As someone who's in AI legal space (as it relates to IP), this is particularly why we positioned our startup as using generative AI for everything BUT patent di

As someone who's in AI legal space (as it relates to IP), this is particularly why we positioned our startup as using generative AI for everything BUT patent disclosures & generation https://ipcopilot.ai/ https://ipcopilot.ai/ There's some pretty massive risks in the legal space with AI generating IP. Imagine a hallucination tweaking the original idea OR even a summary of the methods removing a step. Or even just missing a citation or directing to the wrong figure. It's massively important in the patent (and trade secret) world. That said, all law firms are adopting this tech, because ultimately they have to. It'll reduce their costs 30-50% pretty easily and most of what they add are templates anyway. The unspoken joke in the IP industry is that attorneys themselves are often inventing. When an inventor sends an attorney two paragraphs, it's almost impossible to create a 20 page patent without some input. A good attorney will follow up, research the prior art and make a robust set of references & highlight what's new. That said, generating a patent from scratch with AI really looses a lot of context. For reference, just our prior art analysis in looks at 3200+ pages on average and analyzes them for prior art (looking for the same concepts, descriptions, ideas, etc). To generate a good patent you'll need to synthesize that all down (without errors) and appropriately reference how your idea is unique & not covered by the various prior art.