How AI Search Is Recommending Law Firms: Monthly Trends

Executive Summary

Barley Snyder holds the leadership position in the Law Firms category at 25.0% valid recommendation coverage in September 2026, a rate that has held ahead of the field across all three months of the series. Its current lead over the next-closest firms, Eckert Seamans and Saxton & Stump — tied at 10.0% each — is 15.0 points. The July-to-September change in Barley Snyder's coverage (17.2% to 25.0%, a 7.8-point gain) falls within the range the benchmark treats as normal month-to-month variation, so the stable-leader label reflects the pattern across the full series rather than a single-month surge.

The month's one significant development is McNees Wallace & Nurick's continued decline. The firm shared the coverage lead with Barley Snyder in July at 17.2%, fell to 10.3% in August, and reached 0.0% in September — a 17.2-point drop across the three-month period that the benchmark flags as a significant, two-month downward streak. Saxton & Stump (3.5% to 10.0%) and Obermayer (3.5% in July, 0.0% in August, 5.0% in September) posted the largest gains among the remaining firms, though both moves also sit within the benchmark's normal variation range.

The September run narrowed to 20 qualified observations from 29 in each of the prior two months, and the qualified surface universe expanded from three canonical AI surface families to four with the addition of Copilot. Barley Snyder's leadership has held across all three months, while McNees Wallace & Nurick has moved from co-leader to a firm earning zero valid recommendations.

Each monthly run begins with 257 prompt-surface observations (241 unique questions) in July 2026, 271 (250 unique questions) in August, and 128 (124 unique questions) in September across the benchmark's defined AI/search surface universe. Of those, 174 in July, 179 in August, and 128 in September mentioned a tracked brand or competitor; 44 in each of July and August and 29 in September were relevant, with 130, 135, and 99 respectively irrelevant. The public metrics use the 29 qualified observations for July and August and 20 for September that survive both qualification stages.

Key Findings

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.

The qualified surface breadth expanded from three canonical AI surface families in July to four in September with the addition of Copilot, even as the qualified observation count contracted from 29 to 20.

Benchmark-Level Metrics

The August 2026 reading of 29 qualified observations is omitted from the comparison columns above but matters for interpretation: the category held at 29 observations through August before contracting to 20 in September. The raw mention rate within the September collection was notably higher than July's: all 128 collected prompts mentioned a tracked brand or competitor, versus 174 of 257 in July.

AI Recommendation Trend

The category has moved from a stable two-firm cluster at the top in July to a single clear leader in September. Barley Snyder now holds 25.0% valid recommendation coverage, with Eckert Seamans and Saxton & Stump tied at 10.0% and Obermayer at 5.0%. McNees Wallace & Nurick, which shared the lead with Barley Snyder in July, has fallen to 0.0%; the remaining tracked firms sit at zero.

Valid Recommendation Coverage by Brand

McNees Wallace & Nurick is the only brand whose July-to-September change exceeds the benchmark's normal variation range, registering as a significant, two-month decline; Barley Snyder's 7.8-point gain and Saxton & Stump's 6.5-point gain both fall within that normal range, and the category-level shift also reflects the contraction in qualified observations from 29 to 20.

What Changed This Month

Barley Snyder

Barley Snyder's valid recommendation coverage stands at 25.0% in September, up from 17.2% in July and August — a 7.8-point move that falls within the benchmark's normal month-to-month variation range. Its valid recommendation count moved from 5 out of 29 qualified observations in July to 5 out of 20 in September, so the firm now accounts for a quarter of all qualified recommendations in the category.

The firm's rank-one rate rose from 6.9% in July to 10.0% in September, with 2 rank-one placements out of 20 observations. Its top-3 rate slipped from 13.8% to 10.0%, and raw mention presence held nearly flat, dipping from 31.0% to 30.0%. Net sentiment moved from 0.7 to 0.8.

The distinction worth noticing: Barley Snyder's raw presence is essentially unchanged while its recommendation coverage rose, meaning the gain came from converting existing mentions into recommendations rather than from broader surfacing.

Highest-priority diagnostic: Which prompts converted from mentions into recommendations in September, and are those wins concentrated in specific practice areas or surfaces?

McNees Wallace & Nurick

McNees Wallace & Nurick is the category's significant decliner. Valid recommendation coverage fell from 17.2% in July to 0.0% in September, a 17.2-point drop over the three-month series that the benchmark flags as significant. The decline unfolded in two steps: down to 10.3% in August, then down to 0.0% in September. Its valid recommendation count fell from 5 in July to 3 in August to 0 in September.

The firm's top-3 rate and rank-one rate both fell from 17.2% to 0.0% over the period. Raw mention presence declined from 27.6% to 15.0%, with 3 mentions out of 20 September observations, none of which produced a recommendation. Net sentiment slipped from 0.9 to 0.7.

The distinction worth noticing: the firm remains present in the conversation at 15.0% raw mention presence, but every one of those mentions failed to convert into a recommendation-shaped answer. This is a two-month downward streak, making it a sustained repositioning rather than a one-month fluctuation.

Highest-priority diagnostic: Which prompts produced McNees Wallace & Nurick recommendations in July, and which brand is capturing those slots now that the firm has exited the recommendation set entirely?

Saxton & Stump

Saxton & Stump posted the largest coverage gain among firms outside the significant-movement category this month, with valid recommendation coverage rising from 3.5% in July to 10.0% in September. Its valid recommendation count moved from 1 out of 29 qualified observations in July to 2 out of 20 in September. Raw mention presence rose from 3.5% to 15.0%, with 3 mentions in September.

The firm held a top-3 rate of 5.0% in September, up from 3.5% in July, though its rank-one rate fell from 3.5% to 0.0%. Net sentiment declined from 1.0 to 0.7, reflecting a shift from exclusively positive mentions to a mix that includes neutral ones.

The distinction worth noticing: Saxton & Stump's coverage gain is real but its recommendation profile is shallow — one of its two current placements fell outside the top-3 range. The presence gain, from 1 to 3 mentions, is the more durable signal here.

Highest-priority diagnostic: Which prompts drove the jump from 1 to 3 mentions, and are the resulting recommendations tied to a specific source or practice area?

Obermayer

Obermayer's valid recommendation coverage rose from 3.5% in July to 5.0% in September, after touching 0.0% in August. Its valid recommendation count moved from 1 out of 29 qualified observations in July to 1 out of 20 in September, with the September placement landing at rank 10. Raw mention presence declined from 13.8% to 10.0%, with 2 mentions in September.

The firm's top-3 rate fell from 3.5% to 0.0%, and its rank-one rate held at 0.0%. Net sentiment moved from 0.2 in July to 0.5 in September. The single September recommendation is a small-count signal that should be read with proportion, but it does mark a return to the recommendation set after a one-month absence.

The distinction worth noticing: Obermayer is being recommended again, but at the bottom of the top-10 range and without any top-3 placement, which limits its commercial visibility.

Highest-priority diagnostic: Which prompt produced the rank-10 placement, and what would be required for that recommendation to move into the top 3?

Eckert Seamans

Eckert Seamans held essentially flat, with valid recommendation coverage at 10.3% in July and 10.0% in September. Its valid recommendation count moved from 3 out of 29 qualified observations in July to 2 out of 20 in September. Raw mention presence rose from 24.1% to 30.0%, with 6 mentions in September, tied with Barley Snyder for the highest presence in the category.

The firm's top-3 rate slipped from 6.9% to 5.0%, while its rank-one rate rose from 3.5% to 5.0%, with 1 rank-one placement in September. Net sentiment declined from 0.7 to 0.5. The firm shares second place with Saxton & Stump but holds it on the strength of a much larger presence base.

The distinction worth noticing: Eckert Seamans maintains the second-highest raw presence in the category but converts it into recommendations at a rate well below Barley Snyder's.

Highest-priority diagnostic: Why does the firm's 30.0% presence produce only 10.0% recommendation coverage, and which mentions are failing to convert?

Stevens & Lee

Stevens & Lee's valid recommendation coverage fell from 3.5% in July to 0.0% in September, holding at zero for a second consecutive month. Its valid recommendation count dropped from 1 out of 29 qualified observations in July to 0 out of 20 in September. Raw mention presence declined from 6.9% to 5.0%, with a single mention in September that was positive.

The firm registered no top-3 or rank-one placements in September. Net sentiment moved from 0.5 to 1.0, indicating the one mention it did receive was positive, but that mention did not convert into a recommendation. This is a small-count movement and should be read with appropriate caution.

The distinction worth noticing: Stevens & Lee has now gone two consecutive months without a single valid recommendation, making its absence from the category's recommendation output a sustained condition rather than a one-month artifact.

Highest-priority diagnostic: Which prompts in the category universe could plausibly surface Stevens & Lee, and what is blocking recognition beyond a single positive mention?

McCormick Law Firm

McCormick Law Firm held at 0.0% valid recommendation coverage for a third consecutive month, with zero valid recommendations out of 20 qualified observations in September. Raw mention presence rose from 3.5% in July to 10.0% in September, with 2 mentions, but neither converted into a recommendation-shaped answer or a top-10 placement. Net sentiment declined from 1.0 to 0.5.

Barley Snyder records 25.0% on 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: the firm's mention presence has doubled from 3.5% to 10.0% over the same period, yet none of those mentions have translated into a recommendation across three consecutive months, while Barley Snyder converts a comparable presence base (30.0%) into a quarter of all category recommendations. Presence is building; recommendation output is not following it. That gap between growing visibility and zero recommendation conversion is the commercial issue that needs to be understood before it hardens into a fourth consecutive month at zero.

Highest-priority diagnostic: Why do the firm's mentions, now at 2 per month, still fail to produce any recommendation-shaped answer, and which prompts should be surfacing the firm but are not?

Buyer-Intent Interpretation

All 20 qualified observations in September 2026 fell into the Brand Recommendation cluster, consistent with July and August. No observations qualified for the Pricing & Value or Multi-Brand Comparison clusters in any month of the series. The public benchmark can therefore speak to which 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

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 CiteWorks Studio's AI Industry Market Discovery research program.

• AI Industry Market Discovery Benchmark
• 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. The September contraction to 20 qualified observations from 29 in prior months amplifies percentage movements; a single recommendation now represents 5.0 points rather than 3.4 points.
• Qualified denominator: All percentages are calculated against the 20 qualified September observations or the 29 qualified July observations, not the 128 or 257 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. McNees Wallace & Nurick's significant decline identifies a repositioning worth diagnosing, not a proven cause.
• Instrument note: The September surface universe expanded from 3 to 4 canonical AI surface families with the addition of Copilot to the qualified set.

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 and who captured them. For Barley Snyder, it is whether the 25.0% leadership position rests on a durable set of winning prompts or a narrow concentration. For Saxton & Stump and Obermayer, it is whether their gains signal a sustainable pattern or a one-month artifact.

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.

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