Concord vs DocuSign
Three of fourteen models named Concord first on the direct prompt; zero named DocuSign. Concord was named by thirteen of the fourteen models and DocuSign by eleven and Concord carries 35 labels and DocuSign 15, so the shares are not directly comparable.
Austin, founded 2014. Named in one category this edition.
San Francisco, United States, founded 2003. Named in three categories this edition.
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 contract lifecycle management and e-signature page.
By framing
ConcordFirst choices, of fourteen modelsDocuSign
Across every category in the October 2026 Edition, Concord and DocuSign were named in the same answer eighteen times, of the 90 answers naming Concord and the 63 naming DocuSign. In those answers DocuSign took the first choice three times and Concord four.
Every model, every framing
| 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 | | | | | |
Concord DocuSign first choice named as an alternative argued againstblank: not namedEach cell is one answer, Concord on the left and DocuSign on the right.The direct prompt
Concord first, DocuSign not the choice
3 of 14 modelsDocuSign was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.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
Concord25%#2 of 14DocuSign4%#7 of 14Concord19%#2 of 15DocuSign2%#7 of 15DocuSign7%#5 of 14Concord2%#10 of 14What the models said about Concord
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“"The very small team (~22 employees) raises questions about support and migration capacity"” Muse Glimmer 30B · negative prompt · soft negative
“The best contract lifecycle management platform for a company with a limited budget is Concord, which has an entry tier priced at $499.” Llama 4 Maverick · budget prompt · first choice
“If you have 3–5 people and want simplicity: Concord ($499/month flat) is hard to beat for predictable costs and true CLM features.” Kimi K2 · budget prompt · first choice
“For a balance of affordability, ease of use, and mid-market focus, Concord is often the top recommendation.” Mistral Small · direct prompt · first choice
What the models said about DocuSign
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of four in this category shown.
“it tends to be less budget-friendly as you move into more CLM-focused features” GPT-5.4 mini · budget prompt · soft negative
“my default recommendation would be DocuSign” GPT-5.4 mini · paraphrase prompt · first choice
“Choose this if you have a dedicated Legal or Compliance team and require strict governance... Note: This can get significantly more expensive than PandaDoc.” Qwen 3.7 Flash · paraphrase prompt · alternative
“Best for Compliance-Heavy Industries ... Watch out: Can get expensive at mid-market scale” DeepSeek V4 Flash · paraphrase prompt · alternative
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.