Legal Tech Roundtable Part 1: Cybersecurity and Data Governance

Summary: This webinar will address the intersection of cybersecurity, data governance, and artificial intelligence with a focus on the practical challenges young lawyers face daily. Data governance is  underpins everything from client confidentiality to ethical AI use. It is not an abstract IT concern. This program brings data governance to the forefront, examining scenarios where governance failures create cybersecurity risk, ethical exposure, and privilege waiver:

1. Data Governance as the Core Cybersecurity Discipline: What data governance actually means for lawyers. The relationship between data governance, cybersecurity, and professional conduct obligations under NY Rules of Professional Conduct and ABA Model Rules. Why "governance" is not just an IT problem but an ethical duty.

2. Building with AI Bots, or Don't Test in Prod: The risks of using AI tools to generate code, build apps, or create client-facing tools without proper data governance. How AI models may retain, train on, or expose sensitive client data. Practical guidance: what young lawyers should know before using AI in DIY application development, or any development.

3. AI Agents in Negotiations:, or Privilege Issues: How AI agents used in negotiations with counterparties create data governance and privilege risks. The challenge of maintaining attorney-client privilege when AI tools are involved in communications. AI-generated prompts in the discovery context and their privilege implications. Strategies for safe AI use in deal-making and dispute resolution.

4. Data Rooms in Discovery: How data governance determines whether virtual data rooms protect or expose privileged information. Best practices for data preservation, metadata management, and cross-border discovery challenges. The role of information governance policies in managing data across its lifecycle.

5. Building Your Data Governance Framework: Practical steps for young lawyers to implement data governance in their practice. Policies for AI use, vendor risk management, incident response planning. How to talk to partners and clients about data governance.