Di Legge Consulting supports EU policy and regulatory work at the intersection of public policy analysis and applied AI. The work focuses on evidence-intensive tasks, structured outputs, and methods aligned with Better Regulation-style analytical workflows. Typical assignments involve large document corpora, cross-instrument comparisons, stakeholder evidence, and the need for quantitative inputs for option appraisal.
The aim is to make evidence easier to retrieve, structure, verify and reuse. Deliverables are designed to be audit-friendly, with explicit assumptions, traceable sources, and proportionate verification steps. Where project details are confidential, relevant references and examples can be provided on request, subject to constraints.
Engagements typically start with a short scoping call to define the policy question, corpus boundaries, constraints, assurance level, and expected outputs.