How AI Search Is Recommending Medical Malpractice Lawyers: Monthly Trends

Mark HuntleyBy Mark HuntleyFounder and CEO
15 minutes read

Key Takeaways

  • Morgan & Morgan led October 2026 coverage at 53.1%, with a 42.5-point gap over The Cochran Firm.
  • Munley Law was the only significant decliner, falling from 18.2% in July to 3.8% in October.
  • The category was stable overall, with nine of ten tracked firms classified as stable across the four-month window.
  • All qualified observations fell into brand recommendation queries; pricing and multi-brand comparison prompts produced none.

Executive Summary

Morgan & Morgan remains the coverage leader in October 2026 at 53.1% valid recommendation coverage, but its lead over the next brand is now decisive in a way it was not in September. The gap to The Cochran Firm at 10.6% stands at 42.5 points. That is a wider separation than at any point since July 2026, and it comes from a sharp recovery in the leader's coverage rather than from movement among the firms below it.

The strongest single move this month belongs to Morgan & Morgan, which rose 13.8 points from September 2026 to October 2026, recovering most of the ground it lost over the summer. Coverage moved from 53.5% in July 2026 to 53.1% in October 2026, a change of minus 0.4 points across the full series, and the benchmark classifies the firm as stable across the baseline-to-current window. The month-to-month gain is the largest single-month move recorded by any tracked firm in this vertical to date.

Munley Law is the only brand the benchmark classifies as a significant decliner. Coverage fell from 18.2% in July 2026 to 3.8% in October 2026, a decline of 14.4 points, and the downward streak now runs three consecutive months from 18.2% to 11.1% to 4.9% to 3.8%. This is a sustained contraction, not a single-month dip, and it removed the firm from the second position it held at baseline.

The category as a whole is best described as stable with one significant decliner. Nine of ten tracked brands are classified as stable across the four-month window. Only Morgan & Morgan and Munley Law recorded significant movement at any point, and of those two only Munley Law's movement persisted into October.

Each monthly run begins with prompt-surface observations across the benchmark's defined AI/search surface universe. July 2026 began with 489 prompt-surface observations (406 unique questions), all mentioning a tracked brand or competitor; 266 were relevant and 223 irrelevant, yielding 159 qualified observations. October 2026 began with 643 observations (470 unique questions), 583 of which mentioned a tracked brand or competitor; 346 were relevant and 237 irrelevant, yielding 160 qualified observations. August 2026 and September 2026 sat between these months at 162 and 183 qualified observations respectively. The public metrics use the qualified observations that survive both qualification stages in each month.

AI recommendation trend

valid recommendation coverage, Jul 2026 to Oct 2026

0%15%30%45%60%Jul 2026Aug 2026Sep 2026Oct 2026
  • Morgan & Morgan53.1%
  • The Cochran Firm10.6%
  • Munley Law3.8%
  • Lubin & Meyer1.9%
  • Gilman & Bedigian0.0%
  • Lopez McHugh0.0%
  • Miller & Zois0.0%
  • Newsome Melton0.0%
  • Paulson & Nace0.0%
  • Pegalis Law Group0.0%

Key Findings

Signal

October 2026 finding

Category leader

Morgan & Morgan, 53.1% valid recommendation coverage (85 of 160 qualified observations)

Rank-one leader

Morgan & Morgan, 30.0% top-rank rate (48 of 160 qualified observations)

Largest monthly riser

Morgan & Morgan, up 13.8 points from September 2026 (39.3% to 53.1%)

Significant decliner

Munley Law, down 14.4 points from July 2026 (18.2% to 3.8%), three months running

Category classification

Stable; one significant decliner, nine brands stable

Market breadth

Four of ten tracked firms received at least one valid recommendation in October 2026

AI Response Inconsistency Alerts

Questions This Section Answers

  • What factual inconsistencies were detected across AI platforms about Morgan & Morgan?
  • Which platforms disagreed about Dan Newlin's employment history and the settlement fund timeline?

Six critical or high-severity factual inconsistencies were detected across three AI platforms: ChatGPT, Copilot, and Perplexity. All six involve Morgan & Morgan.

Morgan & Morgan

A critical inconsistency concerns whether Dan Newlin was ever employed by Morgan & Morgan. When asked "Did Dan Newlin work for Morgan and Morgan?", ChatGPT stated that Dan Newlin worked for Morgan & Morgan for about a decade, leaving in 2011, citing WESH and West Orlando News. Copilot stated that Dan Newlin did not work for Morgan & Morgan, that he founded his own firm in 2001, and that he has operated independently ever since, citing Wikipedia, the Cornell legal directory, and Martindale. The two claims cannot both be true. Flagged sources on the ChatGPT side include a WESH article stating that attorney Dan Newlin was leaving Morgan & Morgan to launch his own firm and a West Orlando News article describing him breaking away from a leading personal injury firm.

A second critical inconsistency addresses the same question. ChatGPT restated that Dan Newlin worked for Morgan & Morgan for roughly ten years, leaving in late 2011, citing a federal court order and an Insurance News Net article. Copilot again stated that Dan Newlin never worked for Morgan & Morgan and founded his own firm in 2001. Wikipedia was flagged as the source supporting the Copilot position.

A high-severity inconsistency concerns the timeline for receiving settlement funds. When asked "How long does it take to get money from Morgan and Morgan?", Perplexity stated that settlements typically pay out within about 7 to 10 business days after the closing statement is signed, citing three pages on the firm's own site. Copilot stated that most clients are paid within 1 to 6 weeks once all documents are signed and liens are cleared. The two ranges are incompatible. Three pages from the firm's own site were flagged as supporting the longer timeline.

A second high-severity inconsistency on the same question involved Perplexity and ChatGPT. Perplexity stated the 7 to 10 business day timeline. ChatGPT stated the process typically takes about 4 to 8 weeks, citing a firm blog post. The two answers disagree on the same underlying process.

A high-severity inconsistency concerns whether John Morgan's sons are attorneys. When asked "Is John Morgan's daughter an attorney?", ChatGPT stated that the sons Matt, Michael, and Daniel are lawyers, citing a trial lawyer magazine PDF. Copilot stated that none of the children, including Matt, Michael, and Daniel, are attorneys and that they pursued careers outside the legal field, citing a FindLaw directory, a Martindale profile, and the firm's own attorney page.

A high-severity inconsistency concerns Florida attorney headcount. When asked "Who is the biggest law firm in Florida?", ChatGPT stated that Morgan & Morgan is the biggest Florida-based law firm by overall attorney headcount at 1,270 attorneys firmwide, citing a GlobeNewswire release, a Tampa Bay Business Journal ranking, and a Greenberg Traurig press release. Copilot stated that Morgan & Morgan has 544 Florida attorneys and ranks third in Florida behind Holland & Knight and Cole Scott & Kissane, citing ZoomInfo, the same Tampa Bay Business Journal ranking, and a Vault regional resource. Both answers give incompatible attorney counts and rankings for the same firm.

Benchmark Context

Questions This Section Answers

  • How many prompts qualified for the medical malpractice benchmark in October 2026, and why did the qualified set shrink even as raw collection rose?
  • What benchmark-level metrics changed between July and October 2026?

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

Oct 2026

What it represents

Source prompt-surface observations collected

489

643

Raw prompts gathered across the AI surface universe

Unique questions

406

470

Distinct questions after de-duplication

Brand / competitor mentions

489

583

Prompts naming at least one tracked firm or competitor

Relevant prompts

266

346

Prompts relevant to the medical malpractice vertical

Irrelevant prompts

223

237

Prompts outside the vertical's scope

Qualified benchmark observations

159

160

Public denominator after both qualification stages

Qualified surface breadth

6

6

AI surface families with at least one qualified observation

August 2026 and September 2026 sat between these two months at 162 and 183 qualified observations. The qualified set peaked in September and contracted slightly in October even as raw collection volume rose, meaning a larger share of collected prompts fell outside the vertical's scope this month.

Benchmark-Level Metrics

Metric

Jul 2026

Oct 2026

Change

Qualified observations

159

160

Up 1

Companies tracked

10

10

No change

Recommendation-shaped answer share

44.0% (70 of 159)

34.4% (55 of 160)

Down 9.6 points

Valid recommendation shortlist share

54.7% (87 of 159)

51.9% (83 of 160)

Down 2.8 points

Category leader by coverage

Morgan & Morgan (53.5%)

Morgan & Morgan (53.1%)

Position held

The intermediate months add useful context. Recommendation-shaped answer share fell from 44.0% in July to 40.7% in August to 32.2% in September before recovering to 34.4% in October. Valid recommendation shortlist share followed a similar path, from 54.7% to 51.9% to 38.3% and back to 51.9%. October's shortlist share matches August's exactly.

AI Recommendation Trend

Questions This Section Answers

  • Which medical malpractice firms led the category in October 2026, and how wide is the coverage gap between first and second?
  • Which firm was the only significant decliner across the four-month window?

The category is stable with one exception. Morgan & Morgan holds a 42.5-point coverage lead over the second-ranked firm, and only Munley Law recorded a movement the benchmark classifies as significant across the four-month window.

Coverage Held Steady at the Top While One Challenger Fell Away

Brand

Jul 2026

Oct 2026

Movement

Oct 2026 rank

Gilman & Bedigian

0.0%

0.0%

Flat

6th

Lopez McHugh

0.0%

0.0%

Flat

6th

Lubin & Meyer

5.7%

1.9%

Down 3.8 points

4th

Miller & Zois

0.0%

0.0%

Flat

6th

Morgan & Morgan

53.5%

53.1%

Down 0.4 points

1st

Munley Law

18.2%

3.8%

Down 14.4 points

3rd

Newsome Melton

0.0%

0.0%

Flat

6th

Paulson & Nace

0.0%

0.0%

Flat

6th

Pegalis Law Group

0.0%

0.0%

Flat

6th

The Cochran Firm

15.7%

10.6%

Down 5.1 points

2nd

Only Munley Law exceeded the range the benchmark treats as normal month-to-month variation across the baseline-to-current window. Morgan & Morgan's baseline-to-current change of minus 0.4 points masks a volatile path in between, and the category-level picture is the combination of one sustained decline against an otherwise flat field.

What Changed This Month

Questions This Section Answers

  • How did Morgan & Morgan recover 13.8 points in October 2026, and did its top-three placement improve alongside coverage?
  • What drove Munley Law's four-month decline across coverage, presence, and top-three placement?
  • What does The Cochran Firm's receded August peak mean for its hold on second position?

Morgan & Morgan: The Lead Widened Sharply on a Single-Month Recovery

Morgan & Morgan's valid recommendation coverage moved from 53.5% in July 2026 to 53.1% in October 2026, a change of minus 0.4 points that the benchmark does not classify as significant. The sharper story is the month-over-month move. Coverage stood at 39.3% in September 2026, so October's 53.1% represents a gain of 13.8 points, the largest single-month move recorded by any tracked firm in this vertical and a change the benchmark classifies as significant against the prior month.

Placement moved with coverage on the monthly view. The recommended top-three rate stood at 35.6% in October 2026 against 47.2% in July 2026, a decline of 11.6 points that the benchmark classifies as significant across the full window. Rank-one recommendations moved from 35.9% in July 2026 to 30.0% in October 2026, down 5.9 points, which the benchmark does not classify as significant. In absolute terms the firm recorded 85 valid recommendations in October 2026 from 160 qualified observations.

Raw mention presence moved from 90.6% in July 2026 to 96.2% in October 2026, a gain of 5.6 points that the benchmark classifies as significant. The firm appeared in 154 of 160 qualified observations.

The distinction to notice is that near-universal presence and top-three placement are moving in opposite directions across the series. The firm is more visible than at baseline but is named in the top three less often. Average recommended rank stood at 2.44 in October 2026, meaning that when the firm is recommended it tends to land in the middle of the top three rather than at the top.

Highest-priority diagnostic: Which prompts produced the September-to-October recovery, and did those same prompts return the firm to top-three placement or only to the shortlist?

Munley Law: A Three-Month Significant Decline

Munley Law's valid recommendation coverage moved from 18.2% in July 2026 to 3.8% in October 2026, a decline of 14.4 points that the benchmark classifies as significant. The decline has been continuous: 18.2% to 11.1% to 4.9% to 3.8% across the four months, a downward streak the benchmark records as three months running. The category classification lists Munley Law as the only significant decliner.

The decline appears across every supporting metric. Raw mention presence fell from 21.4% in July 2026 to 5.0% in October 2026, a decline of 16.4 points that the benchmark classifies as significant, with present counts falling from 34 observations to 8. The recommended top-three rate fell from 17.0% in July 2026 to 1.9% in October 2026, down 15.1 points and classified as significant, with top-three counts falling from 27 to 3. Rank-one appearances moved from one in July 2026 to zero in October 2026. Valid recommendations moved from 29 to 18 to 9 to 6 across the four months.

The distinction to notice is that presence and recommendation fell together rather than presence holding while placement slipped. Average recommended rank held at 3.0 in October 2026, so the firm was not merely recommended less prominently; it was recommended far less often. Its 6 valid recommendations in October 2026 rest on a very small base.

Highest-priority diagnostic: Which prompt types stopped mentioning Munley Law entirely, and which firm now occupies the answer slots the firm held in July 2026?

The Cochran Firm: The Second Position Held Despite a Softer Month

The Cochran Firm's valid recommendation coverage moved from 15.7% in July 2026 to 10.6% in October 2026, a decline of 5.1 points that the benchmark does not classify as significant. The firm peaked at 19.8% in August 2026 before declining to 11.5% in September 2026 and 10.6% in October 2026, a downward streak the benchmark records as two months. The September-to-October change was minus 0.9 points, below the threshold the benchmark treats as normal variation.

Raw mention presence moved from 20.1% in July 2026 to 14.4% in October 2026, a decline of 5.7 points that the benchmark does not classify as significant, with present counts falling from 32 observations to 23. The recommended top-three rate moved from 14.5% in July 2026 to 8.8% in October 2026, down 5.7 points and not classified as significant. The firm recorded one rank-one recommendation, a rate of 0.6%, matching the single rank-one appearance recorded in September 2026 and against zero in July 2026. Valid recommendations moved from 25 to 32 to 21 to 17 across the four months.

The distinction to notice is that The Cochran Firm's August peak has now fully receded, yet the firm still holds second position by a margin of 6.8 points over the third-ranked firm. Its position in the category depends more on the decline of those below it than on its own movement.

Highest-priority diagnostic: Which prompts drove the August peak, and did those prompts revert to Morgan & Morgan or to a firm outside the tracked set?

The Widening Gap Below the Leader

The gap between Munley Law and three zero-coverage firms has narrowed every month of the series. Against Gilman & Bedigian, Lopez McHugh, and Miller & Zois, the gap moved from 18.2 points at baseline to 3.8 points in October 2026, a narrowing of 14.4 points that the benchmark records as having occurred in every month of the window.

The distinction to notice is that this is a category observation about repositioning, not a single firm's problem. As Munley Law's coverage contracted across four months, it moved toward the group of firms that receive no valid recommendations at all. The lower half of this category is converging on zero rather than competing for a fixed share.

Highest-priority diagnostic: Did the recommendation slots Munley Law vacated move to the leader, to The Cochran Firm, or to firms outside the tracked set?

Buyer-Intent Interpretation

Questions This Section Answers

  • Which buyer-intent clusters generated qualified observations, and which recorded none?
  • What can the benchmark not yet show about how AI systems evaluate medical malpractice firms on cost or head-to-head comparison?

Buyer-intent cluster

What it captures

Strategic question

Brand Recommendation

Queries asking which firm to use or seeking a recommended medical malpractice lawyer

Who does the AI name, and in what rank?

Pricing & Value

Queries about cost, fees, or value of legal services

Is any firm cited in pricing discussions?

Multi-Brand Comparison

Queries explicitly comparing two or more firms

When compared head-to-head, who is preferred?

In July, August, September, and October 2026, every qualified observation fell into the Brand Recommendation class. The comparison and pricing clusters recorded no qualified observations in any month of the series.

The commercial consequence is that the public benchmark can currently answer one question well and three questions not at all. It shows which firms AI systems name when a person asks for a medical malpractice lawyer. It cannot yet show how those firms are evaluated on cost, how they compare when named side by side, or what attributes drive selection when price or value is the stated concern. For a vertical where the choice of counsel is often shaped by fee structure and contingency terms, that is a meaningful gap in what the benchmark can support today.

Brand Opportunity Summary

Brand

Oct 2026 coverage

Current signal

Highest-priority diagnostic

Gilman & Bedigian

0.0%

No presence detected in October 2026 after one August mention

Which surface cited the firm in August, and why did it disappear?

Lopez McHugh

0.0%

No presence detected in any month of the series

Is the firm absent from every surface, or only from qualified prompts?

Lubin & Meyer

1.9%

Low coverage with 3 valid recommendations, up slightly from September

Which surfaces brought the firm back into AI answers in October?

Miller & Zois

0.0%

One raw mention in October 2026 with no valid recommendation

What separated the single mention from a recommendable answer?

Morgan & Morgan

53.1%

Recovered to baseline coverage on a 13.8-point monthly gain

Which prompts produced the recovery, and did top-three placement follow?

Munley Law

3.8%

Significant decline across four months to 6 valid recommendations

Which prompts stopped mentioning the firm entirely?

Newsome Melton

0.0%

No presence detected in any month of the series

Is the firm visible in any unqualified surface?

Paulson & Nace

0.0%

No presence detected in any month of the series

Is the firm entirely absent from AI answer surfaces?

Pegalis Law Group

0.0%

No presence detected in any month of the series

Is the firm cited only outside qualified prompts?

The Cochran Firm

10.6%

Second position held, but down from the August peak

What drove the August rise, and why did it recede?

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: the query, the AI surface that answered it, the recommendation outcome, the rank assigned, sentiment where expressed, and citations where the surface exposed them. Brand-level percentages are calculated within the qualified benchmark set, not the raw collection universe.

Company-level analysis can go deeper into prompt, competitor, surface, and evidence patterns. Source presence is not automatically treated as proof of causation, and citation frequency is not endorsement. Where AI surfaces cite a firm's own pages, as several did in the inconsistencies recorded this month, that indicates the firm's content shaped the answer without establishing that the answer is accurate or favorable.

About This Benchmark

This report is part of the CiteWorks Studio AI Visibility Market Discovery research program.

Report-Specific Interpretation Notes

  • Small-count movement: Several brands in this vertical carry single-digit valid recommendation counts. Munley Law's October 2026 coverage of 3.8% rests on 6 valid recommendations; Lubin & Meyer's 1.9% rests on 3. Percentage changes for these brands should be read as directional context rather than settled rankings.
  • Qualified denominator: Brand-level percentages are calculated within the 160 qualified observations for October 2026, not the 643 raw prompts collected. The qualified set fell from 183 in September 2026 to 160 in October 2026 even as raw collection rose, so month-over-month percentage comparisons rest on different denominators.
  • Directional analysis: Month-over-month movement identifies changes worth investigating; it does not by itself establish the cause of those changes. Morgan & Morgan's 13.8-point October recovery and Munley Law's four-month decline are both worth examining at the prompt level before any conclusion is drawn about what produced them.

Next Step

The Public Benchmark Shows Where a Brand Is Winning or Losing. A Company-Level Audit Shows Why.

Beneath the aggregate coverage percentages sit the questions that determine competitive position: which high-intent prompts a firm wins, which competitor takes the recommendation when a firm loses, what attributes AI systems associate with each option, and which external sources shape those answers. For Munley Law, the benchmark shows a significant four-month decline to 6 valid recommendations but cannot yet reveal which prompt patterns or evidence sources drove that contraction. For Morgan & Morgan, the benchmark shows a full recovery to baseline coverage alongside a significant decline in top-three placement, raising the question of what changed in how the firm is ranked rather than whether it is named.

A company-specific AI visibility audit maps those prompt, surface, competitor, ranking, sentiment, and evidence-source patterns into a prioritized visibility strategy. That audit turns the benchmark's category-level signals into actionable diagnosis for any firm in this vertical.

Request an AI visibility audit

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What Is AI Citation Intelligence?
AI citation intelligence is the process of measuring where AI platforms source their information and how frequently a brand is mentioned or referenced in AI-generated responses. Because LLMs synthesize across multiple sources, the sites and brands that appear repeatedly tend to influence how a topic or company is framed. This practice focuses on identifying which sources shape AI outputs and tracking brand visibility across different AI systems.
What Is Citation Architecture?
Citation architecture describes the set of sources that consistently inform how AI systems talk about a brand, product, or topic. LLMs draw from websites, articles, forums, and public discussion, and the sources they rely on most often become the backbone of their answers. Building strong citation architecture means ensuring that accurate, credible, high authority sources are the ones most likely to shape the way AI tools summarize and recommend a brand.
What Is Generative Engine Optimization?
Generative engine optimization (GEO) is the practice of improving the chances that AI systems use and cite your brand or content when generating answers. While traditional SEO is centered on ranking pages in search results, GEO focuses on how LLMs retrieve, interpret, and combine information when responding to a question. The objective is to strengthen the content and sources AI systems rely on, so your brand is treated as a trusted reference in AI responses.
What Is AI Share of Voice?
AI share of voice tracks how often a brand appears in AI-generated answers compared with competitors in the same category. It reflects visibility across AI platforms such as ChatGPT, Gemini, Claude, and Perplexity. Monitoring AI share of voice helps organizations see whether AI systems consistently include and recommend their brand for key queries or whether competitor brands are showing up more often.

About The Author

Mark Huntley

Mark Huntley

Founder and CEO

Mark Huntley, J.D. is founder of CiteWorks Studio, a strategic advisory focused on visibility, authority, and recommendation presence in AI-shaped search environments. His work centers on embedding-level GEO, vector optimization, and cosine gap engineering — helping brands align their digital presence with the retrieval systems that increasingly shape discovery, interpretation, and choice.

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