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AI in Legal Practices:
Unlock Multilingual Data, Minimize Risk, Streamline Processes
How machine learning algorithms can unlock relevant areas of information and streamline the legal processes from multilingual litigation to governance to patent translation and filing
1 Hr. CLE Credit
Moderator: Scott Sinclair, Customer Success Manager, Park IP, Welocalize
Jen Farnham, Board of Directors, ARMA, Sacramento Chapter
Alex Yanishevsky, Director of AI Deployments, Welocalize
Data volumes continue to grow at exponential rates, and big data is an issue across almost every legal function. This continued surge in data drives the legal industry to examine ways of leveraging technology for streamlining tasks and creating more efficient and intelligent platforms for collaboration. AI-enabled language solutions trained for specific industries can retrieve, process, and translate huge amounts of multilingual information in a consistent way, especially for areas involving high volumes of multilingual content such as patents, e-discovery, social media, and knowledge bases. Although analytics and predictive coding technologies are language-agnostic, it can be a challenge to manage search and review workflows across multiple language sets without expert guidance and appropriate technology solutions. In this CLE-credit webinar, Park IP, a Welocalize company, will share how machine learning algorithms can unlock relevant areas of information and streamline the legal processes from multilingual litigation to governance to patent translation and filing.
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