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PRACTICE 03 — AI GOVERNANCE

Your firm is already using AI.

The question is whether you can document how, demonstrate that it's being used responsibly, and explain the decisions it influenced. Governance is what makes that possible.

WHAT WE DO

Responsible AI adoption — operational controls, audit, and oversight.

Generative AI is now embedded in day-to-day legal work. Drafting, research, summarization, document review, intake screening, marketing. Most firms are using it whether they've authorized it or not — and most have no documented usage inventory, no audit trail, and no way to answer the question "how did you arrive at that?"

LTD helps law firms and legal departments build the operational side of AI governance. We start with a baseline inventory — what tools are being used, by whom, for what — then collaborate with firm leadership on an operational framework tied to the firm's technology environment, then implement the technical oversight mechanisms that produce a record without slowing the work.

Carlos serves on the Florida Bar's Special Committee on Artificial Intelligence and previously chaired the Florida Bar Standing Committee on Technology. His book AI for Legal Practice is forthcoming 2026. That perspective informs how LTD designs operational and technology frameworks. Questions of legal ethics and rule interpretation remain matters for each firm's own counsel.

ENGAGEMENTS
What we deliver
  • AI usage audit & baseline assessment
  • Written AI policy & procedures
  • Vendor risk review (LLM tools, eDiscovery AI)
  • Confidentiality & client data analysis
  • Bias, accuracy & hallucination testing
  • Audit logging & oversight design
  • Attorney technology training
  • CLE on AI in legal practice
METHODOLOGY

From shadow IT to governed practice.

Most firms can move from informal AI use to a documented posture in a single quarter. The goal is visibility and oversight, not restriction.

STEP 01
Discovery & baseline
Confidential interviews and a usage inventory. Where is AI being used today, in what tools, with what data? No blame, just visibility.
STEP 02
Risk mapping
Map use cases against confidentiality, accuracy, bias, and disclosure risks. Identify which require policy, which require training, which require both.
STEP 03
Policy & procedure
Written AI policy tailored to firm size and practice areas. Vendor list, approved/prohibited use cases, escalation paths, client disclosure language.
STEP 04
Oversight & audit
Logging, periodic review, attorney technology training. The result is a record that demonstrates supervised, responsible use.
ENGAGE

Ready to govern what your firm is already doing?

A short discovery call establishes where you are today and how big the gap is between current practice and a documented AI posture.

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