How AI Changes the Apprenticeship Path
How AI Changes the Apprenticeship Path, and What We Are Doing About It
The routine drafting work that taught new patent attorneys for decades is increasingly done by machines. That is a real problem for how the next generation builds judgment. It is also a solvable one.
For as long as anyone in this profession can remember, you learned to be a patent attorney by doing the work badly and then less badly. You drafted a claim set. A partner tore it apart. You drafted it again. After a few hundred cycles, you had judgment you could not fully explain but could absolutely use.
That loop is breaking. Not because anyone decided to break it, but because the first-pass work that used to fill it, the routine drafting, the antecedent cleanup, the first structural pass at a specification, is increasingly handled by AI. When the routine work disappears, so does the classroom it used to be. Call it the apprenticeship gap. You can pretend it is not there, or you can rebuild the classroom on purpose. We chose to rebuild the classroom.
A word on what SimProf is, for anyone arriving here first. SimProf is SLW’s in-house patent-prosecution training platform, organized into several modules that track the real work: Preparation, drafting claims from disclosures and prior art; Prosecution, responding to office actions; and Correspondence, covering realistic conversations with inventors, examiners, partners, and clients. Its purpose is to rebuild the judgment reps the old apprenticeship used to supply, in a place where getting it wrong is free.
The skill that replaced drafting is supervision
A new attorney today does less first-pass drafting and more reviewing of machine output, and reviewing is the harder skill, not the easier one. For example, reading a competent-looking draft for the written-description gap the model papered over, or the argument that reads beautifully and cites nothing, takes more judgment than writing from a blank page.
“Reviewing an AI-generated draft well is harder than writing one from scratch, but nobody hands you that skill on day one. We are building tools to help our associates build that skill and judgement, and in an environment where being wrong doesn’t cost a client anything.” – Christopher Palmisano, Principal
This is why SimProf has a supervision module, and it may well be the most important part of the tool. Trainees receive AI-generated work product with flaws deliberately built in, along with the underlying source materials, and asked to find what is wrong before anyone relies on it. The task then moves from simple prompt writing to building better attorney judgment.
Why this is a recruiting question, not only a training one
If you are early in this profession, the thing to be afraid of is not that AI takes your job. It is joining a firm that lets AI take your education, allows rubber-stamping machine-generated output, and never builds your judgment, so that ten years in you are senior in title and junior in instinct. That is the quiet risk, and it is worth choosing against.
The profession can least afford that right now. The patent bar is aging, and the pipeline of new entrants is narrow: only about a thousand new practitioners registered in 2024, well below historical peaks. The firms that produce strong strategic advisors over the next decade will be the ones that treated judgment as something to build deliberately, rather than something they hoped would accumulate on its own.
What we are doing about it
SimProf is rebuilding the reps the old feedback loop used to provide, on purpose and in a setting where getting it wrong is free. Supervision drills build error-catching instincts and simulation scenarios build the people skills. Preparation and prosecution exercises sharpen the fundamentals, and real-world mentorship makes sure a human is still closing the loop, the way a partner used to close it over a marked-up draft.
We have trained a lot of young attorneys at this firm. The best of them may not have been the fastest drafters, but they were the ones who could look at something that appeared finished and feel that it was not. That instinct is more valuable now than ever, and it does not appear on its own. We are going to keep building it on purpose. In the final article in this series, Aris Gregorian and Jeff Cobia speak directly to the people deciding where to start their careers.
Learn more about SimProf.