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2025 Emerging Trends in Antitrust

The antitrust landscape is shifting rapidly, and 2025 is shaping up to be another year of unpredictable regulation, evolving litigation trends, and complex data challenges. Legal teams must prepare for uncertainty—and take...more

State of AI in eDiscovery

Foreword - In the span of just one year, AI has moved from early exploration to pockets of true execution within the legal industry. While use of AI is by no means ubiquitous, the pace of adoption is occurring more rapidly...more

Is AI Too Expensive?

Is AI too expensive for document review? Read about the key issues raised in the current debates about the ROI of AI, including initial setup costs and quality control, and how you can assess the technology’s value for you....more

How AI Can Streamline HSR Second Requests

Summary: Second Requests, while challenging, are driving the adoption of cutting-edge AI technologies in legal document review. Discover how you can successfully utilize large language models (LLMs) and generative AI to...more

AI in eDiscovery: Outside Counsel’s Guide to Decoding Accuracy

Litigators and eDiscovery practitioners are facing a pivotal moment in the evolution of their practice groups with the fast-paced advancements in AI. Legal technology experts have long understood that responsibly developed...more

The AI Trust Test in eDiscovery [Video]

We are seeing increased optimism toward AI in eDiscovery. But as many platforms and solutions tout better and unprecedented results it’s still important to ask foundational questions about the technology: Can I trust the...more

From Data to Decisions, AI is Improving Accuracy for eDiscovery

You’ve heard the claims that AI can increase the accuracy of analytical tasks during eDiscovery. They’re true when the AI in question is being developed responsibly through proper scoping, iterative testing, and validation....more

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