Remove Data Management Remove Diligence Remove eDiscovery
article thumbnail

Top Technology Trends for Transactional Lawyers

LawTechnologyToday

This increase in complexity and volume required a different set of professional skills needed for litigation practitioners that combined an intimate knowledge of both the litigation process and how technology can be used to drive efficiencies in the e-discovery process. Kate Jansons Johns is the Litigation Support Manager at Nutter.

Metadata 100
article thumbnail

How to Stay Organized During the Discovery Process

CARET Legal

Legal teams must now grapple with terabytes of data where once there were only boxes of paper documents. This exponential increase in data volume necessitates new approaches to data management and analysis. Diversity of Data Sources The sources of data have diversified significantly.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

How to Stay Organized During the Discovery Process Copy

CARET Legal

Legal teams must now grapple with terabytes of data where once there were only boxes of paper documents. This exponential increase in data volume necessitates new approaches to data management and analysis. Diversity of Data Sources The sources of data have diversified significantly.

article thumbnail

Five Ways That Artificial Intelligence and Machine Learning Are Transforming Legal Practice

Cenza

The 2019 State of -Discovery Report produced by FTI Consulting and Exterro estimates that the amount of data managed by law firm and law department IT staff has increased five-fold in just the last 5 years. Quite simply, AI/ML technology is the best tool we have in our toolbox in order to stay afloat in the sea of data.

Legal 69
article thumbnail

Use Emerging Technology to Advance Strategic Imperatives

InHouseOps

This is a new offering that can be ideal for lawyers handling the same type of matters repeatedly, like employment disputes or M&A due diligence. When an organization is set up for use of pre-built NLP AI models, it can get through the basic due diligence much faster, leaving more time to focus on higher value input.