Hybrid eDiscovery Workflows: Balancing Emerging Technologies & Proven Processes
For a while now, eDiscovery teams have been told they need to choose a side: embrace new, GenAI-driven automation or stick with the proven workflows that have underpinned the industry for more than a decade. We’re starting to see that the truth is actually far more balanced — and far more practical.
QC Hasn’t Changed — And That’s the Key to Understanding GenAI Review
In many of the conversations we’re having, it seems that people don’t quite realize that when GenAI is used in document review, the QC process that validates the results is still essentiall the same as it always has been. In fact, it’s been consistent the whole time. Whether we had rooms full of reviewers, deployed TAR or CAL, or now incorporate generative AI, our QC checkpoints, metrics and human-oversight guardrails remain consistent.
The End of the Road: Preparing for the Relativity Server Sunset
Let’s be honest — nobody wants to think about migration projects. They’re complex, time-consuming, and rarely anyone’s favorite part of the job. But with Relativity Server officially sunsetting in 2027, it’s time to start thinking about what comes next. Even if you’re not ready to make a move yet, now is the right time to take stock and understand your options.
The Current State of AI Skepticism: An Industry Survey.
From “If We Build It…” to “Where Does It Actually Help?”
If We Build It, Will They Come? A Cautious Perspective on Legal AI
The question around AI in the legal industry isn’t whether it can be useful—it clearly can. The real question is how best to use it. In fields like law, where precision and judgment are essential, it’s not about finding “magical” solutions but practical, dependable applications that can support legal professionals in their day-to-day work. At lucent, that’s what we’re looking for.