Another Word For It Patrick Durusau on Topic Maps and Semantic Diversity

February 24, 2015

Big data: too much information

Filed under: BigData,Law,Law - Sources — Patrick Durusau @ 11:50 am

Big data: too much information by Joanna Goodman.

Joanna’s post was the source I used for part of the post Enhanced Access to UK Legislation. I wanted to call attention to her post because it covered more than just the legislation.gov.uk site and offered several insights into the role of big data in law.

Consider Joanna’s list of ways big data can help with litigation:

Big data analysis – nine ways it can help

1 Big data analytics use algorithms to interrogate large volumes of unstructured, anonymised data to identify correlations, patterns and trends.

2 Has the potential to uncover patterns – and opportunities – that are not immediately obvious.

3 Graphics are key – visual representation is the only clear and comprehensive way to present the outcomes of big data analysis.

4 E-discovery is an obvious practical application of big data to legal practice, reducing the time and cost of trawling through massive volumes of structured and unstructured data held in different places.

5 Can identify patterns and trends, using client and case data, in dispute resolution to predict the probability of case outcomes. This facilitates decision-making – for example whether a claimant should pursue a case or to settle.

6 In the UK, the Big Data for Law project is digitising the entire statute book so that all UK legislation can be analysed, together with publicly available data from legal publishers. This will create the most comprehensive record of all UK legislation ever created together with analytical tools.

7 A law firm can use big data analytics to offer its insurance clients a service that identifies potentially fraudulent claims.

8 Big data will be usable as a design tool, to identify design patterns within statutes – combinations of rules that are used repeatedly to meet policy goals.

9 Can include transactional data and data from external sources, which can be cut in different ways.

Just as a teaser because the rest of her post is as interesting as what I quoted above, how would you use big data to shape debt collection practices?

See Joanna’s post to find out!

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