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Examines the potential and desirability of quantifying legal objectives to optimize legal rules using AI algorithms.
The precision of legal commands - how finely customized are they to the specific circumstances - could be dramatically increased using AI algorithms trained to identify factors relevant to the optimal tailoring of any legal rule. To accomplish such automation of the law, a legal rule must be enacted with explicit statement of its objectives and their relative weight, instructing algorithms what to optimize. This paper examines whether such upfront quantification of a rules objectives is possible and even desirable.
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Omri Ben‐Shahar (2026) studied this question.
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