Medical Malpractice Lawyers AI Visibility Ranking Trends - November 2026

Answer capsule

The November 2026 Medical Malpractice Lawyers benchmark compares 10 companies across 217 AI answers that met its inclusion rules. Morgan & Morgan leads with 124 recommendations (57.14% of answers). At least one tracked company was recommended in 129 answers; some answers recommended several companies.

The rankings distinguish being mentioned from receiving an affirmative recommendation, then examine placement and the wording used about each company. Earlier monthly results show how counts and rates changed, with each month using its own answer total. These results describe the answers reviewed, not product quality or customer satisfaction. Differences between monthly samples limit comparisons and do not establish why a result changed.

For the strategic interpretation of this benchmark, read CiteWorks Studio's analysis of How AI Search Is Recommending Medical Malpractice Lawyers

Industry leaderboard

Questions This Section Answers

• How do Medical Malpractice Lawyers rank by recorded AI recommendations in November 2026?

The leaderboard orders tracked companies by recommendation count, meaning the number of reviewed AI answers that affirmatively endorsed each firm. That single measure answers how often endorsement appeared, not how prominently or favorably a firm was described. A high rank can coexist with many mentions that carried no recommendation.

Ties reflect equal recommendation counts, so shared ranks are not unique wins. Mentions, recommendations, shortlist placements and first-place placements are nested readings: placements sit inside recommendations, and recommendations sit inside mentions. Reading them separately avoids treating one count as a substitute for another.

Key findings

Tracked-company answer coverage

Questions This Section Answers

• How often did the November 2026 Medical Malpractice Lawyers answer sample recommend any tracked company?

129 distinct answers recommended at least one tracked company. Counting each company recommendation separately gives 160, because an answer can recommend several companies. Answers with no tracked recommendation may still have recommended companies outside this comparison.

Every qualified answer mentioned at least one tracked company, but only a majority recommended one. That gap shows reach and endorsement are distinct: a firm can appear in an answer without being put forward as a choice. Coverage here describes the reviewed answers, not the wider market of malpractice firms.

Multiple tracked companies appeared together in some answers, so company totals overlap and cannot be summed into a market share. Answers without a tracked recommendation may still have named firms outside this comparison, which limits any claim about overall answer content.

Reach and affirmative recommendation

Morgan & Morgan ranks 1 by recommendation count. Mentions: 204 (94.01%); recommendations: 124 (57.14%). Top 3 placements: 92 (42.40%); first-place placements: 66 (30.41%).

Wording about the company: 171 positive, 33 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 60.8%. The net framing score was 0.84 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 74.19% were Top 3 and 53.23% were first-place.

Morgan & Morgan illustrates the difference between presence and endorsement. It appeared in most answers but was affirmatively recommended in a smaller share, leaving many mentions without a recorded recommendation. Mention therefore measures appearance, while recommendation measures explicit endorsement within the same answer.

Among its recorded recommendations, most were shortlist placements and a narrower group were first-place. These are nested subsets rather than separate wins. The framing counts describe wording in the selected answers, not customer sentiment or verified firm quality.

Recommendation order and placement

Placement describes where a recommended firm sat in an answer's ordering. Shortlist placements and first-place placements are subsets of recommendations, so they should not be added to recommendation counts or read as extra endorsements. A firm can be recommended often yet rarely placed first.

Recommendation-to-mention ratios vary widely across firms, and small mention bases make strong ratios fragile. Where a firm had no mentions, the ratio is undefined rather than zero. These ratios describe recorded answer wording, not customer conversion or sales outcomes.

Classified framing in context

Framing classifies the wording used about each company in the reviewed answers as positive, neutral or negative. It describes language, not reputation, customer satisfaction or service quality. Neutral wording is common for some firms and does not imply a weak or withheld recommendation. Positive wording does not establish why an endorsement appeared or was absent, since framing and recommendation are recorded separately.

These counts describe the selected answers only. They are a separate snapshot rather than a measure of how clients or the public view these firms, and the limits of that sample should be kept in mind when reading the wording totals.

Company results in detail

Morgan & Morgan

Questions This Section Answers

• What do the November 2026 AI answer results show about Morgan & Morgan mentions, recommendations and placement?

Morgan & Morgan ranks 1 by recommendation count. Mentions: 204 (94.01%); recommendations: 124 (57.14%). Top 3 placements: 92 (42.40%); first-place placements: 66 (30.41%).

Wording about the company: 171 positive, 33 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 60.8%. The net framing score was 0.84 (defined in Methodology).

80 mentions had no recorded recommendation. Of recorded recommendations, 74.19% were Top 3 and 53.23% were first-place.

From October 2026 to November 2026, Morgan & Morgan's mention count rose from 154 to 204, while its recommendation count rose from 85 to 124. The recommendation rate was 53.13% and 57.14% respectively.

Morgan & Morgan leads on recommendation count and appears in nearly every reviewed answer, giving it the broadest reach in this set. Its recommendations are frequent but form a smaller share of its mentions, so presence and endorsement diverge noticeably here.

Most of its recorded recommendations were shortlist placements, with a narrower group placed first. Wording was overwhelmingly positive with no negative mentions. Its mention and recommendation counts both rose from the prior month, though the separate samples do not explain why.

The Cochran Firm

Questions This Section Answers

• What do the November 2026 AI answer results show about The Cochran Firm mentions, recommendations and placement?

The Cochran Firm ranks 2 by recommendation count. Mentions: 20 (9.22%); recommendations: 18 (8.29%). Top 3 placements: 15 (6.91%); first-place placements: 0 (0.00%).

Wording about the company: 18 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 90.0%. The net framing score was 0.90 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, 83.33% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, The Cochran Firm's mention count fell from 23 to 20, while its recommendation count rose from 17 to 18. The recommendation rate was 10.63% and 8.29% respectively.

The Cochran Firm holds second place by recommendation count on a much smaller answer base than the leader. Its mentions were mostly paired with an affirmative recommendation, a high ratio that rests on a modest number of answers and should be read with that qualification.

Most of its recommendations were shortlist placements, and none were recorded first-place. Wording was largely positive with a few neutral mentions. Its mention count fell while its recommendation count rose slightly between the two months, a mixed movement the samples do not explain.

Munley Law

Questions This Section Answers

• What do the November 2026 AI answer results show about Munley Law mentions, recommendations and placement?

Munley Law ranks 3 by recommendation count. Mentions: 11 (5.07%); recommendations: 9 (4.15%). Top 3 placements: 5 (2.30%); first-place placements: 1 (0.46%).

Wording about the company: 9 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 81.8%. The net framing score was 0.82 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, 55.56% were Top 3 and 11.11% were first-place.

From October 2026 to November 2026, Munley Law's mention count rose from 8 to 11, while its recommendation count rose from 6 to 9. The recommendation rate was 3.75% and 4.15% respectively.

Munley Law ranks third by recommendation count, with a small answer base relative to the leader. Most of its mentions carried a recommendation, and a portion of those were shortlist placements, with a single first-place result. The strong ratio rests on few mentions and warrants caution.

Wording was mostly positive with some neutral mentions and no negatives. Its mention and recommendation counts both rose from the prior month, but the separate monthly samples do not establish why.

Lubin & Meyer

Questions This Section Answers

• What do the November 2026 AI answer results show about Lubin & Meyer mentions, recommendations and placement?

Lubin & Meyer ranks 4 by recommendation count. Mentions: 6 (2.76%); recommendations: 4 (1.84%). Top 3 placements: 4 (1.84%); first-place placements: 2 (0.92%).

Wording about the company: 4 positive, 2 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 66.7%. The net framing score was 0.67 (defined in Methodology).

2 mentions had no recorded recommendation. Of recorded recommendations, 100.00% were Top 3 and 50.00% were first-place.

From October 2026 to November 2026, Lubin & Meyer's mention count rose from 3 to 6, while its recommendation count rose from 3 to 4. The recommendation rate was 1.88% and 1.84% respectively.

Lubin & Meyer shares fourth place by recommendation count on a very small base. Most of its mentions included a recommendation, and all recorded recommendations were shortlist placements, half of them first-place. That pattern is notable but rests on few answers, so it should not be read as a stable position.

Wording was mostly positive with some neutral mentions. Its mention and recommendation counts both rose slightly from the prior month, a movement the separate samples do not explain.

Miller & Zois

Questions This Section Answers

• What do the November 2026 AI answer results show about Miller & Zois mentions, recommendations and placement?

Miller & Zois ranks 4 by recommendation count. Mentions: 12 (5.53%); recommendations: 4 (1.84%). Top 3 placements: 3 (1.38%); first-place placements: 0 (0.00%).

Wording about the company: 4 positive, 8 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 33.3%. The net framing score was 0.33 (defined in Methodology).

8 mentions had no recorded recommendation. Of recorded recommendations, 75.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Miller & Zois' mention count rose from 1 to 12, while its recommendation count rose from 0 to 4. The recommendation rate was 0.00% and 1.84% respectively.

Miller & Zois shares fourth place by recommendation count despite a mention count larger than several higher-ranked peers. Only a minority of its mentions carried a recommendation, and neutral wording was more common than positive, distinguishing its profile from firms with tighter mention-to-recommendation alignment.

Most of its recommendations were shortlist placements, none first-place. Its mention and recommendation counts both rose from the prior month, but the separate samples do not establish why.

Gilman & Bedigian

Questions This Section Answers

• What do the November 2026 AI answer results show about Gilman & Bedigian mentions, recommendations and placement?

Gilman & Bedigian ranks 6 by recommendation count. Mentions: 1 (0.46%); recommendations: 1 (0.46%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 1 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was 100.0%. The net framing score was 1.00 (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, 0.00% were Top 3 and 0.00% were first-place.

From October 2026 to November 2026, Gilman & Bedigian's mention count rose from 0 to 1, while its recommendation count rose from 0 to 1. The recommendation rate was 0.00% and 0.46% respectively.

Gilman & Bedigian ranks sixth by recommendation count on a single recorded mention, which was also a recommendation. The resulting ratio is complete but rests on one answer, so it should be treated as an isolated observation rather than a stable pattern.

That mention carried positive wording, and no shortlist or first-place placement was recorded. Its mention and recommendation counts each moved from zero to one between the two months, a change the separate samples do not explain.

Lopez McHugh

Questions This Section Answers

• What do the November 2026 AI answer results show about Lopez McHugh mentions, recommendations and placement?

Lopez McHugh ranks 7 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Lopez McHugh's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Lopez McHugh recorded no mentions and no recommendations in the reviewed answers, so its placement counts are also zero. These are measured results rather than missing observations, and ratios requiring a nonzero base are undefined rather than zero.

Its counts stayed at zero across the two months. A zero result describes this answer set only and does not establish anything about the firm's standing or quality beyond these answers.

Newsome Melton

Questions This Section Answers

• What do the November 2026 AI answer results show about Newsome Melton mentions, recommendations and placement?

Newsome Melton ranks 7 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Newsome Melton's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Newsome Melton recorded no mentions and no recommendations in the reviewed answers, leaving its placement counts at zero as well. These are valid measured zeros, not absent data, and ratios that need a nonzero base remain undefined.

Its counts stayed at zero across the two months. The absence describes this selected answer set and should not be generalized to the firm's reputation or to answers outside this comparison.

Paulson & Nace

Questions This Section Answers

• What do the November 2026 AI answer results show about Paulson & Nace mentions, recommendations and placement?

Paulson & Nace ranks 7 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Paulson & Nace's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Paulson & Nace recorded no mentions and no recommendations in the reviewed answers, so its placement counts are likewise zero. These are measured results rather than gaps, and ratios requiring a nonzero base are undefined.

Its counts stayed at zero across the two months. A zero here describes only this answer set and does not establish anything about the firm's quality or its presence in other AI answers.

Pegalis Law Group

Questions This Section Answers

• What do the November 2026 AI answer results show about Pegalis Law Group mentions, recommendations and placement?

Pegalis Law Group ranks 7 by recommendation count. Mentions: 0 (0.00%); recommendations: 0 (0.00%). Top 3 placements: 0 (0.00%); first-place placements: 0 (0.00%).

Wording about the company: 0 positive, 0 neutral, 0 negative mentions. The proportion of mentions that also included a recommendation was Unavailable. The net framing score was Unavailable (defined in Methodology).

0 mentions had no recorded recommendation. Of recorded recommendations, Unavailable were Top 3 and Unavailable were first-place.

From October 2026 to November 2026, Pegalis Law Group's mention count stayed at 0, while its recommendation count stayed at 0. The recommendation rate was 0.00% and 0.00% respectively.

Pegalis Law Group recorded no mentions and no recommendations in the reviewed answers, with placement counts also at zero. These are valid measured zeros, not missing observations, and ratios needing a nonzero base are undefined.

Its counts stayed at zero across the two months. The result applies to this selected answer set and should not be read as a judgment about the firm or as evidence about answers outside this comparison.

Earlier ranking snapshot context

Questions This Section Answers

• How do the available Medical Malpractice Lawyers snapshots from July 2026 to November 2026 differ in recommendation coverage and measurement scope?

Only months with verified results are shown. Monthly sample coverage is listed in Methodology.

Each month is a separate sample of AI answers, and the number of included answers differs across months. Counts, rates and ranks should be read together, since a rate depends on the answer total and a rank depends on other firms' counts. A changed count or rate does not demonstrate improvement, loss of standing or a cause.

Smaller answer totals in earlier months do not explain why a company's counts or rates moved. The comparisons show recorded change only, and the differing samples limit any claim of stability or trend.

What the November Rankings Show

The November results answer several different questions. Reach asks whether a firm appeared at all; recommendation asks whether an answer affirmatively endorsed it; placement asks where it sat among endorsements; and framing describes the wording used. A firm can be widely mentioned yet rarely recommended, or recommended often on a small base.

Because placements nest inside recommendations and recommendations inside mentions, the measures should not be combined or treated as interchangeable. Framing is language, not sentiment or quality. The separate monthly samples show recorded change without explaining it, and the partial question coverage limits how far these findings extend.

Methodology

Questions This Section Answers

• How were the November 2026 Medical Malpractice Lawyers AI visibility measures counted, and what do they not establish?

This benchmark has partial coverage: 2 of 3 planned question categories contributed usable observations; 1 contributed none. This describes question-category coverage, not demonstrated platform outages. Findings apply to the available answer set.

The month in the title is the reporting period. The exact dates when the original AI answers were collected have not been verified.

Each company is counted at most once in each answer that meets the benchmark rules. A recommendation requires both an affirmative endorsement and positive wording. Mention, recommendation, Top 3 and first-place rates use the full benchmark answer total. Top 3 and first-place results are included within recommendations, not added to them.

The recommendation-to-mention ratio divides recommendations by mentions. It describes AI answer wording, not customer conversion. Net framing is positive minus negative mentions, divided by all mentions, on a scale from -1 to +1. It does not measure customer satisfaction or company quality.

Market: US; 10 tracked companies. AI services represented: ChatGPT, Copilot, Gemini, Google AI Mode, Google AI Overviews, Perplexity.

Research screening totals (answer observations can include repeated questions):

The source does not provide a reader-facing definition of “reserved”; that screening label is reported without inferring a reason for exclusion. Only the included benchmark answers form the rate denominator.

One answer can mention or recommend several companies. Adding company totals would therefore count some answers more than once. The results describe the AI answers reviewed, not independently verified facts about the companies or their products.

Monthly sample coverage:

The answer samples differ between months. These comparisons show how the recorded results changed; they do not establish why they changed.

This benchmark covers a partial set of planned question categories, so findings apply to the available answers rather than a complete picture. The reporting month labels the period, but exact collection dates were not verified. Each company is counted at most once per qualifying answer, and placements are included within recommendations rather than added to them.

Recommendation-to-mention ratios and net framing describe answer wording, not customer conversion, satisfaction or company quality. One answer can name several companies, so company totals overlap. Monthly samples differ in size, and comparisons show recorded change without establishing why it occurred.