“Legacy system” gets used like a diagnosis. Once a firm reaches for that phrase, the conversation tends to jump straight to replacement: a new platform, a new vendor, a new multi-year project. But the label does not always fit. The real scope of the issue is often narrower and far more fixable than one may…

Most operational models are judged by a simple standard: do the workflows function as intended? Processes are defined, systems are connected, and under standard conditions, everything appears to work. The matter opens, the conflict clears, the invoice goes out. By that measure, the firm looks more operationally sound than before. But that standard only reflects…

Most law firm modernization efforts begin with a focus on connectivity. Systems are integrated, data flows are established, and on the surface, the firm appears more aligned than before. CRM connects to practice management, time feeds into billing, and documents move through shared workflows. This is meaningful progress, and it reflects an important shift away…

Most law firm modernization efforts start at the same place: time entry. The assumption is straightforward. If attorneys capture more of their time, revenue increases. So firms invest in better interfaces, mobile tools, and reminders designed to make timekeeping easier and more consistent. And to a point, that works. But in 2026, capturing time is…

Most legal tech conversations right now are focused on the wrong question. Firms are asking what AI can do. The more important question is what AI is actually able to act on inside your environment. That distinction sounds subtle. In practice, it is the difference between experimentation and real operational advantage. From Information to Execution…

At Intapp Amplify 2026, much of the discussion around AI felt noticeably more grounded than in years past. The focus was less on disruption narratives and more on how AI can be applied responsibly within the realities of professional services firms. One idea surfaced repeatedly: the perceived tension between generative AI and enterprise platforms may…

“Making Knowledge Work” is a practical idea because in most organizations, the problem isn’t missing information. It’s lost continuity The right answer usually exists. Work slows down at re-entry: decisions buried in inboxes, context scattered across individuals, documents fractured into multiple “final” versions. The cost isn’t just time spent searching, it’s duplicated effort, unnecessary restarts,…