Sentences with phrase «does predictive coding»

Firstly, what does predictive coding do differently than keyword searching?

Why do predictive coding proponents have the burden of proof to rebut the presumption that predictive coding is unreliable?

Apr. 18, 2013)-RRB-(«Biomet I»), the court refused to require the responding party to do predictive coding on the entire corpus of its documents, instead allowing it to rely on the keyword searching it used initially to filter the material prior to predictive coding.

Not exact matches

In pretty much all matters it's worth doing some testing to see if predictive coding will be helpful.

So, picking up on the ECA and predictive coding themes, I don't think technology will eliminate review lawyers.

We've been working with a range of clients, including regulators, law firm partners and corporate legal teams to help them understand: first, the predictive coding process as a whole from start to finish, and what that looks like for their particular matter; and second, some basic elements such as precision and recall, so they don't get bogged down in the nuts and bolts of the data science.

Or predictive coding that requires far fewer lawyer hours to do eDiscovery work and allows them more time to explore and test new opportunities with their clients.

RF: I don't draw that big a distinction between ECA and predictive coding.

The bottom line: I don't believe we're anywhere near the Hal 9000 / Space Odyssey scenario or a comprehensive predictive coding process eliminating the use of attorneys during the review.

Ari: [29:16] Joe, on that point, it was interesting, when we were doing the research, that 88 percent of the people, both in - house counsels and law firm lawyers, wanted to learn more about measuring and understanding the effectiveness of predictive coding.

It has been widely publicised that the Pyrrho decision did not involve a contested use of predictive coding: the parties had agreed upon its use and were seeking the court's approval.

Whether we call these software programs «predictive coding,» «technology - assisted review» or something else entirely, how do you know that they are right for you as a cautious and risk - averse in - house lawyer?

«Legal teams are eager to use predictive coding and reduce the overall cost of e-discovery, but they will only do it if it's defensible,» said Barry Murphy, founder of the e-Discovery Journal.

As stated above, small cases do not make good predictive coding candidates.

But it does not do true TAR or predictive coding, as I understand it.

He then explains predictive coding in its simplicity: to feed a computer program information based on discovery attorneys have already done until the computer can accurately predict which information is important.

If that does not inspire GCs to make the investment to rebut the predictive coding unreliability presumption, what will?

My first thought: predictive coding should be one screening tool — but like artificial intelligence, it is «artificial» — at some point, there are subtle issues that even humans view differently — don't reasonable people disagree?

All of the panelists agreed that whether or not predictive coding is being used on a matter, keywords / search terms still have a useful place in the e-discovery process, as do other analytics tools including de-duplication and email threading.

The court evaluated 10 factors in favor of use, including proportionality, and did not list a single factor weighing against the use of Predictive Coding.

For these types of matters, predictive coding can help get the job done quickly, while analytics can offer the confidence that the company's response is thorough.

Vound prides itself on offering features that get the job done and not in marketing to industry catch phrases such as predictive coding, Information governance or cyber security.

A predictive coding platform, when applied and managed correctly, can and will do a much better job of finding relevant documents within your data set than a keyword search possibly could.

Many legal teams don't have the time or energy to build a case for why a predictive coding tool is necessary, so they stick with the status quo.

According to Exterro's 2015 Federal Judges Survey on E-Discovery Best Practices and Trends, 45 % of the responding judges said that they only «somewhat agreed» that predictive coding is employed with regularity in cases, while 41 % didn't agree with the statement at all.

He uses predictive coding to learn human behaviour, then applies this to what he learns and assimilates feedback to learn from what he does.

Lowry acknowledges that not every lawyer will need to write prose and code, but they do foresee the need to complement next - generation lawyers with these skills, in addition to being able to apply a deeper level of understanding of core technology such as DLT / blockchains, machine learning, and predictive analytics.

He looks for innovation above all else, noting that while all firms might say they're innovative, he checks things such as if e-discovery is done the old - fashioned way or whether they have the capacity to leverage AI and predictive coding.