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Code Red: AI Trade Secrets Lessons from the Google Verdict | Live Webinar + On-Demand Course Access
Rapid expansion of generative AI has increased trade secret disputes involving data sourcing, model training, and algorithmic protection. Recent verdicts in major technology litigation highlight heightened evidentiary and compliance risks for counsel.
In this CLE webinar, attorneys will examine how trade secret law applies to AI system development and deployment, including evidentiary standards for proving misappropriation, valuation of algorithmic assets, and discovery challenges in tracing training data and model inputs. The program also addresses litigation strategies, risk mitigation frameworks, and compliance practices for protecting proprietary information in technology-driven organizations, offering practical guidance for advising clients in emerging AI disputes.
Learning Objectives:
- Analyze trade secret protections in AI training and deployment contexts
- Evaluate evidentiary standards in AI-related misappropriation claims
- Assess damages methodologies for algorithmic and data-based assets
- Develop compliance strategies to reduce IP exposure in AI systems