At ILTACON 2025, the Knowledge Management session titled How to be a Data-naut and Untangle Data-knots highlighted how bringing data systems together has become more critical than ever. Saveelah Janjua from Bloomberg Law, Mark Thorogood from Perkins Coie, Amanda Keith from Litera, and Kelli Whitnell, a firm intelligence consultant, discussed how law firms are working hard to unlock the full potential of their data, but they often run into the challenge of breaking down silos and creating a single, reliable source of truth. The panelists shared their thoughts on data governance, trust, and the need for a clear data strategy.
One of the biggest takeaways from the session was the importance of standardizing data before diving into any major projects. Mark Thorogood pointed out that centralizing data, like storing it in a data warehouse, can make the entire process much smoother. Without this foundation, firms risk creating a messy cycle of confusion that slows progress and muddies decision-making. This standardization becomes even more critical when considering the human elements that drive successful data initiatives.
The discussion also touched on the human side of data management, with Amanda Keith emphasizing that trust and company culture often outweigh even the best strategies. When data is scattered across multiple systems, it's hard to pinpoint which version is accurate. This lack of trust can lead to conflicting interpretations and poor decisions. Building a culture where trust and transparency are prioritized is key to overcoming these hurdles. To address these challenges effectively, firms need the right tools and approaches.
Data mapping came up as a must-have tool for dealing with the complexities of modern data systems. Mark compared it to having a map for a sea voyage, essential for avoiding missteps and staying on course. By mapping out how data flows and connects across systems, firms can ensure their data strategy aligns with their broader business goals. This mapping process becomes even more powerful when combined with proper context and explanation of the data itself. Another highlight of the session was the role of metadata. Saveelah stressed how business metadata can help bridge the gap between technical details and real-world outcomes. This kind of context makes it easier for teams to understand and trust the data, while also enabling AI tools to interpret it more effectively. However, having the right tools and context means nothing without the right people driving these initiatives forward.
The session wrapped up with a focus on people, as Kelli encouraged firms to tap into the strengths of their team members, empowering them to become champions for data initiatives. By fostering collaboration and giving employees the tools they need to succeed, firms can build momentum and ensure their data strategies are implemented effectively.
In the end, the session drove home the importance of having a clear, well-thought-out data strategy. Standardization, trust, and effective data mapping are the building blocks for turning fragmented data into a powerful resource. By focusing on these elements, firms can unlock the full potential of their data and use it to achieve their business goals.