Projects & Systems
Aidicia is built around structured legal research systems, source tracking, update monitoring, and practical legal-risk analysis.
Problem
AI-law developments are scattered across courts, agencies, legislatures, bar opinions, and legal news.
What I built
A structured tracker organized by jurisdiction, source type, topic, status, and practical significance.
Skills demonstrated
- · Legal research
- · Taxonomy design
- · Regulatory tracking
- · Information architecture
Problem
Articles become stale when cases, laws, or guidance change.
What I built
A planned source dependency model that links articles to the authorities they rely on.
Skills demonstrated
- · Legal knowledge management
- · Update monitoring
- · Source verification
Problem
AI law changes quickly, and legal research must show when it was last reviewed.
What I built
A planned system for review dates, staleness scoring, source-change alerts, and update tasks.
Skills demonstrated
- · Legal ops
- · Research workflows
- · AI governance thinking
Problem
AI vendor agreements hide legal risk in data-use, training, output ownership, confidentiality, indemnity, and liability clauses.
What I built
A structured clause-risk map for educational review.
Skills demonstrated
- · Contract issue spotting
- · Business risk analysis
- · AI product awareness
Problem
Courts and judges are adopting different rules for generative AI filings.
What I built
A tracker concept for court AI disclosure rules and filing obligations.
Skills demonstrated
- · Procedural awareness
- · Legal ethics
- · Litigation risk tracking
Problem
General AI chatbots can hallucinate or answer without legal sources.
What I built
A planned retrieval-limited assistant that answers only from verified Aidicia sources and cites its support.
Skills demonstrated
- · RAG architecture
- · Legal AI safety
- · Source-grounded design