Why Law Students Should Learn to Code in the Age of AI

National Law Review
Law students should learn to code, particularly in Python, to understand the increasingly complex digital world and avoid being limited to merely using legal technology.

Summary

The article argues that traditional legal education is insufficient in the age of AI, as lawyers need to understand the technology they use rather than treating it as a “black box.” Teaching law students to code, specifically in Python, fosters logical rigor, mathematical literacy, and an understanding of digital architecture. This shift from being consumers to creators of legal tech allows lawyers to ethically challenge processes, build tailored tools, and understand the implications of algorithmic bias and data security.

The author highlights the benefits of understanding statistical significance and machine learning, particularly in areas like discrimination suits and antitrust cases. Furthermore, grasping cryptography and blockchain technology is crucial for navigating digital assets and cybersecurity. The rise of Generative AI tools like ChatGPT lowers the barrier to entry for coding, allowing students to focus on architectural logic rather than syntax.

Ultimately, the article advocates for equipping law students with the skills to not only use but also read, write, and challenge the codes governing modern life, ensuring they remain effective advocates and gatekeepers of justice in an increasingly digital world.

(Source:National Law Review)

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