Prior-art search for patent attorneys

You already know how to read prior art. The bottleneck is finding the closest references quickly across a vast, multilingual corpus - and semantically, not just by the applicant's chosen keywords. A meaning-based first pass gets you to the closest art faster, so client work starts from evidence rather than a blank page.

What it does

• Semantic retrieval across roughly 164M patents from 106 offices. Finds documents describing the same concept even when the wording differs, across all eras and languages.
• A feature-vs-patent matrix with per-patent X / Y / A verdicts as a reading aid.
• A transparent search trail. Every round, the classification areas searched, and the keyword-equivalent query - so the method is reproducible and defensible for a client.

Where it fits

• A first-pass novelty search to scope a matter before deep manual review.
• A second opinion that catches semantically-close art a keyword search missed.
• Client-ready evidence and reports you can annotate and share.

Frequently asked questions

Does semantic search replace a manual prior-art search?

No. It accelerates the first pass by surfacing the closest art by meaning, including references a keyword query would miss. Your judgment on validity and claim scope remains central.

How is the search auditable for a client?

Every run exposes its trail: the rounds executed, the classification areas searched, and the keyword-equivalent query - so the method is reproducible and defensible.

Can it catch art a keyword search missed?

Yes - that is its main advantage. Because it matches on meaning rather than exact vocabulary, it surfaces conceptually close documents that use different terminology from the applicant's.

ScoutIP is a search and mapping tool, not a substitute for professional judgment - validity and filing decisions remain yours.

Try it on a live matter