§2 · Lane 1 — Rules-as-Code / Law-as-Code
Representing Legislative Rules as Code at Scale
Mowbray, Chung, Greenleaf (2023) · CLSR 48
Academic Tier 1 Lane 1 DOI
Bibliographic data
- Title
- Representing legislative Rules as Code: Reducing the problems of 'scaling up' (2023)
- Authors / Issuing body
- Andrew Mowbray (UTS), Philip Chung (UNSW Sydney), Graham Greenleaf (UNSW Sydney). AustLII.
- Venue / Publisher
- Computer Law & Security Review 48 (2023) 105772
- Year
- 2023
- Designation
- Academic
- Licence
- DOI — refer to publisher for full licence terms.
- Canonical link
- https://doi.org/10.1016/j.clsr.2022.105772
How to cite
Mowbray, Chung, Greenleaf (2023). Representing legislative Rules as Code: Reducing the problems of 'scaling up' (2023). Computer Law & Security Review 48 (2023) 105772. https://doi.org/10.1016/j.clsr.2022.105772.
Methodology for representing legislative rules propositionally, with a pre-processor that scales the RaC conversion to large bodies of legislation; demonstrates viability across 28,290 AU statutes + 40,109 regulations in AustLII.
Why it matters for NETEVO
Closes the recurring objection that RaC is fine for one statute but does not scale. The empirical evidence (AustLII's running corpus) is the answer NETEVO can cite when a board asks "is this academic or industrial?"
Where NETEVO applies this
- AI Governance in ANZ Whitepaper — scalability sidebar — AustLII corpus volumes