Computational Law in the Era of Large Language Models (LLMs)

As LLMs become increasingly advanced, we will consider how they are reshaping the landscape of computational law, discussing the potential of integrating symbolic with neural AI.

In this workshop, Dr Megan Ma (Assistant Director of the Stanford Program in Law, Science, and Technology and the Stanford Center for Legal Informatics (CodeX)) covered the merits of structured approaches in creating explainable models. She also explored how these methodologies can coexist with LLMs to enhance accuracy and ensure that their use for legal processes remains fair and interpretable.

A crucial segment of the workshop focused on the generative capabilities of AI. With the ability of AI to generate sophisticated narratives and legal arguments, we must also consider thoroughly their potential risks and harms. This includes misuse of LLMs, data privacy concerns, and the need for accountable oversight.

The workshop ended with representatives from CodeX and CCLAW sharing updates on their work in this area and thoughts on the way ahead.