Haryun's Blog

Law Solver is a learning service that turns questions written by users into a browser-based CBT experience through a CSV import. It supports true-or-false, five-option multiple-choice, and short-answer questions, with results and explanations available as soon as an answer sheet is submitted. Users can also retry only the questions they missed and leave notes for later review.

I did not set out to build a service for a large audience. Law Solver began as a small tool for a recurring inconvenience in my law school study group. As my friends and I used it in our actual coursework, new features grew out of what we needed. I later added Premium for reviewed online question sets and a collection of small apps for law school life. I handled the entire project, from product planning and frontend and backend development to testing and deployment.

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Looking Back on the Semester

I have finished my first semester of law school. I received an A+ in all four of my courses: Fundamental Rights in Constitutional Law, General Principles of Civil Law, Specific Topics in the Law of Obligations, and the General Part of Criminal Law.

I was genuinely happy when I saw the results. But the numbers alone were not the whole reason. I had never been confident that I would do particularly well, and throughout the semester I had no real sense of where I stood. What pleased me most was that, when I looked back carefully, a semester spent simply doing what I could and trying to stay consistent had ended with very little to regret.

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Practicum at the Constitutional Research Institute

The first summer break after entering law school turned out to be much shorter than I had expected. Finishing exams did not mean I could simply relax. There were courses to review, a new semester to prepare for, extracurricular opportunities to consider, and career questions that had begun to pile up. In the midst of all that, I was fortunate enough to be selected for the law school practicum program at the Constitutional Research Institute of the Constitutional Court of Korea.

The program lasted two weeks. Giving up a meaningful portion of an already short break was not a small decision, but as someone with a genuine interest in constitutional law, it was not an opportunity I could easily pass up. It offered the chance to study constitutional adjudication not only through textbooks and casebooks, but from the perspective of the Court that actually researches and decides constitutional cases. From June 29 to July 10, 2026, I spent two intensive weeks learning how constitutional litigation is handled at the Constitutional Court and its Research Institute.

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Reflections on the First Law School AI Challenge

When I had just finished my first semester of law school, I entered the First Law School AI Challenge with a friend. At first, judging from the name alone, I thought it would be a competition about using AI well to produce something like the case analysis or record-based answers we write in law school. But once I opened the problem set, I realized that the competition was asking something much deeper. In an age when legal professionals use AI as a tool, what can we do faster? What must we verify more carefully? What kinds of abilities should students cultivate? And above all, what kinds of judgment can only a human being ultimately take responsibility for?

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For a while now, I keep coming back to the same question.

Am I keeping up with this pace?

Not so long ago, being a software developer felt like a reasonably “safe” bet. Demand was everywhere, and skilled people were valued for it. I had carved out a niche for myself in the strange world of blockchain, and I was confident in my ability to manage projects, coordinate teams, and see goals through to completion. There was an unspoken belief that if I kept sharpening my craft, I’d be fine — more than fine, even. Then, somewhere along the way, that belief started to crack.

AI began writing code. At first, simple functions. Then, before long, fairly complex logic — done in minutes, where a junior developer might have spent a full day. A few months later, given a well-structured brief, it could take a project from spec to completion on its own. What I felt watching that wasn’t fascination. It was a quiet, unsettling anxiety.

I always knew technology moved fast. That wasn’t news. But this was different. It wasn’t about learning a new framework or picking up a new language. The act of writing code — the act of building something — was itself losing its edge. The skills I had spent years accumulating were being commoditized, and fast. And commoditized skills, in the end, get replaced.

So what kind of person was I going to be in this world?

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There is a strange time lag in conversations about AI. One person remembers the unreliable answers of a free chatbot from several years ago and concludes that the technology is still not useful. Another says that AI has already transformed the way they work. They appear to discuss the same technology while looking at entirely different moments.

Matt Shumer’s February 2026 essay “Something Big Is Happening” explains that gap in urgent terms. It argues that AI is moving fast enough to reshape knowledge work and society, and that people should begin adapting now. I agreed with parts of the essay and found other parts too certain. Its central question was nevertheless difficult to avoid: how much has the value of familiar work and expertise already changed?

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