Trellis Research website screenshot

Trellis Research

Trellis (trellis.law) is an AI-powered state and federal court research and litigation analytics platform built by litigators for legal teams. It aggregates the most extensive U.S. trial court data available — State Trial, Federal, District, Appellate, Supreme Court, and Bankruptcy cases across all 50 states plus DC — and exposes it through Smart Search, a REST Data API (V2, with federal and PACER integration), and a remote OAuth-secured MCP server. Capabilities include case/docket search, document retrieval, tentative rulings, verdict records, judge and firm analytics, party and expert search, case/topic alerts, and webhook notifications for docket refreshes.

Trellis Research publishes 1 API on the APIs.io network. Tagged areas include Company, Legal, Legal Research, Court Records, and Litigation Analytics.

The Trellis Research catalog on APIs.io includes 1 event-driven AsyncAPI specification.

Trellis Research’s developer surface includes documentation, API reference, engineering blog, support, signup flow, authentication, changelog, and 13 more developer resources.

40.2/100 developing ▬ flat Agent 45/100 agent ready saas Full breakdown ↓
scored 2026-09-08 · rubric v0.20.0
AccessSelf serve
1 APIs 1 MCP Servers
CompanyLegalLegal ResearchCourt RecordsLitigation AnalyticsJudicial AnalyticsLegal DataMCP

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-08 · rubric v0.20.0
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.
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/trellis-research: 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 →

APIs 1

Individual APIs this provider publishes, each with its own machine-readable definition.

Trellis Trial Court Data API

REST Data API (V2, May 2024) for programmatic access to U.S. state and federal trial court data — Search (Boolean/query over Cases, Documents, Rulings with filtering and sorting...

MCP Servers 1

Model Context Protocol servers that expose these APIs to AI agents.

Trellis Law MCP

Official remote MCP server from Trellis (trellis.law) exposing litigation research tools over U.S. state, federal, appellate, supreme, and bankruptcy court data — case search, d...

MCP SERVER

Event Specifications 1

AsyncAPI definitions for this provider's event-driven and streaming APIs.

Security Posture 2

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

Trellis Research Authentication

apiKey/oauth2 · 2 schemes

SECURITY

Trellis Research Domain Security

TLSv1.3 · DMARC

SECURITY

Resources

Get Started 2

Portal, sign-up, and the first successful call

Documentation 2

Reference material describing how the API behaves

Agent Surfaces 3

MCP servers, agent skills, and machine-readable catalogs

Design & Contract 4

Pagination, idempotency, versioning, errors, and events

Access & Security 2

Authentication, authorization, and security posture

Operate 3

Status, limits, changes, and where to get help

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: trellis-research
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: self-serve
  trial: false
  try_now: false
  public: false
  label: Self-serve signup
  confidence: medium
  source:
  - authentication
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/trellis-research.png
name: Trellis Research
description: Trellis (trellis.law) is an AI-powered state and federal court research and litigation analytics platform built
  by litigators for legal teams. It aggregates the most extensive U.S. trial court data available — State Trial, Federal,
  District, Appellate, Supreme Court, and Bankruptcy cases across all 50 states plus DC — and exposes it through Smart Search,
  a REST Data API (V2, with federal and PACER integration), and a remote OAuth-secured MCP server. Capabilities include case/docket
  search, document retrieval, tentative rulings, verdict records, judge and firm analytics, party and expert search, case/topic
  alerts, and webhook notifications for docket refreshes.
url: https://raw.githubusercontent.com/api-evangelist/trellis-research/refs/heads/main/apis.yml
x-type: company
x-source: vc-portfolio
x-backed-by:
- techstars
x-tier: stub
x-tier-reason: portfolio-lead
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-21'
x-enrichment:
  date: '2026-07-21'
  status: enriched
  artifacts_added: 12
  pass: local-v1
tags:
- Company
- Legal
- Legal Research
- Court Records
- Litigation Analytics
- Judicial Analytics
- Legal Data
- MCP
tags_raw:
- Company
- Legal
- Legal Research
- Court Records
- Litigation Analytics
- Judicial Analytics
- Legal Data
- API
- MCP
apis:
- name: Trellis Trial Court Data API
  description: REST Data API (V2, May 2024) for programmatic access to U.S. state and federal trial court data — Search (Boolean/query
    over Cases, Documents, Rulings with filtering and sorting), Rulings, Judges, Usage (billing-cycle usage stats), and Webhooks
    (manage refresh/alert notifications). API-key auth via the Authorization header.
  humanURL: https://support.trellis.law/trellis-api
  baseURL: https://trellis.law/api/
  properties:
  - type: Documentation
    url: https://support.trellis.law/trellis-api
  - type: APIReference
    url: https://support.trellis.law/trellis-api
  - type: Authentication
    url: authentication/trellis-research-authentication.yml
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://trellis.law/
- type: DeveloperPortal
  url: https://support.trellis.law/trellis-api
- type: Documentation
  url: https://support.trellis.law/
- type: APIReference
  url: https://support.trellis.law/trellis-api
- type: Blog
  url: https://blog.trellis.law/
- type: Support
  url: https://support.trellis.law/
- type: SignUp
  url: https://trellis.law/signup
- type: TermsOfService
  url: https://trellis.law/terms-of-service
- type: PrivacyPolicy
  url: https://trellis.law/privacy-policy
- type: StatusPage
  url: https://status.trellis.law/
- type: MCPServer
  url: mcp/trellis-research-mcp.yml
- type: Authentication
  url: authentication/trellis-research-authentication.yml
- type: Webhooks
  url: asyncapi/trellis-research-webhooks.yml
- type: Conventions
  url: conventions/trellis-research-conventions.yml
- type: Lifecycle
  url: lifecycle/trellis-research-lifecycle.yml
- type: ChangeLog
  url: changelog/trellis-research-changelog.yml
- type: Conformance
  url: conformance/trellis-research-conformance.yml
- type: WellKnown
  url: well-known/trellis-research-well-known.yml
- type: LLMsTxt
  url: llms/trellis-research-llms.txt
- type: DomainSecurity
  url: security/trellis-research-domain-security.yml
x-parent: trellis
x-relationship: product

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