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Norway and Barclay Damon Limit AI Use for Beginners

Norwegian schools and US law firm Barclay Damon are restricting generative AI use for novices. The goal is to ensure foundational skills are learned before the tools are deployed.

15 July 2026
Norway and Barclay Damon Limit AI Use for Beginners

Norway's government has announced primary school students will largely cease using generative AI starting this fall. Concurrently, US law firm Barclay Damon has implemented a three-year rule for junior lawyers, requiring them to complete work without AI before using it for verification.

Both Norway's educational policy and Barclay Damon's strategy aim to achieve the same objective: ensuring beginners first acquire fundamental skills independently before leveraging AI tools. Norway's approach phases AI use by age group, from a complete ban for ages 6-13 to supervised use for 14-16 year olds, and learning proper utilization for 17-19 year olds. Prime Minister Jonas Gahr Støre emphasized foundational literacy and numeracy as paramount.

Barclay Damon's managing partner, Connie Cahill, outlined the firm's policy, stating that associates in their first three years must produce work without AI assistance. Only then can they use AI to check and refine their drafts. Doug Nash, chair of the firm's AI committee, explained that training the next generation of lawyers is already challenging, and offering AI as an immediate shortcut hinders the development of professional judgment.

These decisions come with short-term costs. Law firms bill by the hour, and the time a junior lawyer spends days on a memo that AI could generate in minutes represents unoptimized billable hours. Barclay Damon, however, accepts this immediate efficiency loss in exchange for cultivating senior partners in a decade who can critically evaluate legal reasoning, including AI-generated content.

Both Norway and Barclay Damon believe that mastering foundational skills without AI is crucial for developing deep understanding and professional capability. These measures do not reject AI entirely but aim to protect the learning phase, potentially appearing less efficient initially, but fostering more robust professionals long-term.

Original source: fastcompany.com