and is the top-3 rate of 10.3% a ceiling or a baseline? |
Eckert Seamans | 10.3% | Stable second tier with rising presence (31.0%, up 6.9 points) | Why does higher presence not convert into higher recommendation coverage? |
McNees Wallace & Nurick | 10.3% | Declined 6.9 points from July co-leadership | Which prompts dropped out of the recommendation set, and who captured them? |
Saxton & Stump | 3.5% | Flat with 1 valid recommendation | Is the single recurring recommendation driven by a specific source or practice area? |
McCormick Law Firm | 0.0% | Flat at zero, 1 neutral mention, 17.2 points behind the category leader | Why does a neutral mention not convert into any recommendation coverage? |
Obermayer | 0.0% | Presence rising (17.2%), coverage at zero | What is the gap between being mentioned and being recommended? |
Stevens & Lee | 0.0% | Presence declining (3.5%, down 3.4 points) | Which prompts could surface the firm, and what is blocking recognition? |
The benchmark identifies where attention is warranted; a company-level analysis is needed to explain why.
Evidence Behind the Benchmark
The aggregate metrics are built from prompt-level observations (query, surface, recommendation outcome, rank, sentiment, and citations where exposed). Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation.
About This Benchmark
This report is part of the LLM Authority Index AI Market Discovery research program.
- AI Industry Market Discovery
- AI Industry Market Discovery Methodology
- AI Industry Market Discovery Metrics
- AI Industry Market Discovery Standards
Report-Specific Interpretation Notes
- Small-count movements: Several brands show movements of 1 or 2 valid recommendations between months. These are meaningful signals for a niche vertical but should be interpreted with proportion.
- Qualified denominator: All percentages are calculated against the 29 qualified observations per month, not the 257 or 271 raw prompt-surface collections.
- Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes.
Next Step
The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.
The aggregate percentage hides the specific commercial questions beneath it: which high-intent prompts is a firm winning, which competitor takes the recommendation when it loses, what attributes does the AI associate with each firm, and which external sources are shaping those answers. For McNees Wallace & Nurick, the question is which prompts dropped out. For Obermayer, it is why rising presence is not converting into recommendations. For McCormick Law Firm, it is why two consecutive months of zero valid recommendation coverage have not yet been diagnosed at the prompt level. For Barley Snyder, it is whether the current leadership position rests on a durable set of winning prompts.
A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. The benchmark shows the scoreboard; the audit explains the game.
/ Take the next step
Want to Understand Your AI Citation Footprint?
We start every engagement with a full audit of how AI systems reference your brand today.
Measurable, Repeatable Programme
Build a durable foundation of credible citations that compounds over time and continues to influence AI answers as new queries emerge
Citation Architecture Review
Identify which high-authority community sources are and aren't working in your favour across AI platforms.
AI Visibility Audit
Understand exactly how LLMs are referencing your brand today and which sources are shaping those answers.
/ Learn More
Understanding AI search visibility.
AI search experiences create answers by pulling information from many places online and summarizing it into a single response.


