Sentences with phrase «at predictive coding»

Now that you've had primer on review, our next section looks specifically at predictive coding, a technology - driven process that many people see as the future of e-discovery review.

Take a look at the predictive coding Linkedin group, which held some promise but is now nothing more than a repository for people to post links to stuff.

Not exact matches

The DNNs are based on predictive coding theory, which assumes that the internal models of the brain predict the visual world at all times and that errors between the prediction and the actual sensory input further refine the internal models.

And most lawyers will still want to vet predictive coding with humans, at least on a sampling basis.

LegalTech's recurring themes, at least for me, of eDiscovery, predictive coding and storing and using information in the cloud are all about content, accessing and delivering content in efficient ways.

«Predictive coding is an automated method that credible sources say has been demonstrated to result in more accurate searches at a fraction of the cost of human reviewers.»

The eDiscovery industry is saturated with new whitepapers, blog posts, and webinars regarding Technology Assisted Review and Predictive Coding, which, at times, can be more confusing than helpful.

at 8): «When used together, proportionality and predictive coding provide a viable, long - term solution to the problems and opportunities of the legal search of Big Data.»

[5] Ralph Losey, ibid., at 25, states that predictive coding (a variety of TAR) was slow to be used by U.S. lawyers until the decision of Magistrate Judge Andrew J. Peck on Feb. 24, 2012, in, Da Silva Moore v. Publicis Groupe 287 F.R.D. 182 (S.D.N.Y. 2012), approving the use of predictive coding, listing justifications.

[4] See: Ralph C. Losey, «Predictive Coding and the Proportionality Doctrine: A Marriage Made in Big Data» (2013 - 14), 26:1 Regent University Law Review 6 at 25 - 30.

Fortunately for many doc review attorneys, software hasn't completely eliminated the need for human reviewers, and predictive coding raises at least two important issues for attorneys: (1) their legal obligations to conduct a reasonable search for responsive documents under federal discovery rules, and (2) their ethical obligation to safeguard a client's privileged information.

By reducing the volume of data requiring attorney review, predictive coding offers the promise of significant cost savings where expenditures are at their highest (i.e., review).

Finally, and perhaps not obviously at all, lawyers also work with technology — not simply word processing and email, but software for document generation, electronic discovery, predictive coding and technology assisted review, analysis by rules - based expert systems, blockchain.

At a high level, predictive coding develops a set of features used to distinguish between relevant («R») and non-relevant («NR») documents.

Predictive coding is the most recent attempt at taming the electronic data behemoth that presents itself as millions of pages for review.

I would argue that although having an opponent at the table is going to be a non-starter, the courts should be much more carefully examining whether they actually have a sufficient understanding of predictive coding methodology and performance to make a proportionality ruling under Rule 26, since, as the Da Silva court noted, the court's ability to okay its use is rooted in part in the proportionality rule.

If you are among those attending the annual conference this week of the International Legal Technology Association, you could have a shot at winning $ 100 cash on the spot and other technology products — and also learn how Catalyst's Insight Predict gives you the power to succeed with e-discovery search and review like no other predictive coding tool.

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?

It is important to understand that Master Matthews's description of predictive coding software (at paragraphs 19 to 24) is only one type of predictive coding workflow.

When respondents were asked for their perspectives on AI and its effect on the legal industry, 71 % predicted it would have the biggest impact on electronic discovery in the areas of case assessment and predictive coding (TAR), coming in next at 41 % was document automation, followed by legal research (40 %), contract analysis / automation (34 %), and case / outcome prediction (24 %).

Essentially, predictive coding itself serves as a culling tool, by scanning data to determine what is likely responsive and what is not, to arrive at a set of data that is at least worthy of review, if not ready to produce.

In fact, predictive coding shows tremendous promise outside of the litigation bubble altogether, as an information governance tool allowing organizations to proactively code, categorize and filter documents at the point of creation.

At the most basic level, predictive coding is a «machine learning» process that involves using software to take information entered by people and applying that logic to much larger data sets.

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.

By Michael Roach at 12:26 PM in Cases: Verdicts, Settlements, Rulings, Predictive / Computer - aided Coding, Products, Deals, Alliances Permalink Comments (0) TrackBack (0)

Predictive coding will be used less reactively and more proactively with other business intelligence technology at the front end instead of at the back end.

By Monica Bay at 10:20 AM in Books, Commentary & Analysis, Institutes & Think Tanks, Judicial Conference - Rules, Judiciary, Predictive / Computer - aided Coding, Preservation & Legal Holds, Product Review, U.S. Supreme Court, White Papers Permalink Comments (0) TrackBack (0)

Specifically, the judge, in that case, permitted the use of predictive coding for that review, a general term that at that time referred to programs that used algorithms to determine whether documents are relevant to a case.

And the issue is likely to gain traction as machine learning and predictive coding become more sophisticated, particularly since with deep learning (which learn autonomously), algorithms can reach a point where humans can often no longer explain or understand them, says Nicolas Vermeys, assistant director at Cyberjustice Laboratory in Montreal.

With the introduction of applicant tracking software (ATS) that uses coding and predictive equations to screen out applicants, combined with the ever - tightening job market and an influx of qualified candidate, chances of your resume even getting in front of a decision maker are lower than ever.