Subcategory · AI Citation Index

AI Legal Assistant

The AI legal assistant category demonstrates mature product-market fit with two consensus leaders achieving notable shortlist rates while maintaining maximum model diversity (4), indicating these tools successfully abstract legal workflows across multiple LLM backends. Harvey's 30% shortlist rate positions it as the category frontrunner, likely reflecting its specialized legal research and drafting capabilities, while Ironclad's 22% rate suggests strong traction in contract lifecycle management. The identical model diversity scores reveal a strategic imperative: legal AI must remain LLM-agnostic to serve risk-averse legal teams requiring vendor optionality and the ability to leverage best-in-class models for different legal tasks.

83 discovery queries · 3 head-to-heads · refreshed May 11, 2026

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Signal by intent

By topic

Top 5 most-cited brands per intent cluster. Brands with zero citations in a topic are not shown.

1Spellbook
5/5
2Luminance
5/5
3Ironclad
5/5
4LinkSquares
5/5
5Harvey
4/5
1Westlaw
5/5
2Lexisnexis
5/5
3Harvey
5/5
4Practice
5/5
5CLEAR
5/5
1Harvey
5/5
2Spellbook
5/5
3Ironclad
5/5
4Lexisnexis
4/5
5Practice
4/5
1Litera
5/5
2Harvey
5/5
3Luminance
5/5
4Spellbook
4/5
5Practice
3/5
1Ironclad
4/5
2Harvey
4/5
3LinkSquares
3/5
4Wolters Kluwer
3/5
5Practice
2/5
≥50% cited
25–49%
<25%
Topics are discovery-stage prompt clusters · ai-legal-assistant

Citation sources

Where AI pulls citations from

708 citations captured across AI Legal Assistant prompt runs.

Vendor pages

249

Product, help, and marketing pages from tracked vendors

Independent sources

272

Reviews, encyclopedias, forums, press — not vendor-owned

Buyer questions

What AI cites for top AI Legal Assistant questions

Most-cited prompts across the buyer journey. Click any prompt to see the actual URLs AI engines link to.

Discovery

Buyers exploring the category

Evaluation

Buyers comparing options

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