Keunbong (KB) Do

Legal & Product Engineer

KB earned his J.D. from Harvard Law School, where he received the Irving Oberman Memorial Prize. Before law school, he completed his Ph.D. in biophysical chemistry at Stanford University as a John Stauffer Stanford Graduate Fellow and a Korea Foundation for Advanced Studies Fellow, and worked at Samsung SDI as a Senior Research Engineer. He holds a B.S. summa cum laude in chemistry from Seoul National University. KB is registered to practice before the U.S. Patent and Trademark Office, and is admitted to practice in California, New York, and Massachusetts.

ARTICLES BYKeunbong (KB) Do

July 29, 2026How Successful Patent Practitioners Are Putting AI to WorkThe most effective patent practitioners are already using AI patent drafting to draft faster, catch claim inconsistencies earlier, and free up hours for the strategic work that actually wins allowances. Key takeaways AI patent drafting tools can reduce application drafting time by up to 80 percent, with Solve Intelligence customers consistently reporting 50 percent or greater efficiency gains across drafting and prosecution Roughly 9 out of 10 utility patent applications receive at least one office action rejection, so prosecution efficiency matters as much as drafting speed Solo attorneys use AI to match larger law firms on turnaround speed and client capacity The strongest reported results come from iterative AI–attorney collaboration, with practitioners directing the process and owning the final work productRead article

July 13, 2026How Much of Your Patent Practice Should You Codify?Put your time into more strategic codification and judgment that sets your work apart, and lets a specialist carry and maintain the shared foundation for your patent work. AI is changing how in-house teams and outside counsel approach patent work. One reason is that it has raised the payoff for turning a practice into AI templates, instructions, and review criteria that run at scale. Let’s call that codification. A purpose-built platform already encodes a great deal of best practice out of the box, and a team can layer its own on top with custom AI templates and instructions. So the real question is not whether to codify, but how much to do yourself and how much to leave to a platform built for the work. There is no fixed formula, only a sensible division of labor. Key Takeaways: • AI has raised the payoff for codifying patent practice: a written standard now guides AI-assisted drafting and review directly, not just junior training. • A purpose-built patent platform encodes a large body of best practice out of the box, so a team can run on that foundation without writing its own. • Solve Intelligence maintains its shared foundation across more than 700 IP teams, keeping it current far more efficiently than any single team could alone. • The strategic choice is how much of your own practice to codify on top; scarce expert time belongs on the standards and judgment that differentiate your work. • A named professional still signs off on every filing regardless of the tools used, so accountability for the result never moves to the AI.Read article