Examples of how this could be useful:
- Reducing the overhead for maintaining a list of semantic translations of that legal code into other languages. Of course the official language is the only one that is "legal" but the other translations should be close enough to effectively express the nuance provided the language outputs are maintained by people who can actually speak those languages.
- Producing machine executable proof or simulation code. This could be used for "fuzzing" the legal code to identify loopholes or unintended outcomes so that legislators can then propose improved terms to avoid those issues. This is by no means "making code law" but it provides an additional tool for understanding the law and how the many different parts of the legal code interact with each other.
- Adding on to the previous example, sim code could be integrated into complex models for simulating the impact of legal changes on the economy at large or specific segments.
- Finance related code can be used to generate a tool or API for validating tax, accounting, and compliance documents (as a first pass to catch errors early and reduce overhead) as well as to even prepare some of those documents. These tools often already exist but they are one or more steps removed from the actual legal definition which increases the risk of error as well as the overhead of maintaining them (which can potentially encourage rent seeking behavior by commercial providers of these tools).
France actually is already doing this to a reasonable degree albeit the "codified" version is based on the law rather than the codified version producing plaintext law. The DGFiP [1] maintains a gitlab organisation [2] that includes both Catala and MLang [3] representations of different parts of the french legal code for exactly these purposes.
1. https://fr.wikipedia.org/wiki/Direction_g%C3%A9n%C3%A9rale_d...