Legartis
Legartis's pricing page did not render numeric tier data on the scoring date. No per-unit price was found on the page; an agent has no direct way to estimate the cost of a single task. All advertised paths route to a sales conversation rather than a self-serve checkout. No public API documentation URL was discovered.
Legal Expertise for Your Entire Organisation — Legartis is your Legal AI Workspace for contract work.
Contact sales
How Legartis scores on the agent-ready dimensions
Public pricing
0 / 15
Usage-based / metered
0 / 25
Self-serve checkout
0 / 15
Public API
0 / 15
Low / no minimum
0 / 10
Unauth automated payment
0 / 10
Bonus (machine-readable pricing)On top of /100 base
0 / 5
Total
2 / 100
Can an autonomous agent transact here?
Can create account
Can enter payment method
Can upgrade plan
Can buy more usage
Can cancel online
Payment methods
Unknown
Human approval recommended
Pricing transparency
contact_only
Purchase motion
sales_led
Demo required
Quote required
Unknown
Annual commit required
Unknown
Auto-renewal mentioned
Cancellation policy visible
Refund policy visible
Invoice payment available
Unknown
Purchase orders supported
Unknown
MSA required
Unknown
DPA available
Security review required
Unknown
API & developer surface
API-first product
Sandbox present
Unknown
Webhooks
Unknown
MCP mentioned
Trust & compliance
Certifications
SSO / SAML
Unknown
RBAC
Unknown
Audit logs
Data residency
Positioning & ecosystem
“Legal Expertise for Your Entire Organisation”
Buyer persona
Six-step check: can an agent actually buy from Legartis?
Discover price
Select a plan
Pay per task
Avoid a sales call
API docs without auth
Estimate cost upfront
Pros and cons for AI agents
Observational summary written by xpay from the signals captured on 2026-05-06. Not a review of the product — only of its current pricing posture for agent buyers.- Pricing is publicly visible on an indexable page — agents can read tiers without scraping past auth.
- No per-unit price was advertised, so an agent has no way to estimate the cost of a single task.
- All advertised tiers route to a sales contact form; an agent cannot complete a purchase autonomously.
- API documentation is gated or absent; an agent cannot inspect the integration surface without authentication.
- No /.well-known/ai-pricing.json or equivalent machine-readable pricing manifest is published — agents must rely on HTML scraping.
- The pricing URL did not render numeric tier data on the scoring date — possibly a router or sales-led landing page.
How Legartis could lift its score
Add a per-unit price (e.g. $X / 1K calls) to the pricing page so an agent can compute its own cost before committing.
| pricing_visible | false |
| headline_phrasing | Legal Expertise for Your Entire Organisation — Legartis is your Legal AI Workspace for contract work. |
| tier_count | 0 |
| lowest_paid_entry_usd | null |
| free_tier | false |
| free_tier_terms | null |
| per_unit_price | null |
| annual_required | false |
| self_serve_paid_tiers | 0 |
| sales_only_tiers | 1 |
| public_api_docs_url | null |
| api_docs_auth_walled | null |
| ai_pricing_json_present | false |
| agents_txt_present | false |
| anonymous_purchase_path | false |
| per_unit_classification | null |
| usage_headline_present | false |
| custom_tier_present | true |
| agent_friendly | {"ai_pricing_json":false,"agents_txt":false,"llms_txt":false,"sitemap_xml":true,"mcp_server_card":false,"agent_skills_index":false,"x402_supported":false} |
View raw extracted page text →
Claim this scorecard & lift your score.
Get the breakdown of every signal we measured, the one-line fix, and how your peers in Ediscovery stack up.
Compare the agent-ready picks in Ediscovery.
If you're building or running an AI agent that needs to buy from this category, see who's scoring highest right now.
See agent-ready picksLegartis
2
/ 100 (rubric v1.1)Ediscovery
Legal Expertise for Your Entire Organisation — Legartis is your Legal AI Workspace for contract work.
0
No
Sales-led
0 / 1
Auth-walled
No
Not published
2026-05-06
Sales-led pricing
Book a demo · sales-led
Discovery files and protocols
Side-channel signals — informational, not part of the score. Each protocol is independent; adoption signals the publisher is thinking about agent buyers.ai-pricing.json
agents.txt
llms.txt
sitemap.xml
MCP Server Card
Agent Skills
x402 / MPP
Compare Legartis with peers
Highest-scoring companies in the same category that an AI agent might evaluate as an alternative.GoldFynch
49
Ipro for Enterprise
43
Kaleidoscope
41
Digital WarRoom
26
Logikcull
19
Exego
10
Cavo eD
9
eDiscovery Point
4
Explore the Agent-Ready SaaS Index
25,480+ SaaS scored on agent-buyability — browse by readiness band, category, or jump straight to a pay-per-run tool on xpay.tools.