Automation of higher-level jobs is accelerating because of progress in computer science and linguistics.
Some Companies that offer e-discovery
Tom Mitchell, chairman of the machine learning department at Carnegie Mellon University in Pittsburgh. “We’re at the beginning of a 10-year period where we’re going to transition from computers that can’t understand language to a point where computers can understand quite a bit about language.”
The US government is using more advanced versions and more hardware of the same capabilities to analyze large volumes of documents for counter terrorism and other purposes.
Engineers and linguists at Cataphora, an information-sifting company based in Silicon Valley, have their software mine documents for the activities and interactions of people — who did what when, and who talks to whom. The software seeks to visualize chains of events. It identifies discussions that might have taken place across e-mail, instant messages and telephone calls.
Then the computer pounces, so to speak, capturing “digital anomalies” that white-collar criminals often create in trying to hide their activities.
The shift from manual document discovery to e-discovery would lead to a manpower reduction in which one lawyer would suffice for work that once required 500 and that the newest generation of software, which can detect duplicates and find clusters of important documents on a particular topic, could cut the head count by another 50 percent.
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