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Entity management · September 2026 Edition

MinuteBox vs Diligent

Zero of twelve models named MinuteBox first on the direct prompt; zero named Diligent. MinuteBox was named by seven of the twelve models and Diligent by eight and MinuteBox carries 13 labels and Diligent 11, so the shares are not directly comparable.

MinuteBox

accepted challenger

Named in one category this edition.

Diligent

criticized challenger

Named in two categories this edition.

First-choice share3%3%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%64%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#7#8A position in a field of 12; printed, not drawn.
Labels1311A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, MinuteBox reading right to left. Rank and label count are printed, not drawn.Diligent Entities was named alongside these two in eight of the twelve direct answers. Athennian vs MinuteBox · Athennian vs Diligent · EntityKeeper vs MinuteBox

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all twelve models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the entity management page.

By framing

How many of the twelve models made each the first choice, per way of asking, and how many argued against it.
MinuteBoxFirst choices, of twelve modelsDiligent
Direct00
Paraphrase014 against Diligent
Comparative00
Budget-constrained101 against Diligent
Scale-constrained001 against Diligent
Negative001 against Diligent
Bars are first choices, 0 to 12 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to twelve.

Every model, every framing

The seventy-two answers behind the chart above, one cell each: where MinuteBox and Diligent stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.1 Fast
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
MinuteBox Diligent first choice named as an alternative argued againstblank: not namedEach cell is one answer, MinuteBox on the left and Diligent on the right.

The direct prompt

The plain question, one answer per model, grouped by where MinuteBox and Diligent stood in it.

Neither was the first choice, one was named

1 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Gemini 3.5 FlashAthennian alternatives: EntityKeeper, Filejet, MinuteBox

Neither was named

11 of 12 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Commenda alternatives: Athennian, CT Corporation Entity Management, Diligent Entities
GPT-5.4 miniDiligent Entities alternatives: Harbor Compliance
Perplexity SonarCommenda alternatives: Computershare GEMS, Fides
Grok 4.1 FastAthennian alternatives: Carta, Diligent Entities, Pulley
Mistral SmallContractZen alternatives: Commenda, GateWay Entities
DeepSeek V4 FlashAthennian alternatives: CSC Entity Management, CT Corporation Entity Management, Commenda, Diligent Entities, EntityKeeper
Llama 4 MaverickOcorian alternatives: Coverpin, F6S
Qwen 3.7 FlashCommenda alternatives: Diligent Entities, LegalX
Kimi K2Filejet alternatives: Athennian, Commenda, Diligent Entities
GLM 4.7 FlashXAthennian alternatives: CSC Entity Management, Commenda, Diligent Entities, EntityKeeper
MiniMax M2.5Commenda alternatives: Athennian, Diligent Entities, GateWay Entities

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
MinuteBox leads by fourteen points.
MinuteBox14%#3 of 12
Diligent0%#12 of 12
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
MinuteBox3%#7 of 12
Diligent3%#8 of 12
The full mid-market standing →
Enterprise
The order flips: Diligent leads at enterprise.
Diligent9%#– of 8
MinuteBox0%#7 of 8
The full enterprise standing →

What the models said about MinuteBox

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.

“MinuteBox (best overall value)” DeepSeek V4 Flash · budget prompt · first choice
“Modular (board portal, data room, e-filings); AI-powered; handles 150+ countries” Grok 4.1 Fast · comparative prompt · alternative
“Smaller corporate secretarial teams: Corporify, MinuteBox, or EntityKeeper” DeepSeek V4 Flash · comparative prompt · alternative

What the models said about Diligent

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of three in this category shown.

“Legacy Systems (e.g., Diligent, CSC Entity Management): Often highly robust ... but can feel clunky, require heavy training, have longer implementation times, and carry higher price tags.” Gemini 3.5 Flash · scale prompt · soft negative
“Many legacy systems (like Diligent, Mitratech, or CSC) are designed for large multinationals, hide their pricing ... often start at tens of thousands of dollars per year.” Gemini 3.5 Flash · budget prompt · soft negative
“## Top Recommendation: Diligent” GLM 4.7 FlashX · paraphrase prompt · first choice
Also compared
Athennian vs MinuteBoxAthennian vs DiligentEntityKeeper vs MinuteBoxEntityKeeper vs DiligentCommenda vs MinuteBoxCommenda vs DiligentContractZen vs MinuteBoxContractZen vs DiligentFilejet vs MinuteBoxFilejet vs DiligentDiligent Entities vs MinuteBoxDiligent Entities vs DiligentAll twenty-eight head-to-head pages and the full entity management standing

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.