Expanding the Scope of Data Has the Potential to Slow Down Discovery and Increase Cost, But If New Data Types Contain Uniquely Dispositive Content, It Will Be Necessary to Include Them In Order to Achieve Just Determinations Data types evolve faster than law. New data types are expanding the scope of discoverable data. The variety, velocity and complexity of electronic evidence challenge legal processes and the technology-enabled legal applications that are designed to support them.
Cliff Dutton
Data types evolve faster than law. New data types are expanding the scope of discoverable data. The variety, velocity and complexity of electronic evidence challenge legal processes and the technology-enabled legal applications that are designed to support them.
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Most firms are aiming their newest tools at the work they already do — pouring their most powerful technology into running the same tasks a little faster. But when everyone automates the same tasks at once, no one pulls ahead. That reaches the future a little faster while leaving a firm’s largest opportunity untouched — and that opportunity isn’t doing more of the existing work, but transforming how the high-value work gets done.
AI is becoming both an accelerant and a distraction for cybersecurity. In many respects, AI is acting as a stress test for existing security operations by exposing how difficult many organizations still find it to enforce basic controls consistently at scale.
Artificial intelligence is rapidly embedding itself into legal workflows, but much of the conversation treats all use cases as if they carry the same level of risk, even if they do not. The more useful question is not whether AI works, but where it can be safely applied and where it cannot.
AI-savvy lawyering is already something that clients are starting to demand. The technology is capable; the challenge now is cultural and organizational change.
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