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What is a prior-art search?

By the ScoutIP team · Last updated July 26, 2026

A prior-art search is a structured search for everything already made public that is relevant to an invention - granted patents, published patent applications, and sometimes non-patent literature - so you can judge how new the idea actually is. "Prior art" is the body of knowledge that existed before a given date; if your invention is already fully described in it, it is not novel and cannot be patented.

In short: a prior-art search answers one question - has someone already disclosed this? - with evidence rather than a hunch.

Why a prior-art search matters

  • Before filing a patent. A patent is only granted for something new and non-obvious (EPC Article 54, 35 U.S.C. 102). Finding close prior art early tells you whether a filing is worth the cost, or how to narrow the claims to what is genuinely new.
  • Before investing or building. Prior art shows how crowded a technical field is and who else is working in it.
  • To challenge a patent. The same search, run against an existing patent, can surface art that undermines its validity.

Novelty vs non-obviousness

A prior-art search informs two separate legal questions:

  • Novelty: is the exact combination of features already disclosed in a single document?
  • Non-obviousness (inventive step): even if no single document shows everything, would combining a few known documents be an obvious step for a skilled person?

See novelty vs freedom-to-operate for a related distinction that is often confused with novelty.

Keyword search vs semantic search

Traditional patent search matches keywords, so a patent that describes the same idea in different words is missed - a well-documented weakness, because inventors and examiners rarely choose the same vocabulary. A semantic search turns the invention into a meaning representation (an embedding) and finds patents describing the same concept regardless of wording.

Keyword searchSemantic search
Matches onExact words and synonyms you supplyMeaning of the whole description
MissesSame idea, different wordsFewer conceptual matches
EffortManual query craftingPlain-language description

ScoutIP searches by meaning across a corpus of roughly 164 million patents from 106 patent offices, spanning all eras and languages.

How to run a prior-art search

  1. Describe the invention in plain language - what problem it solves and how, feature by feature.
  2. Search broadly, then narrow - cast a wide semantic net, then focus on the closest technical areas.
  3. Read the closest art against your feature list - a prior-art matrix makes this legible at a glance.
  4. Decide - file, narrow the claims, pivot, or take the strongest references to a patent attorney.

Frequently asked questions

How much does a prior-art search cost?

It ranges from free self-service semantic tools to several thousand euros for a professional attorney-run search. A software-based first pass (like ScoutIP) lets you screen an idea in minutes for a fraction of that, then reserve paid attorney time for the ideas that survive.

How long does a prior-art search take?

A manual professional search can take days to weeks. A semantic search engine returns the closest prior art in minutes - ScoutIP typically produces a mapped report in under 10 minutes.

Does a prior-art search guarantee my patent will be granted?

No. A search reduces uncertainty by surfacing the closest known art, but patent offices run their own examination and may cite references a search missed. Treat it as the best available evidence, not a guarantee.

Can I do a prior-art search myself?

Yes, for a first pass. Free tools like Google Patents and semantic engines let you screen an idea. For a filing decision, confirm the results with a qualified patent attorney.

Run one

Describe your invention in plain language and let the search find and map the closest prior art for you.

Start a prior-art search