The legal industry is experiencing a digital boom. With more than 9,000 legal technology companies worldwide, firms now rely on an average of 300 different software systems to stay competitive. But the tools meant to make firms smarter are also making them slower. Each new platform adds another layer of disconnected data—creating silos that quietly erode efficiency, collaboration, and profitability, as explained in more detail below:
When data is trapped in disconnected systems, employees waste valuable time searching for the right information. They must sift through multiple platforms, often encountering duplicative or conflicting data. In fact, a McKinsey Study demonstrates that employees spend up to 30% of their workweek just searching for information to execute their work functions.
Workflow inefficiencies directly translate into higher costs. It’s estimated that data silos cost U.S. businesses approximately $1.8 trillion annually. The longer employees spend locating and verifying data, the more billable hours are lost. Additionally, clients may bear the brunt of these inefficiencies through higher legal fees. Connected data access isn’t just a convenience—it’s a cost-saving necessity.
Siloed data creates barriers between departments, making collaboration difficult. Cross-functional teams struggle to align when they’re working with incomplete or inconsistent information. This misalignment can lead to miscommunication, project delays, and decreased overall firm productivity, as evidenced by a Harvard Business Review study, which explained that 67% of department collaboration failures are due to silos.
CI connects and unifies data from disparate systems, combining proprietary CI data, firm databases, and over 11 external integration partners to create a single-source-of-truth for people, companies, and matters. When your data is clean, connected, and centralized, every decision becomes sharper and every workflow smoother.
Contact us at rlf@courtroominsight.comto learn how CI can transform your firm’s data connectivity. And stay tuned for the final installment of our Data Conundrum Series, where we’ll explore the Data Conundrum At-Large.
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