EJ Bastien leads the Litigation Support function in Microsoft’s Litigation group and is a 2025 AI Visionary. Back in the day, he played guitar for a number of DIY bands—and his creativity still shines in his legal tech career.

Case strategy is the crux of litigation, tying scattered facts into a persuasive, defensible story. Historically, it has meant spreadsheets, sticky notes, long hours, and pure grit and tenacity. But generative AI offers a new and better way.

Generative AI has rapidly evolved from a buzzword to a transformative force in the e-discovery industry. In a recent fireside chat, industry experts shared their experiences with AI-driven review tools.

We’re advancing RelativityOne by further investing in our extensibility and emerging agentic architecture, putting the power of AI in your hands, and fostering even more innovation within our community.

The same familiar, reliable statistical metrics used on TAR projects can be calculated to validate generative AI results in document review–and those calculations are easier to do, earlier, than you might think.

Now is a formative time for your career, and getting comfortable with AI is an essential way to give your path an upward trajectory. Luckily, 2025 isn’t over yet—and there’s a great opportunity, just a few weeks from now, to pack a bunch of learning into what’s left of it.

For Alvarez & Marsal, early adopters of Relativity aiR for Review, a recent case offered the ideal opportunity to compare the quality as well as cost of generative AI for review (with remarkable results).