Legal9 companies
9 companies, 9 swept. The median identity score is 94 of 100. Rows are ordered by readiness; rows not yet rated sit last.
9 companies · 9 swept · last sweep 2026-09-16
94/100
median
Ranked by readiness
- #1
Ironclad
ironcladapp.comManages contract lifecycle from creation through execution and analysis with AI-assisted review and negotiation.
bots in— llms.txt98/100
#1 of 9 in Legal - #2
Harvey
harvey.aiExecutes legal work including document analysis, contract review, due diligence, and litigation support using language models.
bots in— llms.txt88/100
#2 of 9 in Legal - #3
EvenUp Legal AI
evenuplaw.comDrafts legal documents, extracts case data, and automates client communication for personal injury law firms.
bots in— llms.txt67/100
#3 of 9 in Legal - #4
LawGeex
lawgeex.comAutomatically reviews and redlines contracts according to company policies using machine learning.
bots in— llms.txt66/100
#4 of 9 in Legal - #5
Luminance
luminance.comAutomates contract drafting, negotiation, analysis, compliance monitoring, and investigation using legal-grade AI agents.
bots in✓ llms.txt66/100
#5 of 9 in Legal - #6
Evisort
evisort.comManages contract data and provides contract intelligence for legal operations.
bots in— llms.txt64/100
#6 of 9 in Legal - #7
Robin AI
robinai.comReviews, analyzes, and finalizes contracts; searches and monitors contract obligations across document repositories.
bots partly— llms.txt59/100
#7 of 9 in Legal - #8
Spellbook
spellbook.legalReviews and drafts contracts, flags risks, and stores signed agreements for search and analysis.
bots partly✓ llms.txt43/100
#8 of 9 in Legal - #9
Juro AI 2
juro.comDrafts, reviews, redlines and stores contracts with AI agents integrated into business tools.
bots partly— llms.txt40/100
#9 of 9 in Legal
How to read a row
- swept
- Read by a crawler: HTTP and parsing, no model call. Every row, every week.
- measured
- The full analyzer run, asked of four engines. Shown only where the company agreed to show it.
Can a retrieval engine find, resolve and quote this site? Four parts, each read by the sweep, each shown beside the total.
Entity 25 · Machine-readable 35 · Retrieval access 20 · Footprint 20
A part that was never read is left out and the total is rescaled to what was. It is never counted as zero.