Paxton AI website screenshot

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, Legal Tech, Legal Research, and Legal Drafting.

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

7.4/100 minimal ▬ flat Agent 0/100 human only saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
0 APIs
LegalLegal AILegal TechLegal ResearchLegal DraftingDocument AnalysisCase LawRegulationsMedical ChronologiesDiscoveryDepositionsGenerative AIVertical AILaw FirmsAttorneysSoftware-as-a-Service

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
Regulatory Posture applies to this provider. Its tags matched the Health 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/.
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 github.com/api-evangelist/paxton-ai: open an issue to ask a question, or submit a pull request to add artifacts. Submit an artifact on GitHub — free → Manage your own listing — the Influence plan, $499/mo →

Security Posture 1

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

Paxton Ai Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Build 1

SDKs, sample code, and the tooling you integrate with

Access & Security 2

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 4

The organization behind the API

Other 5

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
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
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: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
position: Producing
access: 3rd-Party
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/paxton-ai.png
tags:
- Legal
- Legal AI
- Legal Tech
- Legal Research
- Legal Drafting
- Document Analysis
- Case Law
- Regulations
- Medical Chronologies
- Discovery
- Depositions
- Generative AI
- Vertical AI
- Law Firms
- Attorneys
- Software-as-a-Service
tags_raw:
- 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: '0.23'
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

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