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Index › Revenue operations › CLM › PandaDoc vs Conga CLM
Contract lifecycle management and e-signature · October 2026 Edition

PandaDoc vs Conga CLM

Zero of fourteen models named PandaDoc first on the direct prompt; zero named Conga CLM. Both were named by all fourteen models and PandaDoc carries 35 labels and Conga CLM 33, so the shares are not directly comparable.

PandaDoc

accepted challenger

South San Francisco, United States, founded 2013. Named in seven categories this edition.

Conga CLM

criticized challenger

Named in one category this edition.

First-choice share23%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate6%30%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#8A position in a field of 15; printed, not drawn.
Labels3533A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, PandaDoc reading right to left. Rank and label count are printed, not drawn.Ironclad was named alongside these two in eleven of the fourteen direct answers. PandaDoc vs Concord · PandaDoc vs Juro · PandaDoc vs Ironclad

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

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
PandaDocFirst choices, of fourteen modelsConga CLM
Direct001 against Conga CLM
Paraphrase90
Comparative00
Budget-constrained30
Scale-constrained011 against PandaDoc
Negative001 against PandaDoc · 9 against Conga CLM
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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where PandaDoc and Conga CLM 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
GPT-6 Luna
Muse Glimmer 30B
PandaDoc Conga CLM first choice named as an alternative argued againstblank: not namedEach cell is one answer, PandaDoc on the left and Conga CLM on the right.

The direct prompt

The plain question, one answer per model, grouped by where PandaDoc and Conga CLM stood in it.

Neither was the first choice, one was named

7 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniIronclad alternatives: Conga CLM, DocuSign CLM
Mistral SmallConcord alternatives: Conga CLM, Ironclad
DeepSeek V4 FlashJuro alternatives: Concord, DocuSign CLM, LinkSquares, PandaDoc
Llama 4 MaverickJuro alternatives: Conga CLM, Oneflow
Qwen 3.7 FlashJuro alternatives: Ironclad, PandaDoc
GLM 4.7 FlashXJuro alternatives: Concord, PandaDoc
MiniMax M2.5Concord, Ironclad, Juro alternatives: DocuSign CLM, PandaDoc

Neither was named

7 of 14 modelsThe answer made no first choice from these two in this category.
Claude Haiku 4.5Concord alternatives: Ironclad, LinkSquares
Gemini 3.5 FlashIronclad alternatives: Gatekeeper, Juro, LinkSquares
Perplexity SonarJuro alternatives: Ironclad, Oneflow
Grok 4.1 FastIronclad alternatives: Concord, Juro
Kimi K2DocuSign CLM alternatives: Concord, Ironclad, LinkSquares
GPT-6 LunaJuro alternatives: Ironclad, LinkSquares, SpotDraft
Muse Glimmer 30BIronclad alternatives: Agiloft, Concord

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
PandaDoc leads by forty-three points.
PandaDoc43%#1 of 14
Conga CLM0%#– of 14
The full small business standing →
Mid-marketThe figures above
PandaDoc leads by twenty-one points.
PandaDoc23%#1 of 15
Conga CLM2%#8 of 15
The full mid-market standing →
Enterprise
The order flips: Conga CLM leads at enterprise.
Conga CLM2%#9 of 14
PandaDoc0%#– of 14
The full enterprise standing →

What the models said about PandaDoc

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

“For a mid-sized B2B with a sales-driven motion and wants proposals + signatures in one place with CRM integration: PandaDoc or Oneflow.” Muse Glimmer 30B · paraphrase prompt · first choice

What the models said about Conga CLM

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

“Customer reviews show high levels of dissatisfaction with feature usability, interface design and overall scalability” Claude Haiku 4.5 · negative prompt · hard negative
“Conga is among the most frequently criticized major CLM platforms... The biggest cautions are around Conga CLM” DeepSeek V4 Flash · negative prompt · hard negative
“generally avoid buying "Heavy Enterprise" platforms like Icertis or Conga” Qwen 3.7 Flash · negative prompt · hard negative
“Ironclad/Conga: Workflow-first, Salesforce-heavy, great for sales/legal speed.” Grok 4.1 Fast · scale prompt · first choice
“For teams already in the Salesforce ecosystem or requiring enterprise-grade features, Conga CLM is a strong contender.” Mistral Small · direct prompt · alternative
“a comprehensive CLM solution that helps design and streamline the entire contract lifecycle management process” Llama 4 Maverick · direct prompt · alternative
Also compared

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.