kCura: easy workflow wins with text analytics

I missed the recent kCura webinar about the use of text analytics in discovery. It was called Quick wins in analytics, and will doubtless be re-run at some point.

The subject was, apparently, the highest-rated session at kCura’s recent Relativity Fest and covered specific analytics topics like clustering for quick batching, keyword expansion, and concept search. Fortunately, the points which were discussed are covered in some detail in a blog post by kCura’s Constantine Pappas called Easy workflow wins with text analytics.

Whilst aimed primarily at existing Relativity users, I offer it to you because it helps to explain to others, including those who not familiar with the concept, what text analytics involves in eDiscovery. The world has moved on in the last two to three years, and lawyers trying to extract the relevant and important documents from ever-increasing volumes now have a wide range of analytical tools to help them.

The article gives you some idea of the range of functions offered by such tools and might encourage you to arrange a demonstration.

On the subject of kCura, there is a meeting of the New York Relativity User Group on 20 January about review strategies. You can register for that event here

About Chris Dale

I have been an English solicitor since 1980. I run the e-Disclosure Information Project which collects and comments on information about electronic disclosure / eDiscovery and related subjects in the UK, the US, AsiaPac and elsewhere
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