When you’re deep in the weeds of an invalidity search, the hardest part isn’t sorting through the haystack — it’s knowing where to look for the needle. Traditional search tools often bury the most relevant prior art under layers of keyword matches and irrelevant noise. At DorothyAI, we built our tools to do the opposite: surface what actually matters.
Our Adaptive Research Technology (ART) system uses five proprietary search models, purpose-built to go beyond surface-level results. We’ve trained them on what real practitioners actually care about: context, meaning, claim language, and nuance.
In a recent invalidity case, a user ran a search on DorothyAI’s tools and found a reference that hit every element of the claim, hidden in a non-obvious section of a Japanese patent family — buried far deeper than any traditional tool could reach. The user told us, “This reference changed the entire direction of the case. It simply wouldn’t have come up in a standard search.”
That’s the power of our multi-model architecture. By combining Boolean logic, keyword expansion, transformer models, and concept clustering — all fine-tuned for patent work — we don’t just skim the surface. We dive deep, quickly.
So next time you’re staring down a high-stakes invalidity search, don’t just sift the haystack.
Bring the magnet. Use DorothyAI.