Which AI is best for patent drafting?
The best AI for patent drafting depends on who is holding the pen. There are three categories. General-purpose assistants (ChatGPT, Claude, Gemini) are good at structuring an invention disclosure and explaining the process, but have no patent database, no attorney, and consumer data-training defaults you must switch off; none of them should produce the claims you file. Attorney-facing drafting copilots (DeepIP, Solve Intelligence, Patlytics, Qatent, Edge by Patsnap, Rowan Patents) are built for patent attorneys and in-house IP teams, drafting inside Word or a browser editor with prior art and office action support; they make a good attorney faster, but you still need to hire and pay the attorney, usually by the hour. AI-native patent firms such as Lightbringer bundle the AI drafting with registered patent attorneys who review and sign the filing, at a fixed, published price.
For a founder or engineer without an IP team, only the third category ends with a filed application, since a copilot without an attorney produces a document, not a patent. For a law firm, the second category is the relevant comparison. Whatever you choose, apply three tests: does it search the prior art rather than guess, does a named registered attorney sign what gets filed, and where does your unfiled invention data go. Lightbringer's answers are yes, yes, and a SOC 2 Type 2 certified platform with strict access controls. Pricing is published on the pricing page.
