Should arbitration begin with a mandatory AI assessment? A bold idea for the future of arbitration from LIDW 2026 proposes the move could improve efficiency, strengthen client relationships, and drive better outcomes.
Law firms invest heavily in legal technology, but few measure its real impact. Explore how to measure and track 3 key metrics—utilization, time spent on tasks, and time spent on matters—to determine legal tech ROI.
Discover essential and advanced use cases for AI in litigation from early case assessment to case strategy. Learn key considerations for winning adoption and selecting the right tools.
AI is changing how litigation teams analyze evidence, develop strategy, and deliver value to clients. Discover six expert insights on how law firms can prepare their people, platforms, and workflows for the next phase of AI in litigation.
AI adoption among arbitration professionals is growing. Explore five real-world use cases for AI in arbitration and how the new Ciarb Guideline on the Use of AI helps practitioners adopt AI responsibly—ensuring transparency, procedural integrity, and trust every step of the way.
Defensible AI in legal practice is not about faster answers alone. It is about transparency, traceability, and trust. Lawyers must be able to explain how AI supports decisions, verify sources, protect confidential data, and maintain human oversight.
AI is transforming legal case strategy by streamlining document analysis, identifying key evidence patterns, managing transcripts, and enhancing trial preparation. Learn how law firms can leverage AI to gain a competitive advantage.
Case strategy technology uses AI to help lawyers analyze evidence, test legal theories, and build persuasive narratives more efficiently. Explore why firms that adopt case strategy software are better positioned to deliver insight-driven advocacy and gain a competitive advantage.
AI in legal practice is now a reality, transforming how lawyers work. As the industry embraces this shift, true innovation will come from those who combine deep legal insight with autonomous thinking to create ethical, intelligent, and genuinely valuable technology.
The litigation teams at Paul, Weiss and Pillsbury are using AI in litigation workflows, transforming early case assessment by turning manual review into a faster, more insightful process. From document review to drafting and brainstorming, explore these real-world examples of successful AI use.