<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Legal on Seunghoon Choi</title><link>https://seunghoonchoi.com/tags/legal/</link><description>Recent content in Legal on Seunghoon Choi</description><generator>Hugo</generator><language>en-US</language><lastBuildDate>Tue, 23 Jun 2026 20:22:55 +0900</lastBuildDate><atom:link href="https://seunghoonchoi.com/tags/legal/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Automation Risk: Pre-Release Review Prevents Failures</title><link>https://seunghoonchoi.com/column/ai-risk-leverage/</link><pubDate>Tue, 23 Jun 2026 20:22:55 +0900</pubDate><guid>https://seunghoonchoi.com/column/ai-risk-leverage/</guid><description>&lt;p&gt;&lt;img src="https://seunghoonchoi.com/images/col-ai-risk-leverage-opt.jpg" alt="A laptop showing an AI workflow, with documents, a lock, and a warning light on the desk"&gt;&lt;/p&gt;
&lt;p class="inline-image-caption"&gt;As automation accelerates, legal, security, and reputation reviews need to happen before execution.&lt;/p&gt;
&lt;p&gt;With AI, writing one piece is quick. A customer notice, a press release, an email reply. A draft that once took a day can come out in ten minutes, in several versions. The most dangerous moment is not only when AI is wrong. It is also when AI creates plausible sentences too quickly.&lt;/p&gt;</description></item></channel></rss>