IP Copilot

In-house IP team at a tech company files 200+ patent applications per year and each one takes a patent agent 40-60 hours to draft from the inventor disclosure — the bottleneck isn't the invention, it's the labour-intensive process of writing specifications, claims, and figures that meet USPTO requirements, while the patent agent's queue grows faster than they can work through it

Patent attorney conducting a prior art search for a client's invention spends 2-3 days manually searching USPTO, EPO, and non-patent literature databases — reading hundreds of abstracts, mapping claims to prior art references, and still worrying they missed something in a Chinese or Japanese patent that wasn't translated. The search costs the client $5,000-15,000 and the attorney still can't guarantee completeness

Litigation team preparing a patent invalidity defence needs to find prior art that anticipates or renders obvious each claim element — manually building claim charts across dozens of references takes weeks and costs $50-100K in associate time, and missing one key reference could lose the case

R&D team submits invention disclosures into a black box — they never hear back about patent decisions, don't understand why some inventions get filed and others don't, and eventually stop submitting because the process feels pointless

AI company has spent 5 years building proprietary models, training data pipelines, prompts, evaluation methods, and internal playbooks — but when the GC asks 'what exactly are our trade secrets, where do they live, and can we prove we took reasonable measures to protect them?' nobody has a defensible answer because the know-how is scattered across Git repos, shared drives, employee laptops, and people's heads