Predictive coding case study with Millnet and Eversheds

I wrote recently about a short podcast about predictive coding which I made with James Moeskops of Millnet.  We have now done another one, this time with Dominic Lacey and Jamie Tanner of Eversheds.

The context was provided by an exercise which Millnet did with Eversheds in a Commercial Court matter for which predictive coding was seen as the most practical and cost-effective way of dealing with very large volumes of documents. It was one of the exercises which I wrote about in my article Two predictive coding case studies emphasise time and cost savings. The motivation to use predictive coding software (Equivio Relevance in this case), came, as Dominic Lacey explains, from the very high number of false positives which were returned by keyword searches.

Eversheds is one of the more forward-thinking firms in the use of technology for litigation and for other matters where large document volumes are encountered, and the interview, which I moderated, was a good way of hearing about it from the horse’s mouth.

Short podcasts like this – it runs for only 19 minutes – provide a painless way of absorbing news and information. You can link to the podcast from Millnet’s page about it here. That links also to a transcript of the interview and to Millnet’s own article about the case study.


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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