1. Provided technical advice on the technology of interest to the Computer-Readable Legislation Project, including (1) reasoners, rules engines and logic programming such as Prolog and s(CASP)/Swish; (2) specialist tools including DataLex, Blawx, L4, Oracle Intelligent Advisor, RegelSpraak and Catala; (3) generic tools including Excel, QnA and Mermaid; (4) tools for marking up legislation, such as LegalRuleML & Akoma Ntoso; and (5) possible IDEs for legislative drafting.
2. Assisted with technical understanding of what external suppliers were proposing and achieving in any potential AI collaboration, particularly to ensure that all sides had an adequate understanding of each other's input and expectations.
3. Assisted with parsing model provisions for a Jersey version of “Common Legislative Solutions”.
4. Reviewed the Project’s work on parsing legislative examples, assisted with publishing the output of that work, and suggested other approaches that could be taken where appropriate.
5. Offered support in the Project’s plan to produce guidance and training material for legislative drafters on what they can learn from modern logic & computing even without using any technology (increased rigour from considering if-then-else structures).