Skill Injection Defense for Legal AI

IA
Ignacio Adrián Lerer

1 min read 13 views

1779653591728.jpeg

Happy to share that my second skill has been approved on Lawve AI.

“Skill Injection Defense” is a safety-oriented skill for reviewing legal AI skills, prompts, workflows, MCP/tool instructions and agent packages before trusting, installing or publishing them.

It is designed for the open legal AI moment we are entering: more community skills, more MCP connectors, more reusable workflows; but also more supply-chain risk.

The skill checks for prompt injection, hidden or hostile instructions, unsafe scripts, suspicious frontmatter, credential exposure, exfiltration paths, persistence mechanisms, unauthorized network calls and other risks.

As a lawyer building legal AI tools from the practice side, I think the open ecosystem needs not only more skills and connectors, but also better ways to inspect and trust them.

Thanks to the Lawve AI team ( Malik Taiar - Antoine Louis) for reviewing and publishing it.

IA

Author

Ignacio Adrián Lerer

Argentine attorney with 35 years of practice in contracts, M&A, corporate law and compliance. I research adjudicative AI, legal-agent governance and computational law, focusing on authority, impartiality, traceability and effective human review. My peer-reviewed articles in the Journal of Computational Law and Legal Technology are Computational Detection of Constitutional Drift: Network Analysis and Semantic Measurement of Argentine Supreme Court Jurisprudence (1922–2025) and An Agent-Based Framework for Simulating Institutional Lock-in Under Repressive Regimes. I also publish an open research programme on Zenodo, most recently Machine-Legible Justice. Founder of JustitIA and IntegridAI, I build public legal-agent skills that turn professional methods and institutional safeguards into inspectable, reusable workflows.

View profile