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Legal practice management software, measured across four AI engines

Broadcastwell publishes this measurement and provides AI search visibility services; it is not a vendor in this software category. The vendor whose position prompted the sweep remains private, and every competitor returned by the engines is reported as returned.

answers scored across four engines
of them named the anonymised vendor
answers named a product identity retired in 2023
answers named that vendor's current brand

Thirty-nine answers, four engines, one legal practice management question set. Seven vendors appeared regularly and the spread between them is narrower than in most categories we have measured.

Data table: Vendor, Answers naming it
VendorAnswers naming it
Clio31
MyCase24
PracticePanther22
Smokeball19
Filevine15
CosmoLex13
Rocket Matter6

Clio took 31 of 39. Five other vendors were named in a third or more of all answers.

In our own agency category five firms shared 19 namings across 120 open questions. Here seven vendors share 130 namings across 39 answers. These aggregate counts do not establish how many names appeared in most answers or the likelihood of another vendor being included.

The most useful single finding in this sweep is not a ranking. ChatGPT named a product identity that the anonymised vendor retired in 2023 five times, and named the vendor's current brand zero times.

Data table: What ChatGPT named, Times
What ChatGPT namedTimes
A product identity the vendor retired in 20235
The vendor's current brand0

The observed answers used the retired identity; this sweep did not establish the cause.

The answers used a name retired three years earlier. In those five answers the current brand was absent. This is an observed identity mismatch, not evidence of a lost deal or a buyer conversation.

The sweep records the returned identity. It does not isolate the reason the engine used it. Public documentation, comparison articles and directory listings are places to check for conflicting identities, but this study did not test their causal effect.

The next step is to review how public sources connect the retired identity to the current brand. The observed mismatch identifies a question to investigate; it does not establish a remedy.

Potential corrections include product documentation, a migration or naming note, comparison pages using the current brand, and answers to the operational questions buyers ask. These are editorial recommendations. A later measurement would be needed to establish whether the returned identity changed.

We publish the method we use for measuring this at github.com/Broadcastwell/audit-method so a vendor can run it without hiring anyone, and the measurement framework on the visibility methodology page.

This sweep returned several vendor names across the 39 answers. Check both whether a vendor was named and whether the returned identity was current.

Being named three times out of 39 in a list this crowded is a different problem from being named zero times in a concentrated one. The material exists, buyers are asking, competitors are being described in detail, and the vendor is absent from the description rather than absent from the market. Publishing answers to the relevant buyer questions is a proposed next step. This sweep did not compare that work with brand spend or measure its effect.

What we ran. A 39-answer sweep of legal practice management software across four engines, Claude, ChatGPT, Perplexity and Google AI Overviews, one run per prompt, in 2026. Measured under method v1.0. Current engagements run under method v1.1, described on the methodology page.
What we counted. An answer counts once for a vendor it names, regardless of position or sentiment. The retired product identity was counted separately from the current brand rather than merged into it.
What this does not prove. Thirty-nine answers is a small sample and one sweep is one window. Nothing here measures product quality, trust accounting accuracy, support, price or market share. A vendor named three times may be the right choice for a given firm and simply under-described in retrievable material.
Who is anonymised and why. The vendor whose position prompted this sweep is a commercial conversation still in progress, so it is described by position rather than name, and its retired product identity is described rather than named for the same reason. Every competitor the engines returned is named as returned.
Commercial disclosure. Broadcastwell publishes this page and provides the services described here. Research findings, editorial analysis and commercial claims are clearly separated.

Which legal practice management vendors do AI engines name most often?

Across 39 answers from four engines, Clio was named 31 times, MyCase 24, PracticePanther 22, Smokeball 19, Filevine 15, CosmoLex 13 and Rocket Matter 6. The anonymised vendor whose position prompted the sweep was named 3 times.

Can an AI engine name a product that no longer exists?

Yes. In this sweep ChatGPT named a product identity that one vendor retired in 2023 five times, and named that vendor's current brand zero times. The engine was answering from material that predates the rename, which is a retrieval problem the vendor can fix by publishing material that connects the two names.

What did this sweep show about the retired product identity?

ChatGPT returned the retired product identity five times and the current brand zero times in this sweep. The measurement does not establish why that happened. Reviewing the public material that connects the old and current identities is a proposed next step, not a tested remedy.

Is Broadcastwell one of the vendors compared here?

Broadcastwell publishes this research and provides AI search visibility services; it is not a vendor in this software category. Dated research, editorial analysis and commercial claims are presented separately.

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Every figure comes from the published method, v1.1.