AI
Discover how AI agents are reshaping enterprise security and creating insider threat concerns. Learn about automation risks and governance gaps concerning delegated authority.
Learn why machine learning is not a practical strategy for record classification. The universe of records within most organizations is far larger and more varied than these tools can handle.
Although GenAI is reshaping legal discovery, defensibility, validation, and ethical standards remain central to responsible adoption by legal teams.
Read why threat actor security risks are accelerating as large language models are increasingly manipulated to automate exploitation of vulnerabilities at scale.
As AI reshapes operations, legal teams need a defensible AI governance framework. Explore this blueprint for building one.
At CMU’s Legal AI Summit, legal ops leaders unpacked why hype is outpacing the reality of legal AI adoption and why integration planning must be prioritized.
Read how AI Policy summaries can help compliance teams move approvals faster by clarifying changes and context, reducing review fatigue across complex approval chains.
A new era of AI cyber risk emerges as agentic systems conduct cyber-espionage at scale, forcing compliance, legal, and security teams to rethink governance, liability, and controls.
AI smart glasses are moving fast from novelty to workplace tool, forcing risk leaders to confront biometric privacy, surveillance exposure, and escalating regulatory liability.
A new White House executive order on AI policy advances a national framework, targeting conflicting state laws and reshaping compliance obligations.
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