Lizzyai

Lizzy is a generative-AI platform for legal professionals, delivering a secure Gen AI workspace across all practice areas through both a web application and a Microsoft Word/Outlook add-in. It supports contract drafting, review, analysis, and proofreading, customizable legal workflows and playbooks, in-document citations, redlining and track-changes, and the handling of long, scanned, watermarked, and multiple documents. A multi-LLM approach routes each task to the most capable model, and firms can train a private model that embeds their own know-how. Built for enterprise IT with a zero-trust architecture, no training on customer data, PII anonymization, SSO via SAML and OAuth 2.0, and shared, VPC, or self-hosted deployment options.

Lizzyai is profiled on the APIs.io network. Tagged areas include Company, Legal, Legal AI, Generative AI, and Artificial Intelligence.

Lizzyai’s developer surface includes signup flow, pricing, engineering blog, documentation, support, FAQ, YouTube channel, and 8 more developer resources.

🌐 Visit website 📡 Profile data on GitHub

20.0/100 emerging ▬ flat Agent 0/100 human only Front door AI 5/6 prominent Heartbeat 100/100 alive saas Full breakdown ↓
scored 2026-11-06 · rubric v0.27.0 · Show this score on your site →

AccessPaid

0 APIs

Company Legal Legal AI Generative AI Artificial Intelligence Legal Tech Document Management Contract Review Software-as-a-Service

Kin Score

Kin Score How this is scored →
scored 2026-11-06 · rubric v0.27.0

Composite quality — 20.0/100 · emerging

Contract Quality 0.0 / 21

Developer Ergonomics 2.8 / 17

Access Clarity 10.7 / 17

Operational Transparency 0.0 / 11

Contract Governance 0.0 / 10

Discoverability 4.1 / 9

Regulatory Posture 1.9 / 15

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Pagination 5 / 5

Distinct Operations 3 / 3

MCP Tool Quality 6 / 6

Regulatory Posture applies to this provider. Its tags matched the AI & Biometrics regime, so Regulatory Posture carries 15 points of the composite. If this regime is wrong for your business, say so on your provider repo — the applicability map is public and we will correct it.

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

The six quality facets above are damped to 85 points between them, because the conditional facet above carries the other 15. That is why each facet's contribution is shown against a damped maximum: raising a quality facet moves the composite by 85% of its nominal weight, not 100%. The full arithmetic is at apis.io/rating/.

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Agent readiness — checks not met, largest first (exact, from this profile):

Machine-Readable Contract +18 pts — api_specs includes an OpenAPI document
MCP Server +12 pts — deployment.mode + probe verdict on the mcp/ manifest, not the pointer; an unprobed slug falls back to authorship
Agentic Access Contract +10 pts — agentic_access artifact present (x-agentic-access), graded by author
Machine-Readable Auth +10 pts — a served openid-configuration/oauth-authorization-server carrying `issuer` (served), else the securitySchemes class in the provider OpenAPIs — bound (mutualTLS, DPoP, Signature) > negotiable (oauth2 authorizationCode/clientCredentials, openIdConnect) > bearer (http bearer, apiKey)
Idempotency +9 pts — OpenAPI mutating operations declare an idempotency key — a header, a request-body property, or a named de-duplication token whose own description says so (verified); else common[].type matches /idempoten/i (documented)
Stable Error Semantics +8 pts — OpenAPI $refs a shared error schema across 4xx/5xx responses (verified), else common[].type includes ErrorCatalog / ErrorCodes / DeclineCodes

13 more unmet checks in the Agent Readiness table above.

Kin Score — facets with the most composite points still available (weight × headroom):

Contract Quality scores 0.0 — up to +25.0 composite points
Developer Ergonomics scores 16.7 — up to +16.7 composite points
Operational Transparency scores 0.0 — up to +13.0 composite points

Each check links to what satisfies it. Publish the artifact, or tell us where it already lives, and the score moves on the next scoring run.

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. Every facet and dimension name above is a link: it opens that measurement's own page — what it means, the exact checks that feed it, how the whole catalog distributes on it, and the providers at the top of it. This rating is computed from the provider profile at artifacts.apis.io/lizzyai/apis.yml: open an issue on github.com/api-evangelist/lizzyai to ask a question or point us at an artifact you publish. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Lizzyai API pricing

Prices published by Lizzyai, read 2026-10-07 from lizzyai.com/pricing.

Plan	Price
Pro	$40 month/user Includes: 7m tokens/month/user
Team	$50 month/user (minimum $250/month) Includes: 7m tokens/month/user
Organization	$60 month/user (minimum $1,000/month) Includes: 7m tokens/month/user
Enterprise	$70 month/user (minimum $5,000/month) Includes: 7m tokens/month/user

Plan details, limits and sources →

Pricing Plans 1

Published pricing tiers and plan structures.

Lizzyai Plans Pricing

4 plans

PLANS

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Lizzyai Domain Security

TLSv1.2 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

SignUp

SignUp

Login

Documentation 1

Reference material describing how the API behaves

Documentation

Documentation

Access & Security 1

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Learn 1

Tutorials, courses, talks, and written guidance

YouTube

YouTube

Operate 2

Status, limits, changes, and where to get help

Support

Support

FAQ

FAQ

Commercial 4

Pricing, plans, and the legal terms of use

Plans

Pricing

TermsOfService

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Source (apis.yml)

aid: lizzyai
name: Lizzyai
description: Lizzy is a generative-AI platform for legal professionals, delivering a secure Gen AI workspace across all practice
  areas through both a web application and a Microsoft Word/Outlook add-in. It supports contract drafting, review, analysis,
  and proofreading, customizable legal workflows and playbooks, in-document citations, redlining and track-changes, and the
  handling of long, scanned, watermarked, and multiple documents. A multi-LLM approach routes each task to the most capable
  model, and firms can train a private model that embeds their own know-how. Built for enterprise IT with a zero-trust architecture,
  no training on customer data, PII anonymization, SSO via SAML and OAuth 2.0, and shared, VPC, or self-hosted deployment
  options.
url: https://raw.githubusercontent.com/api-evangelist/lizzyai/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- speedinvest
x-tier: stub
x-tier-reason: portfolio-lead
deliveryModel:
  model: saas
  open_source: false
  commercial: true
  callable_host: false
  label: Hosted service · you call their endpoint
  confidence: medium
  source:
  - pricing
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: paid
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Paid
  confidence: low
  source:
  - plans
  - security
  generated: '2026-11-06'
  method: derived
specificationVersion: '0.23'
image: https://lizzyai.com/images/preview.png
created: '2026-07-17'
modified: '2026-07-20'
tags:
- Company
- Legal
- Legal AI
- Generative AI
- Artificial Intelligence
- Legal Tech
- Document Management
- Contract Review
- Software-as-a-Service
tags_raw:
- Company
- Legal
- Legal AI
- Generative AI
- Artificial Intelligence
- Legal Technology
- Document Management
- Contract Review
- SaaS
- Document-Management
apis: []
common:
- type: Plans
  url: plans/lizzyai-plans-pricing.yml
- type: DomainSecurity
  url: security/lizzyai-domain-security.yml
- type: Website
  url: https://lizzyai.com/
- type: SignUp
  url: https://app.lizzyai.com
- type: Login
  url: https://app.lizzyai.com
- type: Pricing
  url: https://lizzyai.com/pricing
- type: Blog
  url: https://lizzyai.com/blog
- type: Documentation
  url: https://lizzyai.com/guides/manual.pdf
- type: Support
  url: https://lizzyai.com/contact
- type: FAQ
  url: https://lizzyai.com/faq
- type: TermsOfService
  url: https://lizzyai.com/terms
- type: PrivacyPolicy
  url: https://lizzyai.com/privacy
- type: LinkedIn
  url: https://www.linkedin.com/company/lizzyai
- type: Twitter
  url: https://x.com/lizzyaicom
- type: YouTube
  url: https://www.youtube.com/channel/UChCtHnYgOUw-XXwwOk_7vNA
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
x-enrichment:
  date: '2026-07-20'
  status: minimal
  artifacts_added: 1
  pass: local-v1

Lizzyai API — frequently asked questions

How much does the Lizzyai API cost?

Lizzyai publishes its prices; its Pro plan is $40 month/user as of 2026-10-07. APIs.io lists 4 pricing plans for Lizzyai, with each plan's price, limits and inclusions under Pricing on this page.

Is the Lizzyai API ready for AI agents?

Lizzyai has a Kin Score of 20.0 out of 100 (emerging) and an Agent Readiness score of 0.0 (human-only), scored by API Evangelist on 2026-11-06.

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apis_io_searchSTART HERE — APIs, providers and tags for one query, each with its total.
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