AI

Why 2026 Will Be a Turning Point for AI in Legal Technology

From proactive assistants to intelligent search, AI in legal technology is shifting fast. Here’s a look at the trends redefining productivity and insight in 2026.

Webinar Reveals How AI in eDiscovery is Transforming Legal Practice

Catch up on KLDiscovery’s recent webinar about AI in eDiscovery to learn how the technology is changing legal workflows. Learn about its impact on areas like contract analysis, document review, case research, and compliance monitoring.

How Your Team Should Tackle Discovery Obligations in the AI Era

Learn how to adopt best practices and stay compliant on discovery obligations in the face of AI.

A Playbook to Evaluate Matter Management Software and Vendors

Matter management software promises clarity, but choosing the right platform requires a disciplined process. This playbook shows how to assess needs, vendors, and impact.

How GCs Can Get Ahead of California’s Transparency in Frontier Artificial Intelligence Act

Discover how to get your organization compliant with California’s Transparency in Frontier Artificial Intelligence Act.

Workiva’s Josh Gertsch Talks AI Readiness, Risk, and Legal Judgment (Part 1)

SPONSORED BY WORKIVA: Read the first part of this exclusive interview in which Josh Gertsch discusses AI readiness, data security, and legal judgment.

2025 Legal Ops Predictions Revisited and What’s Next

Which legal ops predictions were hits or misses in 2025, and what do they reveal about artificial intelligence, growth, and consolidation heading into 2026?

What Legal Ops Needs to Know About Generative AI and Agentic AI

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.

AI Agents Are an Emerging Insider Risk Companies Can’t Ignore

Discover how AI agents are reshaping enterprise security and creating insider threat concerns. Learn about automation risks and governance gaps concerning delegated authority.

Sorry, AI-Driven Machine Learning Is Not an Easy Button for Record Classification

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.

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