{"id":30126,"date":"2026-05-06T21:22:15","date_gmt":"2026-05-06T21:22:15","guid":{"rendered":"https:\/\/www.europesays.com\/ai\/30126\/"},"modified":"2026-05-06T21:22:15","modified_gmt":"2026-05-06T21:22:15","slug":"lawyer-judgment-in-the-age-of-ai-why-legal-reasoning-is-only-half-the-answer","status":"publish","type":"post","link":"https:\/\/www.europesays.com\/ai\/30126\/","title":{"rendered":"Lawyer judgment in the age of AI: Why legal reasoning is only half the answer"},"content":{"rendered":"<p>The legal profession&#8217;s singular focus on legal judgment is leaving a critical gap in business judgment, which is the ability to translate legal reasoning into action a business can use. Not surprisingly, AI is making both deficiencies impossible to ignore<\/p>\n<p>Key insights:<\/p>\n<p>Lawyers need two types of judgment \u2014 AI is exposing gaps in legal judgment and business judgment, both of which attorneys need to differentiate their value as automation increases.<\/p>\n<p>Legal and business judgment are not the same skill \u2014 Legal judgment produces lawyers who reason well about the law; business judgment produces lawyers who can translate that reasoning into something a business partner can understand and act upon.<\/p>\n<p>Business judgment is essential in the AI era \u2014 Business judgment is the translation layer between legal analysis and business action, and it has emerged as a key part of the value proposition for lawyers in an AI-powered profession.<\/p>\n<p>Every conversation about AI and its impact on how lawyers will learn judgment that is happening right now assumes the profession knows what judgment is. Yet, we\u2019ve spoken to two practitioners who demonstrate how differently they interpret what judgment is: One is talking about the ability to reason like a lawyer; and the other is talking about the ability to act like a business partner.<\/p>\n<p>Both of these interpretations matter, and both are in the spotlight because of AI. Yet, the legal profession\u2019s near-total focus on legal judgment, while remaining almost entirely blind to business judgment, may be a consequential mistake.<\/p>\n<p>Significant discussion about legal judgment<\/p>\n<p>The question about <a href=\"https:\/\/www.thomsonreuters.com\/en-us\/posts\/legal\/honing-legal-judgment-training-lawyers\/\" target=\"_blank\" rel=\"noopener nofollow\">how to teach legal judgment in the age of AI<\/a> within legal education is urgent and well-founded. For decades, junior lawyers have learned by doing, with legal instincts accumulated through repetition and proximity to experience.<\/p>\n<p>\u201cThe whole model that corporate clients would subsidize the learning of junior lawyers is all going away [because of AI],\u201d says <a href=\"https:\/\/www.linkedin.com\/in\/jenniferaleonard\/\" target=\"_blank\" rel=\"noopener nofollow\">Jen Leonard<\/a>, founder of Creative Lawyers, a consulting and advisory service dedicated to transforming the future of legal practices. \u201cCorporate clients already hated it, and now they have a way to say, \u2018I\u2019m absolutely not paying for this.\u2019\u201d<\/p>\n<p>The research, drafting, and document review tasks that once served as the informal training ground for legal judgment are those that AI is absorbing the fastest. The profession is right to sound the alarm. AI-powered simulation and knowledge tools are emerging as credible responses, and Leonard herself sees genuine promise in them. Now, firms can use decades of document management data to create AI-powered coaching environments, pattern-matching a partner\u2019s stylistic preferences so associates can calibrate their work before it lands on a senior lawyer\u2019s desk, she explains, adding that, unfortunately, inertia and the industry\u2019s resistance to change have emerged as structural obstacles to this advancement.<\/p>\n<p>Development of business judgment is lacking <\/p>\n<p><a href=\"https:\/\/www.linkedin.com\/in\/olgamack\/\" target=\"_blank\" rel=\"noopener nofollow\">Olga Mack<\/a>, CEO at TermScout, a general counsel and product builder of legal and decision systems who has spent years developing tools for legal and business teams, looks at judgment from a completely different place, framing the issue as a practice problem instead of an education one.<\/p>\n<p>The legal profession\u2019s near-total focus on legal judgment, while remaining almost entirely blind to business judgment, may be a consequential mistake.<\/p>\n<p>\u201cJudgment isn\u2019t one skill,\u201d Mack states. \u201cIt\u2019s a set of small decisions happening quickly: prioritization of what matters, articulation of trade-offs, mapping consequences, and translating all of that into something a business partner can act on.\u201d Her description of judgment is executive decision-making that happens to operate inside a legal constraint. More specifically, she refers to it as the translation layer between legal analysis and business action, or decision-making under constraint. \u201cIf that translation doesn\u2019t happen, the legal work doesn\u2019t have much effect,\u201d she adds.<\/p>\n<p>Comparing these two viewpoints side by side, legal judgment is focused on producing lawyers who reason well about the law; business judgment goes one step further by describing lawyers who reason well and who can translate that reasoning into something a business can act on.<\/p>\n<p>AI has shined a spotlight on both judgment gaps even as it showcases <a href=\"https:\/\/www.thomsonreuters.com\/en-us\/posts\/legal\/lawyer-development-ai-enabled-law-firms\/\" target=\"_blank\" rel=\"noopener nofollow\">the value of the AI-enabled lawyer<\/a>. AI may give you answers, but judgment is deciding which answers matter and what to do. And at a time in which AI can deliver output with some legal reasoning faster, cheaper, and at greater scale than any junior associate, the translation layer is no longer a complement to a lawyer\u2019s value proposition. Thus, that value proposition has to be addressed in an AI-enabled profession.<\/p>\n<p>Why both views need to be addressed<\/p>\n<p>The two judgment problems are equally urgent on the same timeline. New lawyers entering practice right now are expected to be AI-enabled immediately, and if they arrive with only legal reasoning capability and no translation layer, they will be outcompeted by the lawyers who have both legal and business judgment.<\/p>\n<p>The good news is that legal judgment is already taught, but it is not taught evenly. The key question at play is whether the profession is willing to make teaching such judgment more explicit and consistent. Business judgment, like legal judgment, has always been distributed unevenly with the proper understanding of it going to those with the best mentors, the most consequential early experiences, and the greatest proximity to senior decision-makers. Explicit teaching of judgment frameworks, through deliberate simulations could level that playing field in ways the osmosis model never could.<\/p>\n<p>The profession has one word \u2014 judgment \u2014 to teach as two different cognitive capabilities. Closing the gaps on both types requires the profession to stop treating them both as a natural byproduct of legal experience and start treating it as a foundational competency that must be taught deliberately, early, and at scale.<\/p>\n<p>\u201cWhat humans bring to the partnership with AI is judgment,\u201d Mack says, demonstrating the kind of clarity that tends to arrive only after years of building things that work. \u201cThis is not optional \u2014 it is mission critical.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"The legal profession&#8217;s singular focus on legal judgment is leaving a critical gap in business judgment, which is&hellip;\n","protected":false},"author":2,"featured_media":30127,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[24,557,558,25,561,19601,19602,19603,19604,564,19605,1697,567],"class_list":{"0":"post-30126","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","7":"category-ai","8":"tag-ai","9":"tag-ai-future-technologies","10":"tag-ai-in-the-legal-industry","11":"tag-artificial-intelligence","12":"tag-career-advancement-training","13":"tag-law-firm-business","14":"tag-law-firm-culture","15":"tag-lawyer-compensation","16":"tag-lawyer-staffing-headcount","17":"tag-legal-education","18":"tag-legal-talent","19":"tag-talent-development-management","20":"tag-technology-training"},"_links":{"self":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/30126","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/comments?post=30126"}],"version-history":[{"count":0,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/posts\/30126\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media\/30127"}],"wp:attachment":[{"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/media?parent=30126"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/categories?post=30126"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.europesays.com\/ai\/wp-json\/wp\/v2\/tags?post=30126"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}