Posted by Cathrine Thaning on Aug 9, 2018 5:17:05 AM

The legal industry is undergoing major changes and the use of new technology is reshaping the way lawyers work, interact, and share knowledge. Artificial intelligence (AI) has the potential to perform most tasks currently carried out by humans, which has left many legal professionals concerned about their future. Yet AI it is not about replacing lawyers or the expertise they have; it’s about using technology as a tool to optimize workflows and make more efficient use of lawyers’ time and knowledge.

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Topics: english, blogpost, text analytics, machine learning, AI, BAHR, artificial intelligence, legal industry, legal

Posted by Cathrine Thaning on Jun 28, 2018 2:45:52 AM

Advokatbransjen er i transformasjon og bruken av ny teknologi endrer hvordan advokater arbeider, samhandler og deler kunnskap. Kunstig intelligens har potensiale til å utføre store deler av oppgavene som i dag utføres av mennesker, noe som har ført til både uro og skepsis blant mange. Likevel handler det ikke om å erstatte advokatene eller ekspertisen de har, men heller om å ta i bruk teknologi som et verktøy for å effektivisere arbeidsprosessene, slik at advokatenes kunnskap og tid utnyttes bedre.

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Topics: blogpost, norwegian, text analytics, machine learning, kunstig intelligens, AI, BAHR, advokatbransjen

Posted by Cathrine Thaning on May 27, 2018 4:22:41 PM

I tråd med en rivende teknologisk utvikling i advokatbransjen øker kundenes forventning. Det handler om å være i forkant! Være foran kundens forventninger ved å gjøre teknologien til et verktøy som ikke bare endrer, men styrker forretningsprosesser og gir vesentlig økning av kompetansenivået.

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Topics: blogpost, norwegian, text analytics, machine learning, AI, BAHR

Posted by Wolfgang Flury on Apr 4, 2018 4:11:15 PM

Extracting meaning from words is about much more than a statistical numbers game, especially when it comes to Big Text analytics.

Meaning can be communicated in a million different ways. Consider idioms. It is estimated that idioms make up an average of 40- to 60-percent of text content. While "Joe kicked the ball" and "Joe kicked the bucket" are identical structurally, they have very, very different meanings. Just because I understand the first sentence doesn't mean I'll automatically understand the second. Far from it. 

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Topics: english, blogpost, text analytics, entities, context

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