Paxton AI

Paxton AI is a legal AI assistant built for attorneys and law firms, delivering rapid case-law and regulatory research, AI-assisted document drafting, file analysis, deposition and discovery summarization, and specialized workflows for medical chronologies and billing summaries. Founded by Tanguy Chau (CEO) and Michael Ulin and headquartered in Bend, Oregon, the company has raised roughly $28M across a $6M seed round led by WVV Capital and a $22M Series A led by Unusual Ventures, with participation from Kyber Knight and 25Madison. Paxton's platform covers US federal regulations, state laws, and case law across all fifty states, surfaces precise authority-linked citations, and runs in a closed model environment that is SOC 2, ISO 27001, and HIPAA compliant with data never used for model training. The product is delivered as a web SaaS targeted at solo practitioners, small and mid-size firms, and enterprise legal teams across personal injury, family, employment, criminal, and corporate practice areas; commercial access is sold via per-seat Individual plans ($499/month or $2,999/year) and a volume-priced Enterprise plan, with a 7-day free trial. Paxton publishes a small public GitHub presence with citator and legal-hallucination benchmark datasets but does not offer a public developer API, SDK, or open-source platform.

Paxton AI is profiled on the APIs.io network. Tagged areas include Legal, Legal AI, LegalTech, Legal Research, and Legal Drafting.

Paxton AI’s developer surface includes pricing, signup flow, engineering blog, GitHub presence, and 14 more developer resources.

🌐 Visit website 📡 Source on GitHub

18.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-07-23 · rubric v0.5

0 APIs

LegalLegal AILegalTechLegal ResearchLegal DraftingDocument AnalysisCase LawRegulationsMedical ChronologiesDiscoveryDepositionsGenerative AIVertical AILaw FirmsAttorneysSaaS

Kin Score

Kin Score How this is scored →
scored 2026-07-23 · rubric v0.5

Composite quality — 18.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 0.4 / 20

Commercial Clarity 8.9 / 20

Operational Transparency 2.1 / 13

Governance 0.0 / 12

Discoverability 6.8 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 15

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

Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/paxton-ai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Get Started 2

Portal, sign-up, and the first successful call

Signup

Signup

Login

Build 1

SDKs, sample code, and the tooling you integrate with

GitHub

GitHub

Access & Security 2

Authentication, authorization, and security posture

DomainSecurity

DomainSecurity

Security

Security

Operate 1

Status, limits, changes, and where to get help

Contact

Contact

Commercial 3

Pricing, plans, and the legal terms of use

Pricing

Pricing

TermsOfService

TermsOfService

PrivacyPolicy

PrivacyPolicy

Company 4

The organization behind the API

Website

Website

Blog

Blog

LinkedIn

Twitter

Twitter

Other 5

Properties that don't map to a standard resource type

Platform

Drafting

Research

SmallLawFirms

Datasets

Source (apis.yml)

aid: paxton-ai
name: Paxton AI
description: Paxton AI is a legal AI assistant built for attorneys and law firms, delivering rapid case-law and regulatory
  research, AI-assisted document drafting, file analysis, deposition and discovery summarization, and specialized workflows
  for medical chronologies and billing summaries. Founded by Tanguy Chau (CEO) and Michael Ulin and headquartered in Bend,
  Oregon, the company has raised roughly $28M across a $6M seed round led by WVV Capital and a $22M Series A led by Unusual
  Ventures, with participation from Kyber Knight and 25Madison. Paxton's platform covers US federal regulations, state laws,
  and case law across all fifty states, surfaces precise authority-linked citations, and runs in a closed model environment
  that is SOC 2, ISO 27001, and HIPAA compliant with data never used for model training. The product is delivered as a web
  SaaS targeted at solo practitioners, small and mid-size firms, and enterprise legal teams across personal injury, family,
  employment, criminal, and corporate practice areas; commercial access is sold via per-seat Individual plans ($499/month
  or $2,999/year) and a volume-priced Enterprise plan, with a 7-day free trial. Paxton publishes a small public GitHub presence
  with citator and legal-hallucination benchmark datasets but does not offer a public developer API, SDK, or open-source platform.
type: Index
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Provider
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/paxton-ai.png
tags:
- Legal
- Legal AI
- LegalTech
- Legal Research
- Legal Drafting
- Document Analysis
- Case Law
- Regulations
- Medical Chronologies
- Discovery
- Depositions
- Generative AI
- Vertical AI
- Law Firms
- Attorneys
- SaaS
url: https://raw.githubusercontent.com/api-evangelist/paxton-ai/refs/heads/main/apis.yml
created: '2026-05-24'
modified: '2026-05-24'
specificationVersion: '0.20'
apis: []
common:
- type: DomainSecurity
  url: security/paxton-ai-domain-security.yml
- type: Website
  url: https://www.paxton.ai
- type: Platform
  url: https://www.paxton.ai/platform
- type: Drafting
  url: https://www.paxton.ai/drafting
- type: Research
  url: https://www.paxton.ai/research
- type: SmallLawFirms
  url: https://www.paxton.ai/small-law-firms
- type: Pricing
  url: https://www.paxton.ai/pricing
- type: Signup
  url: https://app.paxton.ai/signup
- type: Login
  url: https://app.paxton.ai/signin
- type: Blog
  url: https://www.paxton.ai/blog
- type: Security
  url: https://www.paxton.ai/security
- type: TermsOfService
  url: https://www.paxton.ai/terms
- type: PrivacyPolicy
  url: https://www.paxton.ai/privacy
- type: Contact
  url: https://www.paxton.ai/contact
- type: GitHub
  url: https://github.com/PaxtonAI
- type: Datasets
  url: https://github.com/PaxtonAI/paxton-datasets
- type: LinkedIn
  url: https://www.linkedin.com/company/paxton-ai
- type: Twitter
  url: https://twitter.com/PaxtonAI
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com