Mayer Brown Ranks #19 in Law Firms Citation Share Audit 2026

Part of the The Law Firms Citation Share Audit 2026 index.

Mayer Brown ranks #19 in The Law Firms Citation Share Audit 2026, the Everything-PR study of how BigLaw firms surface across AI answer engines, with a Citation Share score of 1.9. The firm sits between WilmerHale at #17 (2.4) and Morgan, Lewis & Bockius at #20 (1.6) in a field of 25 US law firms. Its strongest category in the audit is banking and structured finance.

What The Law Firms Citation Share Audit 2026 Measures

The Law Firms Citation Share Audit 2026 modeled five AI engines: ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Everything-PR ran more than 80 high-intent legal prompts spanning ten BigLaw practice areas: M&A, restructuring, IP litigation, white-collar defense, securities enforcement, antitrust, private equity, capital markets, real estate, and labor & employment. Twenty-five US law firms were scored with equal weighting across the engines. The composite Citation Share score weights five dimensions: citation frequency, cross-engine breadth, query-type breadth, extractability, and crawl access.

Why Mayer Brown Ranks #19

Mayer Brown's #19 position, with a score of 1.9, places it in the lower-middle band of the 25 firms scored in the audit. The audit identifies banking and structured finance as Mayer Brown's strongest category, meaning its citation share concentrates in that practice area rather than spreading evenly across the ten BigLaw categories the study measured.

The index notes that Citation Share rewards firms that appear across multiple buyer-intent surfaces, not firms that dominate a single category. A concentration in banking and structured finance is consistent with a score in Mayer Brown's band rather than the higher scores held by firms cited across many practice areas. For comparison, Kirkland & Ellis leads the audit at #1 with 14.8, and Wachtell, Lipton, Rosen & Katz ranks #2 with 11.2.

According to the index, named-deal density is the dominant citation driver: firms that get named in M&A, restructuring, capital markets, and litigation press at consistent cadence compound citation share through the work itself. That mechanism connects a firm's transactional footprint directly to how often AI engines cite it.

How Extractability and Crawl Access Shape the Score

Two of the audit's five dimensions, extractability and crawl access, turn on whether AI engines can reach and parse a firm's content. The index highlights the paywall as a recurring constraint: content behind Westlaw, LexisNexis, Bloomberg Law's paywall, or law-firm-client-portal infrastructure is invisible to AI engines. The index describes Westlaw and LexisNexis as functionally invisible to AI engines because they are paywalled, making the institutional knowledge layer of American legal practice dark for AI retrieval purposes.

The index also notes that Cornell LII outranks LexisNexis in AI legal answers because AI engines retrieve free, structured, crawlable content regardless of authority or institutional weight. For a firm like Mayer Brown, whose corporate site publishes insights, client stories, and firm news, these dimensions reward openly crawlable material over gated content.

Where Mayer Brown Sits in the Broader BigLaw Story

The index calls out two patterns that illuminate Mayer Brown's position. First, partner-level coverage compounds at the firm level: a firm with twenty partners holding sustained press footprints produces meaningfully higher citation share than a firm with two partners holding equivalent footprints. Second, Above the Law has overtaken Chambers as the dominant retrieval anchor because it publishes daily versus Chambers' annual ranking cycle. Both patterns point to cadence and breadth of press presence as inputs into where a firm lands in the ranking.

The index further notes that Wikipedia entity discipline matters: firms with stale, contested, or incomplete Wikipedia entries cede citation share to competitors with cleaner entity coverage. Together these patterns describe the surfaces that separate the higher-scoring firms from those in Mayer Brown's band.

On its own site, Mayer Brown describes itself as an international law firm positioned to represent the world's major corporations, funds and financial institutions in their most important and complex transactions and disputes. Its recent firm news covers a US-UK digital and capital markets taskforce, national bank charter applications, and an SEC semiannual reporting proposal, all dated July 17, 2026.

Mayer Brown's #19 rank and 1.9 score reflect a citation footprint concentrated in banking and structured finance within a field led by Kirkland & Ellis at 14.8. As AI answer engines become a primary discovery layer for legal buyers, the audit's dimensions, citation frequency, cross-engine breadth, query-type breadth, extractability, and crawl access, define where firms like Mayer Brown can build in future refreshes.

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