Legit Patents

Legit (listed by Seedcamp as "Legit Patents", 2016 cohort, legit.ai) was a Cambridge, Massachusetts startup applying natural-language processing to scientific and patent literature, which it developed into an on-demand expert network for the life sciences. Its product let pharmaceutical, biotech and medical-device teams search a corpus the company described as more than two million experts backed by roughly forty million data points, then pay a flat fee per reply to message key opinion leaders directly instead of scheduling calls — marketed for R&D, business development and licensing (BD&L), strategic alliances and integration management. The company is no longer operating: substantive legit.ai content disappears from the web archive after 2021, its LinkedIn company page returns HTTP 404, and the legit.ai domain is now parked on GoDaddy/Afternic and listed for sale (Afternic nameservers, a null MX record and an SPF "-all" policy). No public API, developer portal, documentation or machine-readable specification was ever published; see review.yml for the full probe record.

Legit Patents is profiled on the APIs.io network. Tagged areas include Company, Life Sciences, Expert Network, Natural Language Processing, and Scientific Literature.

0.0/100 minimal Agent 0/100 human only Full breakdown ↓
scored 2026-09-25 · rubric v0.23.0
0 APIs
CompanyLife SciencesExpert NetworkNatural Language ProcessingScientific LiteraturePatentsSearchBiotechnologyPharmaceuticalsKey Opinion LeadersDefunct

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-09-25 · rubric v0.23.0
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/legit-patents: 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 →

Resources

Other 1

Properties that don't map to a standard resource type

Source (apis.yml)

apis.yml Raw ↑
aid: legit-patents
deliveryModel:
  model: unknown
  open_source: false
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - none
  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
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/legit-patents.png
name: Legit Patents
description: 'Legit (listed by Seedcamp as "Legit Patents", 2016 cohort, legit.ai) was a Cambridge, Massachusetts startup
  applying natural-language processing to scientific and patent literature, which it developed into an on-demand expert network
  for the life sciences. Its product let pharmaceutical, biotech and medical-device teams search a corpus the company described
  as more than two million experts backed by roughly forty million data points, then pay a flat fee per reply to message key
  opinion leaders directly instead of scheduling calls — marketed for R&D, business development and licensing (BD&L), strategic
  alliances and integration management. The company is no longer operating: substantive legit.ai content disappears from the
  web archive after 2021, its LinkedIn company page returns HTTP 404, and the legit.ai domain is now parked on GoDaddy/Afternic
  and listed for sale (Afternic nameservers, a null MX record and an SPF "-all" policy). No public API, developer portal,
  documentation or machine-readable specification was ever published; see review.yml for the full probe record.'
url: https://raw.githubusercontent.com/api-evangelist/legit-patents/refs/heads/main/apis.yml
x-api-posture: no-product-api
x-api-posture-basis: observed
x-type: company
x-source: vc-portfolio
x-backed-by:
- seedcamp
x-tier: stub
x-tier-reason: portfolio-lead
x-status: defunct
x-status-detail: No substantive web presence after 2021; LinkedIn company page returns 404 and the legit.ai domain is parked
  and listed for sale on GoDaddy/Afternic as of 2026-07-19. Never published a public API.
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-19'
tags:
- Company
- Life Sciences
- Expert Network
- Natural Language Processing
- Scientific Literature
- Patents
- Search
- Biotechnology
- Pharmaceuticals
- Key Opinion Leaders
- Defunct
tags_raw:
- Company
- Life Sciences
- Expert Network
- Natural Language Processing
- Scientific Literature
- Patents
- Search
- Biotech
- Pharmaceutical
- Key Opinion Leaders
- Defunct
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Review
  url: review.yml
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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