Semantic patent search

Semantic patent search for concept-level evidence retrieval

Semantic patent search compares a technology question with patent evidence by concept, not only by exact words. IPClavis positions semantic search as one mode inside an evidence workflow, alongside lexical and hybrid retrieval.

How the review workflow works

  1. Describe the technical concept, function, or problem to be investigated.
  2. Compare conceptual candidates with exact terms, classifications, and other search constraints.
  3. Inspect the supporting patent text, remove noise, and carry selected results into the next review step.

What IPClavis does

  • Find terminology variants and conceptually similar disclosures that exact wording can miss.
  • Keep exact-term and classification controls available beside concept retrieval.
  • Make the supporting patent evidence inspectable before a result is selected.

What IPClavis does not do

  • Promise coverage beyond a reviewed, dated public coverage snapshot.
  • Replace exact keyword and classification filters where they are needed.
  • Turn vector proximity into a legal or technical conclusion by itself.

How the evidence stays inspectable

  • Semantic scores are candidate-ranking signals, not conclusions.
  • Exact-term and concept matches stay comparable inside the same review workflow.
  • Selected results retain their source documents when they become a review brief.

Professional review boundary

Semantic similarity is a retrieval signal. Analysts and attorneys must review claims, descriptions, legal status, and jurisdiction-specific context.