Technology,
Law Practice
May 26, 2021
Canons of contradiction reveal complexities for AI and the law
Good attorneys know that they must stridently attempt to anticipate the legal posturing that their opposition will seek to deploy. This can be difficult for one to envision due to cognitive biases toward their own crafted posture, though the advent of AI-based adversarial simulations can help to escape such boxed-in thinking. There is a limit though to how far the AI can go and lessons from the canons of contradiction are very telling thereof.
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.
The adversarial approach is a sacred tenet of our devised form of adjudication.
One exasperating difficulty that many attorneys discover early in their legal career is the oft tendency to anchor to your own set of arguments for a given court case. You carefully craft the legal position for your side of the case and sometimes become enamored of what great beauty you hath doth created. It is hard to give equal weight to whatever the op...
For only $95 a month (the price of 2 article purchases)
Receive unlimited article access and full access to our archives,
Daily Appellate Report, award winning columns, and our
Verdicts and Settlements.
Or
$795 for an entire year!
Or access this article for $45
(Purchase provides 7-day access to this article. Printing, posting or downloading is not allowed.)
Already a subscriber?
Sign In