Law Expertise to Skill Converter

IA
Ignacio Adrián Lerer

1 min read 14 views

Glad to share that Lawve AI has approved a new skill I developed: Law Expertise to Skill.

This specific skill is designed for a concrete purpose: helping lawyers, law firms, and legal teams transform their own professional expertise into a structured AI skill.

It is not about writing a single “good prompt.” It is about converting real legal knowledge — practice criteria, checklists, red flags, decision flows, review standards, and accumulated professional judgment — into reusable, auditable, and more governable instructions.

The idea behind the skill is that a major part of legal AI’s value will not come only from models, but from the ability to capture and structure situated legal expertise.

This also connects with several recent conversations and open-source efforts around legal AI infrastructure, institutional knowledge, and agentic legal workflows, including exchanges with Arkadiy Miteiko, Antti Innanen, and Will Chen.

Thank you to Lawve AI (Malik Taiar - Antoine Louis) for approving it and for creating a space where the legal community can build on this new layer of infrastructure.

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.

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