Genie AI
Genie AI is a legal-AI platform that helps business and legal teams draft, review, edit, and negotiate contracts autonomously. Founded in 2017 by founders trained by Google DeepMind, Genie is built on a patent-pending architecture called Eidetic Intelligence that gives its agents effectively unlimited memory across documents, negotiations, and organizational knowledge to reduce hallucination. The product ships autonomous contract drafting and review, multi-document deal management, risk analysis against organizational playbooks, tracked-changes negotiation, template automation, and one of the world's largest open legal libraries (500+ customizable templates and thousands of clauses across 150+ jurisdictions). Genie exposes an API and MCP connectors plus native integrations with email, CRM, cloud storage, and eSign on its Enterprise tier. The company is ISO 27001 and SOC 2 Type 2 certified, does not train on customer data, and raised a Series A led by GV (Google Ventures) with Khosla Ventures.
More than an index entry, but the surface is still mostly links rather than artifacts — the cohort most likely to move a full band from modest, well-targeted work.
API Evangelist profiles Genie AI the way a machine reads it — 2 machine-readable artifacts, pulled from the provider's own public surface and indexed so a developer, an analyst, or an AI agent can evaluate it against every other provider on the network.
Every provider in the network is reduced to the same set of machine-readable artifacts — OpenAPI contracts, event specifications, GraphQL schemas, runnable collections, pricing and rate-limit signals, security posture, OAuth scopes, and the agent surfaces (MCP servers and skills) that let software drive the API on its own. We profile them because the interface is the part of a company you can actually inspect: it is a truer signal of what a provider does than any marketing page. From those artifacts we compute the Kin Score — Genie AI scores 20.2/100 (emerging), with a separate agent-readiness read of 4/100 (human only). The full breakdown is below, followed by every artifact we hold — each card links through to its machine-readable definition on apis.io.
Kin Score
This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.
Kin Score
How this is scored →scored 2026-07-27 · rubric v0.5
How we profile Genie AI
Each block below is one kind of artifact we hold for Genie AI. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.
Security Posture 2
Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.
Authentication, domain security, vulnerability disclosure, and trust-center signals.
Resources
Every other property we hold for Genie AI — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.
Get Started 2
Portal, sign-up, and the first successful call
Agent Surfaces 1
MCP servers, agent skills, and machine-readable catalogs
Access & Security 3
Authentication, authorization, and security posture
Operate 1
Status, limits, changes, and where to get help
Commercial 3
Pricing, plans, and the legal terms of use
Company 3
The organization behind the API
← All providers · Data indexed from github.com/api-evangelist/genie-ai · machine-readable index on apis.io