Data as of Aug 25, 2026 · Based on 1,166 AI responses · See how Parse measures this
AI Contract Review & Extraction Software
Parse
https://parse.gl
Spellbook has surged to the top of the AI contract review niche, consistently recommended as a drafting and redlining assistant inside Word. This rapid ascent from relative obscurity reflects a broader market trend where specialized, workflow-integrated tools are gaining significant traction over early generalized platforms.
| # | Brand | What AI says | Mention rate |
|---|---|---|---|
| 1 | Enterprise CLM with AI for playbook-driven redlining and metadata extraction. | 35% | |
| 2 | AI copilot for redlining and drafting directly within | 30% | |
| 3 | Praised for attorney-built playbooks and 'Day 1 ready' accuracy for contract review. | 22% | |
| 4 | AI-powered CLM focused on post-signature contract analysis and risk scoring. | 22% | |
| 5 | Recognized for accurate extraction and risk scoring, especially for supplier contracts. | 20% | |
| 6 | 19% | ||
| 7 | AI-native CLM focused on bulk ingestion and analysis of legacy contracts. | 19% | |
| 8 | 16% | ||
| 9 | 16% | ||
| 10 | E-signature leader, now frequently cited for its integrated AI clause analysis. | 15% | |
| 11 | 15% | ||
| 12 | Word-integrated tool for risk-flagging and playbook-based redlining. | 14% | |
| 13 | 14% | ||
| 14 | 13% | ||
| 15 | 12% | ||
| 16 | 10% | ||
| 17 | 9% | ||
| 18 | 8% | ||
| 19 | 8% | ||
| 20 | 8% | ||
| 21 | 7% | ||
| 22 | 7% | ||
| 23 | 7% | ||
| 24 | 6% | ||
| 25 | 6% |
Who wins on each AI
The same market, seen by two models.
Sources AI cited
spellbook.legal is the page AI reaches for most here, cited in 33% of analyzed answers.
Jumped from rank #44 in Oct 2025 to #1 by Mar 2026.
Dropped from #1 mention rank in Oct 2025 to #3 by Mar 2026.
Became the dominant recommendation for integrated signing tools since Dec 2025.
“Primarily an e-signature platform.” → “An 'Intelligent Agreement Management' suite with integrated AI for contract analysis.”
| Brand | ChatGPT Search | Google AI Mode | Comparison |
|---|---|---|---|
| 63% | 26% | ||
| 0% | 43% | ||
| 30% | 32% | ||
| 32% | 10% | ||
| 15% | 23% |
The two models disagree most about Harvey (ChatGPT #4, Google #24) and Luminance (ChatGPT #2, Google #14).
Spellbook has surged to the top of the AI contract review niche, consistently recommended as a drafting and redlining assistant inside Microsoft Word. This rapid ascent from relative obscurity reflects a broader market trend where specialized, workflow-integrated tools are gaining significant traction over early generalized platforms.
Across 1,166 AI responses, Ironclad is mentioned most, named in 35% of them, followed by Spellbook (30%) and LegalOnTech (22%).
Parse measures each brand's mention rate — the share of answers naming it — across 1,166 AI responses to this market's buyer questions. Answers are collected daily and the ranking is published weekly.
Brands enter the ranking when AI answers mention them. Parse collects answers daily and publishes the re-measured set weekly, so new brands appear as AI starts recommending them.
Spellbook surged to become the top recommendation for speeding up redlining, frequently cited alongside
LegalSifter and
LegalOnTech. ChatGPT responses, in particular, consistently highlighted these tools for their integration with
Microsoft Word and their ability to apply company playbooks, evolving from broader recommendations in late 2025 to this focused set by early 2026.
Brands mentioned
Spellbook surged to become the top recommendation for speeding up redlining, frequently cited alongside
LegalSifter and
LegalOnTech. ChatGPT responses, in particular, consistently highlighted these tools for their integration with Word and their ability to apply company playbooks, evolving from broader recommendations in late 2025 to this focused set by early 2026.
LegalSifter has been the most consistent recommendation for this use case, frequently praised for its ability to flag risks based on playbooks. Starting in early 2026,
goHeather also emerged as a strong and frequent contender, with AI models highlighting its lawyer-trained system for spotting issues and explaining risks clearly.
Brands mentioned
I want a legal contract reviewer that flags risk levels and does not give legal advice.
LegalSifter has been the most consistent recommendation for this use case, frequently praised for its ability to flag risks based on playbooks. Starting in early 2026,
goHeather also emerged as a strong and frequent contender, with AI models highlighting its lawyer-trained system for spotting issues and explaining risks clearly.
The market map
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