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CIO Applications Weekly Brief

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Editor's Pick (1 - 4 of 8)
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Robotic Refactoring the Workplace

Robotic Refactoring the Workplace
Philip D. Heermann, Senior Manager, Sandia National Laboratories

Focus: Three Keys to Effectively Handling Technological Advancements

Focus: Three Keys to Effectively Handling Technological Advancements
Norbert Monfort, Vice President, IT Transformation and Innovation, Assurant Global Technology

"AI -The Future of Automotive Industry"
Nitin Sethi, Global IT Director - Business Transformation & Engagement, Visteon Corporation

WiFi Networks: Shifting from Providing a Service to Improving the Student Experience

WiFi Networks: Shifting from Providing a Service to Improving the...
Daniel J. Strojny, Interim Associate Director of Network and IT Operations, University of St. Thomas

Breaking the Stereotypes in the Development of AI

Breaking the Stereotypes in the Development of AI
Yves Jacquier, Executive Director, Production Studio Services, Ubisoft

Operationalize Machine Learning

Operationalize Machine Learning
Zongjie Diao, Director of Product Strategy and Management, Data Center Compute Group, CISCO

Where is AI Already Having an Impact on Business?

Where is AI Already Having an Impact on Business?
David Wirt, VP, ASEAN & Greater China, Pure Storage

Artificial Intelligence in the Biopharma and Healthcare Sector

Artificial Intelligence in the Biopharma and Healthcare Sector
Ronald Dorenbos, Associate Director Materials & Innovation, Takeda

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Can eDiscovery Get Smarter with AI?

By CIO Applications| Wednesday, January 08, 2020
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The evolving use of AI tools in e-discovery is powering firms to swiftly dig through the large volume of data with added savings on effort, time, and money.

FREMONT, CA: The volume of electronic information that has been generating challenges in eDiscovery is ripe for renewed attention in the present era. Advanced technology like Artificial Intelligence (AI) not only plays a significant role in mining data for use in business applications but also mitigates challenges associated with meeting eDiscovery needs.

AI-enabled tools that make judgments and offer analytical capabilities to help differentiate data and speed identification of information. During the eDiscovery process, AI can ingest and process physical and digital information and incorporate metadata from internal and external sources. This automates the identification step more efficiently and accurately than by using human resources. Getting information governance right ensures the remaining steps run smoothly.Top Artificial Intelligence Companies

One of the biggest issues in the eDiscovery process is possibly missing critical pieces of information. AI can find this hidden issue much faster at the onset of the discovery process. It helps to reveal relationships between disparate information assets. More importantly, AI also helps the organization in maintaining accurate data records. Using AI in the eDiscovery process also increases the efficiency of resources through a self-learning process. This is one of the key benefits of AI in the data collection process, saving organization time, effort, and money that would normally be spent on legal professionals to perform the same activity.

The review process in eDiscovery is crucial, and it is where the organization’s counsel reviews the relevant information to the case for ensuring that the firm’s legal privilege is maintained. AI views intelligently and interprets information to initiate appropriate actions. AI will also organize a large volume of data and give access to the materials when the firms need it. This proactive information governance makes the eDiscovery process easier and faster, and it also gives peace of mind for firms.

See also: Top eDiscovery Technology Solution Companies

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