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Expanding Opportunities: The Impact of Legal AI on Non-Legal Professionals

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Legal AI will create more work, but not for lawyers

The ongoing debate surrounding generative AI often leads to two recurring headlines in various industries: “AI is destroying the industry” and “actually, AI is creating more work for the industry.” This debate is no different in the legal sector. The legal industry serves as a unique case study, being one of the first professional domains to fully utilize specialized AI tools, which have provided concrete data on their impact.

One key point to note is that the implementation of cheaper and faster legal AI tools does not simply replace existing legal work; it also opens up new avenues of legal work that were previously unattainable. This phenomenon can be likened to Jevons Paradox, where increased efficiency leads to higher consumption. As a result, more contracts are reviewed, more clauses are flagged, and more compliance queries are raised due to the reduced costs associated with such tasks.

The CEO of Box, Aaron Levie, correctly argues that AI will generate more legal work rather than diminish it. However, the real shift lies in who will meet this new demand. Previous waves of workplace technology have seen a growth in legal headcount, but the current wave of AI is reshaping the legal market in a different way.

Traditionally, legal work has been outsourced by large corporations to law firms at premium rates. However, with the advent of AI tools that can replicate and automate specific legal tasks, companies are now reconsidering the hourly billing model and opting to handle more legal work in-house. This shift indicates a move away from reliance on law firms and towards internal capabilities.

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The impact of AI on the legal market is evident in the restructuring of tasks such as contract review, policy checks, claims processing, and compliance monitoring. These high-volume, rule-based tasks are now being accelerated by specialized AI tools, allowing in-house teams and business functions to take on tasks that were previously outsourced.

The key takeaway from the debate on AI’s impact on job creation or destruction is the increase in output volume. While generalist AI tends to expand demand within existing structures, specialized AI relocates demand to those closest to the workflow. In the legal sector, this means that in-house teams and business users are the ones benefiting from tools tailored to their specific needs, rather than law firms or courts.

In conclusion, the ongoing evolution of AI in the legal industry signifies a shift towards internal capabilities and efficiency. The increased volume of legal work generated by AI is not leading to job destruction but rather a redistribution of tasks within organizations. This restructuring highlights the importance of adapting to specialized AI tools to thrive in the changing legal landscape. Transform the following:

“Let’s go to the park and play some basketball”

into a question.

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