What IPClavis does
- Help frame a patent question and review a broader candidate set.
- Keep visible evidence references close to summaries and handoffs.
- Preserve the reviewed candidate set when work moves into a brief or watchlist.
AI patent search
AI patent search with evidence attached
AI patent search should help a reviewer find and understand relevant patent evidence, not replace the review. IPClavis combines AI-assisted query framing and evidence reading with inspectable patents, claims, and source references so the reason for each result can be checked.
How the review workflow works
- Describe the technology question, claim feature, or problem in working language.
- Retrieve candidates through exact-term, classification, and concept-based search lanes.
- Inspect the supporting documents and carry selected evidence into a source-linked review brief.
What IPClavis does not do
- Generate a patentability or FTO conclusion from a prompt alone.
- Turn model confidence into proof that a patent is relevant or enforceable.
- Present AI output as a substitute for claim and source review.
How the evidence stays inspectable
- Each result remains connected to patent and document evidence that can be opened and checked.
- Selected candidates retain the question, review scope, and source references used for the handoff.
- Unsupported statements and unresolved uncertainty stay visible as review issues.
Professional review boundary
AI patent search outputs are evidence-oriented review aids. They do not decide patentability, validity, product risk, or legal-finality outcomes.