Practice area
Artificial intelligence
Adopting an artificial intelligence tool is a legal decision before it is a technical one. Who authors the output, what data went into training it, who owns the development you commissioned.
I work with companies, universities and public bodies so that those questions are settled before deployment rather than after the dispute. The whole framework is Argentine law: Act 11.723 on intellectual property, Act 25.326 on personal data protection, and each institution’s own rules.
Artificial intelligence governance
I draft the internal rules of use: what may and may not be processed in a generative tool, who is the author of what it produces, how it is cited and how it is audited. In universities and research bodies that includes academic integrity policy and ownership of work produced with AI assistance.
The point that is almost never settled: if an employee or a research fellow uses a generative tool to produce something in the course of their work, ownership depends on what the contract or the internal regulation says. If it says nothing, the question stays open.
- Internal policies on the use of generative tools
- Ownership of AI-assisted output
- Contract clauses for staff and research fellows
- Academic integrity and citation rules
- Review of vendor terms of service
- Personal data protection framework
Technology compliance and intangible assets
An audit of what the organisation already holds and what it is about to adopt: unregistered trademarks, undeposited software, commissioned developments with no assignment agreement, third-party licences nobody read. The assessment produces a plan with priorities and costs, to be filed before the INPI and the National Copyright Office.
The biggest gaps show up in software commissioned from third parties and in the use of open source code. A poorly chosen licence can force you to release your own development.
- Inventory of intangible assets
- Software and open source licence audit
- Clean-up of pending trademarks and deposits
- Development and assignment agreements
- Patent database analysis
- Protection plan with priorities and costs
Protocols and technology transfer
Codes of good practice, responsible-use protocols and the agreements that hold together the relationship between a university and a company: confidentiality, ownership of results, royalties and publication terms. This is where public research meets private interest, and where badly drafted agreements stall entire projects.
- Codes of good practice and ethical protocols
- Technology transfer agreements
- Non-disclosure agreements
- Ownership of results and royalties
- Publication and dissemination terms
- Project structuring
Why me
The field is moving, and this is exactly where I trained
My LLM at George Washington University, completed under a Fulbright scholarship, focused on artificial intelligence, blockchain, internet law and data privacy. Alongside that runs my work in technology transfer and project structuring within the GTEC Network, which is where these debates actually land in a real university or a real company.
This is not a subject I read up on to fill a web page.
About to deploy something?
The most useful consultation is the one that arrives before the vendor contract is signed or the internal policy is published. Tell me what stage you are at and we will work out what has to be settled first.