Entity management · October 2026 Edition
Athennian vs Diligent Entities
Ten of fourteen models named Athennian first on the direct prompt; three named Diligent Entities. Both were named by all fourteen models and Athennian carries 57 labels and Diligent Entities 56, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
First-choice share41%8%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate18%46%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 11; printed, not drawn.
Labels5756A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Athennian reading right to left. Rank and label count are printed, not drawn.Athennian vs ContractZen · Athennian vs EntityKeeper · Athennian vs Filejet
Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen 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 fourteen models made each the first choice, per way of asking, and how many argued against it.
AthennianFirst choices, of fourteen modelsDiligent Entities
Direct1036 against Diligent Entities
Paraphrase815 against Diligent Entities
Comparative33
Budget-constrained004 against Athennian · 7 against Diligent Entities
Scale-constrained20
Negative116 against Athennian · 8 against Diligent Entities
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.
Across every category in the October 2026 Edition, Athennian and Diligent Entities were named in the same answer 124 times, of the 151 answers naming Athennian and the 156 naming Diligent Entities. In those answers Diligent Entities took the first choice twenty-four times and Athennian twenty-eight.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Athennian and Diligent Entities stood in it.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | | | ||
| GPT-6 Luna | | | | |||
| Muse Glimmer 30B | | | | |
Athennian Diligent Entities first choice named as an alternative argued againstblank: not namedEach cell is one answer, Athennian on the left and Diligent Entities on the right.The direct prompt
The plain question, one answer per model, grouped by where Athennian and Diligent Entities stood in it.
Both were the first choice
1 of 14 modelsThe answer named them together, and the judge labeled each a first choice.MiniMax M2.5Athennian, Diligent Entities alternatives: Eqvista, Harbor Compliance
Athennian first, Diligent Entities an alternative
9 of 14 modelsDiligent Entities was named in the answer but not as the choice, or not at all.Claude Haiku 4.5Athennian, Commenda alternatives: Klea
Gemini 3.5 FlashAthennian alternatives: ContractZen, Diliforce, EntityKeeper, MinuteBox
Grok 4.1 FastAthennian alternatives: Commenda, EntityKeeper, Filejet
Mistral SmallAthennian, Filejet alternatives: Commenda, Diligent Entities, Discern
DeepSeek V4 FlashAthennian alternatives: Commenda, EntityKeeper, Filejet
Kimi K2Athennian alternatives: Filejet, NEWTON
GLM 4.7 FlashXAthennian alternatives: Diligent Entities, EntityKeeper, Filejet
GPT-6 LunaAthennian alternatives: CSC Entity Management, EntityKeeper
Muse Glimmer 30BAthennian alternatives: CSC Entity Management, CT Corporation Entity Management, Commenda, Discern
Diligent Entities first, Athennian an alternative
2 of 14 modelsAthennian was named in the answer but not as the choice, or not at all.GPT-5.4 miniDiligent Entities alternatives: Athennian, CSC Entity Management
Perplexity SonarDiligent Entities alternatives: Commenda, GateWay Entities
Neither was named
2 of 14 modelsThe answer made no first choice from these two in this category.Llama 4 MaverickCommenda, ContractZen alternatives: NEWTON
Qwen 3.7 FlashLegally alternatives: Diligent Boards, Docuum, Onspring
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
Athennian leads by two points.
Athennian2%#5 of 8Diligent Entities0%#8 of 8Mid-marketThe figures above
Athennian leads by thirty-three points.
Athennian41%#1 of 11Diligent Entities8%#3 of 11Enterprise
The order flips: Diligent Entities leads at enterprise.
Diligent Entities50%#1 of 9Athennian18%#2 of 9What the models said about Athennian
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“"Avoid Enterprise Tools: Athennian, Diligent Entities, etc., start at $15K+/year—overkill and too pricey"” Muse Glimmer 30B · negative prompt · hard negative
“Avoid enterprise platforms (Athennian ~$25K+/yr, Diligent from ~$10K/yr)” DeepSeek V4 Flash · budget prompt · hard negative
“noted as an enterprise\u2011tier tool with pricing that can reach $15,000\u2013$50,000 per year\u2014potentially overkill for smaller organizations” GLM 4.7 FlashX · negative prompt · soft negative
“Athennian — Strong for complex corporate structures, transactional entity work, AI-assisted data management, SOC 2 certified, published pricing” DeepSeek V4 Flash · scale prompt · first choice
“Athennian is noted for rapid implementation timelines and its ability to use AI to surface insights and automate routine compliance tasks” GLM 4.7 FlashX · comparative prompt · first choice
“Choose Athennian or MinuteBox if you are an in-house legal operations team or law firm looking to modernise workflows” Gemini 3.5 Flash · comparative prompt · first choice
What the models said about Diligent Entities
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“What to Avoid: Diligent Entities — While powerful, it's typically over-engineered and overpriced for mid-market” Kimi K2 · paraphrase prompt · hard negative
“"What to Avoid: Diligent Entities and similar enterprise solutions - typically start at $15,000-$50,000/year"” Muse Glimmer 30B · negative prompt · hard negative
“Avoid pricier options like Diligent Entities or CSC (enterprise-level, $100s+ per entity/month)” Grok 4.1 Fast · budget prompt · hard negative
“Best for: Large enterprises... Market-leading security protocols... 150+ entities or complex global structures: Diligent Entities or CSC provide enterprise-grade capabilities” Kimi K2 · comparative prompt · first choice
“If you're a large multinational with 150+ entities across many jurisdictions → Diligent Entities or CSC provide the deepest enterprise governance” DeepSeek V4 Flash · comparative prompt · first choice
“Diligent Entities and CSC Entity Management are frequently recommended due to their scalability” Mistral Small · paraphrase prompt · first choice
Also compared
Athennian vs ContractZenAthennian vs EntityKeeperAthennian vs FilejetAthennian vs CommendaAthennian vs MinuteBoxAthennian vs DiscernContractZen vs Diligent EntitiesDiligent Entities vs EntityKeeperDiligent Entities vs FilejetDiligent Entities vs CommendaDiligent Entities vs MinuteBoxDiligent Entities vs DiscernAll 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.