# Lizzyai

**Canonical:** https://apis.io/providers/lizzyai/  
**Website:** https://lizzyai.com/  
**APIs profiled:** 0

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.

## Kin Score — 14.7 / 100 (emerging)

Scored 2026-08-20 under rubric 0.12.0. Trend: flat (+0.0 from 14.7).

| Facet | Score |
|---|---|
| Discoverability | 50.0 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 31.6 |
| Access Clarity | 31.6 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (1)

- **Lizzyai Domain Security** — TLSv1.2 · HSTS · DMARC

## Tags

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

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/lizzyai/). Scores are computed from the provider's own public artifacts under a published rubric.