Measuring ROI on Patent Prosecution AI

Adoption is not ROI

Seats logged in, prompts sent, documents generated. None of that is a return. A return is an output metric moving against a baseline, with quality held constant, converted to money at a loaded labor cost. Anything else is a usage report.

The method below comes from the economists behind Workhelix, whose research base is the field work on generative AI at work: Brynjolfsson, Li and Raymond found roughly a 14 percent average productivity gain in a staggered rollout across 5,172 support agents, with novices gaining far more than experienced staff (arXiv 2304.11771). That is the shape of a real measurement: same task, staged rollout, quality checked.

Step 1: decompose the response into tasks

Never ask what the ROI of AI is for your practice. That unit is too big to measure. Break one office action response into the tasks it is actually made of, and score each one.

Exposure rubric from Eloundou, Manning, Mishkin and Rock (arXiv 2303.10130): E0 means a language model does not cut the time. E1 means a model alone cuts it by at least half at equal quality. E2 means a model plus software built on it does. Legal occupations sit in the highest exposure tier. The task split above is my own mapping of a response; yours may differ, and that is the point of doing it yourself.

Step 2: benchmark against your own best user, not a brochure

The one controlled result I know of in patents comes from Google. At a Berkeley Center for Law and Technology panel, Google reported an A/B test across its outside counsel panel showing a 20 percent efficiency gain from AI-assisted drafting, and Google then asked its panel to cut outside counsel prosecution fees by 30 percent (Berkeley BCLT, ALPI-D2-06). Note what happened there: the efficiency was measured, and then the client took it.

Step 3: decide who keeps the hour

This is where legal ROI diverges from the enterprise case. In a salaried company, an hour saved is a dollar saved and the argument ends. In a law firm it depends entirely on how you bill.

An ROI claim that does not say which row it belongs to is vendor noise. The third row is the honest one nobody prints: if you bill hourly and the freed time stays empty, the revenue effect on that matter is negative, and the return has to come from rate, realization, or work you would otherwise have turned away.

Step 4: put your own hours in

I am not going to hand you an hours-saved figure. Any benchmark I published would be my sample and my cases, and you would be right to discount it. Time your next three responses, run three more with the tool, and use the difference. If you need an outside rate anchor, the USPTO used the AIPLA 2025 survey average of $550 per hour in its own rulemaking (Federal Register, 2026-07-17, doc 2026-14389).

The denominator is the easy half. The software line is $99 per office action response export, flat, with no subscription and no seat fee. The ROI calculator does that arithmetic once you have your own hours, what an office action response costs breaks out the rest of the per-task prices, and the solo practitioner page shows the workflow the hours are measured against.

Frequently Asked Questions

Related Guides