5 questions to ask before you choose a patent search tool
Here are five questions worth asking before you choose a search tool for your work.
AI searching - is it searching for meaning, or just matching your words?
Every patent search tool now claims to use AI. That word alone tells you very little. Keyword search finds documents that contain your words. It does not know what your invention actually does. Semantic search works differently. It looks at what a document means, not just what it says, so it can surface relevant patents even when the wording is completely different from yours.
Can you actually narrow results down to what matters?
Thousands of results come back. The one you actually need is sitting on page 40, and you can't get to it without filtering by inventor, owner, jurisdiction, or publication date, then starting the whole search over when the filter doesn't stick.
How does it handle the citation trail?
Prior art work is rarely a single search. It is a chain: this patent cites that one, which cites another, and so on. A tool that makes it easy to move forward and backward through citations saves real time. A tool that treats every patent as an island does not.
Can you pick up where you left off?
You ran this exact search three weeks ago. Today you're rebuilding it from scratch because nothing saved, and the filters you set last time are gone.
What happens to your data?
Before you put client matters through any tool, ask plainly how your data is handled, stored, and protected. A vendor that cannot answer this clearly and specifically is not ready for your work.
Choose a search tool that actually understands what you searched for and gets out of your way for the rest.
Patently Search is built around this exact idea: ranking by relevance, not just keyword match, with the filtering and citation tools patent professionals need day to day. See Patently Search.
AI searching - is it searching for meaning, or just matching your words?
Every patent search tool now claims to use AI. That word alone tells you very little. Keyword search finds documents that contain your words. It does not know what your invention actually does. Semantic search works differently. It looks at what a document means, not just what it says, so it can surface relevant patents even when the wording is completely different from yours.
Can you actually narrow results down to what matters?
Thousands of results come back. The one you actually need is sitting on page 40, and you can't get to it without filtering by inventor, owner, jurisdiction, or publication date, then starting the whole search over when the filter doesn't stick.
How does it handle the citation trail?
Prior art work is rarely a single search. It is a chain: this patent cites that one, which cites another, and so on. A tool that makes it easy to move forward and backward through citations saves real time. A tool that treats every patent as an island does not.
Can you pick up where you left off?
You ran this exact search three weeks ago. Today you're rebuilding it from scratch because nothing saved, and the filters you set last time are gone.
What happens to your data?
Before you put client matters through any tool, ask plainly how your data is handled, stored, and protected. A vendor that cannot answer this clearly and specifically is not ready for your work.
Choose a search tool that actually understands what you searched for and gets out of your way for the rest.
Patently Search is built around this exact idea: ranking by relevance, not just keyword match, with the filtering and citation tools patent professionals need day to day. See Patently Search.