自13世紀以來，法律培訓一直依賴從做中學的學徒制，但隨著人工智慧自動化了文件審查等基礎工作，律師事務所必須重新思考人才培育的方式。過去數十年間，隨著事務所規模擴大與全球化，律師培訓已從非正式的師徒關係轉變為由專門團隊負責的結構化課程，涵蓋商業發展與領導力等領域，而如今人工智慧的普及則帶來了進一步的轉型。

儘管人工智慧帶來了顛覆性的改變，傳統的法學訓練方法與核心技能依然至關重要。資深律師指出，雖然人工智慧能處理海量文件，但年輕律師過去在繁瑣實務中培養出的注重細節能力，現在正是用來驗證與評估人工智慧生成結果品質的關鍵，且律師提供判斷與創造價值的核心角色並未改變。

為了迎接新時代，許多事務所不僅沒有淘汰初階律師，反而認為這些熟悉人工智慧的新生代最能適應這場變革。事務所開始利用人工智慧驅動的模擬工具來進行談判與質證訓練，並結合資深合夥人的親自指導，藉此培養年輕律師對科技的健康懷疑態度以及同理心等無法被機器取代的人際技巧，從而重塑現代的法律學徒制。

Since the 13th century, legal training has relied on an apprenticeship model of learning by doing, but as AI automates foundational tasks like document review, law firms must rethink how they develop talent. Over the past few decades, as firms expanded globally, legal training evolved from informal mentoring into structured programs managed by dedicated teams covering areas like business development and leadership, with the rise of AI now driving a further transformation.

Despite the disruptive changes brought by AI, traditional legal training methods and core skills remain crucially important. Senior lawyers point out that while AI can process massive volumes of documents, the attention to detail young lawyers previously developed through routine tasks is now essential for verifying and assessing the quality of AI-generated output, and the core role of lawyers in providing judgment and creating value has not changed.

To embrace the new era, many firms are not eliminating junior lawyers but rather believe these AI-native recruits are best equipped to adapt to this transformation. Firms are beginning to use AI-powered simulation tools for negotiation and deposition training combined with direct guidance from senior partners, thereby cultivating a healthy skepticism toward technology and machine-irreplaceable human skills like empathy, ultimately reinventing the modern legal apprenticeship.