Technology,
Law Practice
Jul. 28, 2021
Neuro-symbolic hybrid AI aims to boost the law profession
The use of computational pattern matching known as machine learning has taken the marketplace by storm in all realms, including the law and legal profession. Some wonder what will happen next in AI and ponder whether machine learning will be the sole focus going forward or perhaps the “old-fashioned” rules-based approach will be reborn, or heaven forbid that a hybrid of both camps might be the best path forward.
Lance Eliot
Chief AI Scientist
Techbrium Inc.
Dr. Lance B. Eliot is a Stanford Fellow and a world-renowned expert on Artificial Intelligence (AI) and the Law with over 6.8+ million amassed views of his AI columns. As a seasoned executive and high-tech entrepreneur, he combines practical industry experience with deep academic research and serves as a Stanford Fellow at Stanford University.
Artificial intelligence continues to be extensively heralded and serves as the eye-catching hallmark of emerging computer tech, across all fields of endeavor, including for the law and the legal profession. The popularity of AI is like a giant steamroller that keeps on relentlessly powering forward. There is little doubt that the recent onset of widescale adoption of AI can be significantly attributable to advances made in the use of machine learning.
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