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Experts share their experience and insight on the evolving acceptance and use of AI and advanced analytics tools for e-discovery — and beyond.
The volume of electronic information that has been creating risks in e-discovery for more than a decade is ripe for renewed attention in the era of artificial intelligence (AI) and advanced analytics. Just as advanced tools now play a role in mining data for use in business pursuits, they can also be used to mitigate what in the past has plagued those charged with meeting litigation and investigation e-discovery needs.
5 Quick and Easy Ways to Hack Your Business Development
By Ari Kaplan
The most popular justification for avoiding business-development activities is a lack of time. There are, however, a number of strategies that will allow you to execute and produce results in minutes — or even seconds.
Legal Tech: How E-Discovery Trends Are Reshaping E-Discovery Teams
By Nishad Shevde
E-discovery, as an industry, is once again at an inflection point. What are the big trends that are exerting pressure on e-discovery teams today — and more importantly, what will an effective e-discovery team look like in the coming years?
Fourth Quarter Educational Events to Stay on Track
By Nina Cunningham
A review of upcoming programs and events that bring together many of the most active professionals in the field and its various branches.
When Key Employees Quit: 5 Things You Must Do to Keep Control of Critical Data
By Michael Ciaramitaro and Sarah Brown
Losing a key employee is never easy — they often take with them institutional knowledge, great internal and external relationships, and critical skill sets. There is also a risk that they’ll take some information or data with them when they go, either inadvertently or on purpose.
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