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  4. LGPD, AI, and Data Governance in Legal
Legal Operations KPIs Brazil chapter

LGPD, AI, and Data Governance in Legal

Practical metrics for responsible innovation and scalable compliance

AI adoption is creating new responsibilities for legal teams, especially around privacy, confidentiality, oversight, and accountability. At the same time, LGPD compliance cannot be treated as a completed project. It requires continuous monitoring, updated controls, recurring awareness, and a strong privacy culture.

In this session, Daniel Failla, Partner at Failla Lima Advogados, will explore how legal departments and law firms can strengthen AI, privacy, and data governance practices. The discussion will focus on practical guardrails for responsible AI use, ongoing LGPD compliance, and better data governance models that allow teams to extract value from information while preserving trust, quality, and confidentiality.

Takeaways

• Understand why AI is now a compliance responsibility, not just an innovation topic.
• Define practical guardrails for AI use, including human oversight, confidentiality controls, vendor review, and accountability.
• Treat LGPD compliance as an ongoing process, not a one-time project.
• Strengthen privacy monitoring through updated controls, recurring awareness, and clear ownership.
• Use data governance to support better legal intelligence while protecting privacy, confidentiality, and data quality.
• Move from isolated controls to a more consistent, monitored, and value-driven governance model.
Daniel Failla Daniel Failla Partner Failla Lima Advogados
Data Wednesday, January 27, 2027
Time 7:00 PM – 8:30 PM GMT-3
Location Remote
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LGPD, AI, and Data Governance in Legal
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LGPD, AI, and Data Governance in Legal · Brazil Capítulo

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