Finance AI Index
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Entity management · September 2026 Edition

Athennian vs EntityKeeper

Four of twelve models named Athennian first on the direct prompt; zero named EntityKeeper. Athennian was named by twelve of the twelve models and EntityKeeper by eleven and Athennian carries 39 labels and EntityKeeper 31, so the shares are not directly comparable.

Athennian

accepted challenger

Named in one category this edition.

EntityKeeper

accepted challenger

Named in one category this edition.

First-choice share18%16%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate15%3%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#2A position in a field of 12; printed, not drawn.
Labels3931A 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.Diligent Entities was named alongside these two in eight of the twelve direct answers. Athennian vs Commenda · EntityKeeper vs Commenda

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.
AthennianFirst choices, of twelve modelsEntityKeeper
Direct40
Paraphrase321 against Athennian
Comparative50
Budget-constrained044 against Athennian
Scale-constrained00
Negative101 against Athennian · 1 against EntityKeeper
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.

The direct prompt

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

Athennian first, EntityKeeper an alternative

4 of 12 modelsEntityKeeper was named in the answer but not as the choice, or not at all.
Gemini 3.5 FlashAthennian alternatives: EntityKeeper, Filejet, MinuteBox
Grok 4.1 FastAthennian alternatives: Carta, Diligent Entities, Pulley
DeepSeek V4 FlashAthennian alternatives: CSC Entity Management, CT Corporation Entity Management, Commenda, Diligent Entities, EntityKeeper
GLM 4.7 FlashXAthennian alternatives: CSC Entity Management, Commenda, Diligent Entities, EntityKeeper

Neither was the first choice, one was named

3 of 12 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Commenda alternatives: Athennian, CT Corporation Entity Management, Diligent Entities
Kimi K2Filejet alternatives: Athennian, Commenda, Diligent Entities
MiniMax M2.5Commenda alternatives: Athennian, Diligent Entities, GateWay Entities

Neither was named

5 of 12 modelsThe answer made no first choice from these two in this category.
GPT-5.4 miniDiligent Entities alternatives: Harbor Compliance
Perplexity SonarCommenda alternatives: Computershare GEMS, Fides
Mistral SmallContractZen alternatives: Commenda, GateWay Entities
Llama 4 MaverickOcorian alternatives: Coverpin, F6S
Qwen 3.7 FlashCommenda alternatives: Diligent Entities, LegalX

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
EntityKeeper leads by twenty-five points.
EntityKeeper25%#1 of 12
Athennian0%#10 of 12
The full small business standing →
Mid-marketThe figures above
The order flips: Athennian leads at mid-market.
Athennian18%#1 of 12
EntityKeeper16%#2 of 12
The full mid-market standing →
Enterprise
Athennian leads by seventeen points.
Athennian20%#2 of 8
EntityKeeper2%#6 of 8
The full enterprise standing →

What 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” Grok 4.1 Fast · budget prompt · hard negative
“Avoid enterprise platforms like Diligent Entities or Athennian if budget-constrained” DeepSeek V4 Flash · budget prompt · hard negative
“"Priced for firms, not micro teams" and "doesn't have flexibility to add complex codes and logic"” DeepSeek V4 Flash · negative prompt · soft negative
“Athennian (Best Overall for Legal & Finance Collaboration) ... widely considered the gold standard for modern, cloud-native entity management” Gemini 3.5 Flash · paraphrase prompt · first choice
“Best Overall for Mid‑Market B2B: Athennian—AI‑powered, highly rated, and flexible for complex entity structures.” GLM 4.7 FlashX · direct prompt · first choice
“For most mid-market B2B companies, Athennian is widely recommended as the strongest fit for in-house legal teams” DeepSeek V4 Flash · direct prompt · first choice

What the models said about EntityKeeper

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

“user reviews on Reddit specifically call out its "limited integration capabilities."” DeepSeek V4 Flash · negative prompt · soft negative
“For most small companies, EntityKeeper or Filejet are the best starting points due to their low cost” Mistral Small · budget prompt · first choice
“EntityKeeper stands out as the most budget-aligned option because it is described as affordable” Perplexity Sonar · budget prompt · first choice
“For a typical mid-sized B2B company, I'd recommend starting with EntityKeeper” Kimi K2 · paraphrase prompt · first choice
Also compared
Athennian vs CommendaEntityKeeper vs CommendaThe full entity management standing

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