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Words or code first? Is the legacy document or a code statement the better starting point for complexity-reducing
Oliver R Goodenough1,2,3, Preston J Carlson4
1Vermont Law and Graduate School, South Royalton, VT, USA.
Summary
Computational Law can improve legal system management by converting rules into computable formats. A code-native approach, rather than direct translation, offers significant advantages for expressing legal complexity.
Area of Science:
- Computational Law
- Complexity Science
- Legal Informatics
Background:
- Law is essential for managing social interactions.
- Computational Law offers potential for enhanced legal complexity management.
- Restating legal rules in computable forms yields advantages.
Purpose of the Study:
- To explore automation approaches in Computational Law.
- To advocate for a code-native approach over direct natural language translation.
- To demonstrate the benefits of a code-native approach using a simplified insurance policy.
Main Methods:
- Analysis of automation strategies in Computational Law.
- Development of a code-native software approach reflecting underlying legal structures.
- Case study application to a simplified insurance policy.
Main Results:
- A code-native approach offers significant advantages for Computational Law.
- Direct translation from natural language to code is less effective.
- Large language models can assist but not replace code-native utilities.
Conclusions:
- A code-native methodology is superior for managing legal complexity computationally.
- Future work in Computational Law should prioritize code-native solutions.
- This approach enhances the expression and management of legal rules.
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