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How artificial intelligence can optimize your eDiscovery process

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Jeffrey Wolff |November 2, 2016|Read time: 1 min

Techniques from the world of Artificial Intelligence (AI) are rapidly finding their way into today’s business practices: they are being used to accelerate the speed and efficiency of organizations’ internal processes. The main reason for their success is that after several decades of research, AI techniques are not only allowing us to process enormous amounts of data 24/7 at staggering speed, but today’s AI techniques are also consistently performing on par with (and often even better and more consistently than) humans. This results in revolutionary productivity gains.

Machine Learning, Natural Language Processing (NLP) and similar techniques like data- or text-mining, big data-analysis, predictive coding, Technology Assisted Review (TAR), concept search, topic modeling, clustering, audio search and machine translation are all Artificial Intelligence techniques and can be used to identify specific document categories and to search for relevant information in these documents.

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Accelerate the eDiscovery process

ZyLAB’s complete end-to-end eDiscovery solution incorporates various AI-techniques to enhance the speed and efficiency of eDiscovery practices and other legal processes. In traditional litigation and arbitration (eDiscovery) projects, Artificial Intelligence is used for the automatic identification of relevant documents. Basing its identification on results from sample documents, AI can automatically cluster and classify documents into relevant groups and sub-groups and carry out a direct search of the content of images and videos without the need to add textual descriptions.

Automated machine translation technology is used to quickly translate all information up front so that it can be tagged and reviewed in ZyLAB’s highly intuitive review platform. This way, relevant data is quickly uncovered and critical information can be routed for specialized human translation if needed.

 

Larger toolset 

But AI has a much larger tool-set which can be used for almost all legal practices dealing with large data volumes. AI-techniques are great accelerators for the speed and efficiency of legal processes such as:

  • Mergers & Acquisitions and Large Corporate Transactions;
  • Legal fact finding, fraud and internal investigations;
  • FOIA and Public Records disclosures;
  • Redaction for data protection.

If you want to learn more on how various AI-techniques can increase efficiency and automation in many different legal fact finding missions, please watch the webinar “AI in eDiscovery – Going Way Beyond TAR & Predictive Coding”.

Jeffrey Wolff
Jeffrey Wolff is a Certified E-Discovery Specialist who joined ZyLAB in May 2015 and serves as Director of E-Discovery Solutions. He brought with him over 20 years of experience in Information Systems and enterprise software. He has been involved in solution architecture, design, and implementation for major projects within the Department of Defense and Fortune 1000 corporations.

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