Corporate mandates to cut legal spend are accelerating. And many teams are responding the same way.

Buy an AI tool. Deploy it fast. Expect savings. But “AI-first” doesn’t automatically mean “savings-first.”

AI is only as good as the data behind it, and while automation can accelerate review and surface issues, it isn’t responsible or accountable for outcomes; that accountability stays with human experts who use high-quality inputs and sound judgment to make strategic decisions that stand up in the real world.

Join Juristat CEO Lauren Bonner and LegalBillReview.com President Ryan Loro on Wednesday, March 25, at 12:00 PM EST for a practical discussion on how to capture real savings without betting your budget on black-box outputs.

This is not an “AI will replace your team” webinar. It’s a conversation about building an AI program you can defend, measure, and improve. We’ll discuss:

• Why AI-only patent spend programs underperform, even when adoption looks strong
• How data quality determines AI value, and what “good inputs” actually mean in patent workflows
• Where automation helps most, and where human accountability must stay in the loop
• How attorney-led bill review, augmented by technology, captures savings without damaging firm relationships
• A practical framework to evaluate vendors, validate AI claims, and implement tools without creating new risk

If you’re an in-house legal team being pushed to cut outside counsel fees while also being pushed to “implement AI,” this session will help you choose smarter tools, set better expectations, and realize savings that show up in the numbers.