AI
Discover how to get your organization compliant with California’s Transparency in Frontier Artificial Intelligence Act.
SPONSORED BY WORKIVA: Read the first part of this exclusive interview in which Josh Gertsch discusses AI readiness, data security, and legal judgment.
Which legal ops predictions were hits or misses in 2025, and what do they reveal about artificial intelligence, growth, and consolidation heading into 2026?
The difference between generative AI and agentic AI is that generative AI creates content on demand, while agentic AI acts autonomously. Here is why it matters.
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.
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