Sentences with phrase «on predictive coding»

To get a comprehensive update on predictive coding watch this on - demand webcast with predictive coding expert Ralph Losey, Predictive Coding 3.0.

A new post spotlights key details on the predictive coding jurisprudence from 2016.

In 2014, experts and vendors were still pumping out webinars on predictive coding, information governance and social media discovery.

Atlanta partner and E-Discovery Practice Leader Ronni Solomon, Discovery Center senior staff attorneys Ed Logan and Jennifer Mencken, and Discovery Center Director of e-Discovery Project Management and Client Services Rose Jones have co-authored a chapter in the book «Perspectives on Predictive Coding and Other Advanced Search Methods for the Legal Practitioner,» published by the American Bar Association.

This book provides a set of perspectives on predictive coding and other advanced search techniques, as they are used today by lawyers in pursuit of e-discovery, in investigations, and in other legal contexts, such as information governance.

Interestingly, although the case comes just less than a year after U.S. Judge Peck's latest opinion on predictive coding in Rio Tinto Plc v. Vale S.A., it provides no reference to that ruling.

For more on predictive coding, see the October 2010 eDiscovery Institute Survey on Predictive Coding (PDF) and my colleague Foster Gibbon's July 2010 Integreon blog post, The Future of Automated Document Review.

I disagree with the conclusions on predictive coding.

There was a big focus in the last year on predictive coding solutions, social media, mobile devices, and the upcoming Federal Rules of Civil Procedure (FCRP) amendments.

Recent cases that demonstrate varying judicial perspectives on predictive coding's role in e-discovery

In eDiscovery, discussions about «artificial intelligence» generally focus on predictive coding — the machine learning process that reduces the time human reviewers must spend reading non-relevant information — by teaching the software to analyse periodic human feedback, learn for itself what information reviewers are actually interested in, and then locate that information.

From discussions on predictive coding workflow, to collaboration and streamlined processes, respondents explicitly asserted the need for high - quality third party professionals.

There was a big focus in the last year on predictive coding solutions, social media,...

In the survey, the most commonly cited reasons for not adopting it, among those familiar with their company's stance on predictive coding, were: concerns about accuracy (62 per cent); difficult to defend (57 per cent); cost (57 per cent); concerns about privilege / confidentiality (54 per cent), and difficult to understand (53 per cent).

What are your thoughts on predictive coding?

We recently posted insights from Melbourne - based FTI Technology director Phil Smith on predictive coding adoption in Australia.

Well worth your time to read because many of the basic questions on predictive coding have already been asked and answered.

Paul is a PhD - qualified mathematician with more than a decade of commercial software development experience and has provided expert witness testimony on predictive coding methodology.

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.

Not exact matches

Once code is set up to port data within a predictive model, one can also automate that model's visualization and capitalize on it as a moneymaker.

These variables are an important reminder as to why it is critical that clients beginning to leverage predictive coding work with experts to advise on which methods make the most sense for a matter's unique needs.

Likewise, for cases that involve a mix of hard copy documents and electronic documents, it is better to deal with the hard copy documents manually, and use some form of predictive coding on the electronic documents to balance the manual work with a highly efficient approach for the digital portion.

On a practical level, Vogl pointed out that many law firms are working with vendors using machine learning and predictive coding for e-discovery.

In Hyles v. New York City, 2016 WL 4077114 (S.D.N.Y. Aug. 1, 2016), Judge Peck wrote on an issue that has become his trademark - the use of predictive coding in e-discovery.

Judge Peck has released well - known decisions on the topic, including Da Silva Moore v. Publicis Groupe, 287 F.R.D. 182 (S.D.N.Y. 2012) and Rio Tinto PLC v. Vale S.A., 306 F.R.D. 125 (S.D.N.Y. 2015), and has been a vocal advocate of expanding the use of predictive coding.

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

But one other relatively new development has an even more direct affect on the contract attorney market and we have discussed it many times: the rapid move toward predictive coding technology and machine review.

I'm going to quickly touch on some key components of using technology - assisted review, or TAR, or predictive coding in some of the interfaces that you may see in your products that you're using today.

I'm currently working on a large matter in Australia that involves testifying to how the predictive coding was applied and the validity of the results.

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

Progressing from screening for keyword to predictive coding in which algorithms use predictive analytics to determine the most relevant documents based on search

As NSU explains, «This course provides hands - on experience for students on a number of key operational aspects of the practice of law, including the business foundation of successful law firm management; security and confidentiality of client information; marketing, public relations, advertising and social media; duties of technological competence under ABA «Ethics 20/20» amendments to the Model Rules of Professional Responsibility; predictive coding and other eDiscovery issues; client intake and case management; and issues related to the scope and composition of representation, including the unauthorized practice of law and unbundled legal services.»

On the D4 blog and other blogs penned by experts in the e-discovery and litigation support fields, predictive coding, TAR, CAR — all powered by predictive analytics — has gotten tremendous coverage, especially over the last year.

Pursuant to the legal authorities which I have cited supra, and with particular reference to the albeit limited Irish jurisprudence on the topic, I am satisfied that, provided the process has sufficient transparency, Technology Assisted Review using predictive coding discharges a party's discovery obligations under Order 31, rule 12.

It was an informative gathering with lively roundtable discussions amongst peers on interesting e-discovery topics such as: judges ordering the use of predictive coding, indexing data by concepts, the practicality of co-operation and disclosure of predictive coding to opposing counsel, whether it's possible to conduct privilege reviews using predictive coding and even securing executive buy - in for «spring cleaning» data remediation projects.

Clients benefit from efficient e-discovery services; saving costs on large, complex litigation cases by using predictive coding.

- 31) 5.2 Introduction 5.3 Market Segmentation 5.3.1 By Solution 5.3.2 By Deployment Type 5.3.3 By Service Type 5.3.4 By Vertical 5.3.5 By Region 5.4 Evolution 5.5 Market Dynamics 5.5.1 Drivers 5.5.1.1 Focus on Decreasing Operational Budget of Legal DEPArtments 5.5.1.2 Global Increase in Litigations 5.5.1.3 Stringent Policy and Compliance Regulations Worldwide 5.5.1.4 Increase in Mobile Device Penetration and Usage 5.5.2 Restraints 5.5.2.1 High Cost Associated With E-Discovery Solutions and Services 5.5.2.2 Contradiction Between Data Protection and E-Discovery 5.5.3 Opportunities 5.5.3.1 Rise in Demand for Predictive Coding 5.5.3.2 Increased Usage of Social Media Websites 5.5.4 Challenges 5.5.4.1 Less Awareness About E-Discovery 5.5.4.2 Increase in Cross-Border E-Discovery

In litigation, Nelson explains that predictive coding technology can be used to rank and then «code» or «tag» electronic documents based on criteria such as «relevance» and «privilege» to help reduce time spent on page - by - page lawyer document review.

His primary focus in recent months has been on the UX for Lexis DiscoveryIQ, a new eDiscovery enterprise software platform from LexisNexis that reimagines how and when predictive coding is used in the workflow.

It sought advice from lawyer and e-discovery expert Conor Crowley, who suggested that using predictive coding on the documents would be more effective and efficient.

Case study examples of predictive coding and analytics working together on a Second Request, internal investigation and for trial prep

In this ideal, corporations could conduct predictive coding in a defensible manner, reduce the costs of e-discovery while keeping internal control of the process, and rely on a service provider partner to constantly innovate on the technology.

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.

And that's before we start to venture into the territory of the top end of eDiscovery software and the vendors supplying predictive coding systems based on NLP and machine learning.

With the emergence, and apparent judicial acceptance, of predictive coding and the certainty of greater technological advancements on the horizon, attorneys will be well - served to understand and embrace these changes as they come.

Predictive Analytics (also called «Predictive Coding» or «Technology Assisted Review») is a workflow that requires a subject matter expert to review a small subset of documents in order to train the system on what the human is looking for until the system can statistically «predict» how the human would code the rest of the collection.

Predictive coding continues to make inroads in eDiscovery demonstrating that software analysis is more accurate and faster that hordes of associate lawyers clicking on documents on screens.

Additionally, since the predictive coding program relies on the judgment of the senior attorney who trains it, the outcomes are likely to be more consistent and accurate than if an attorney hires multiple individuals who are less familiar with the facts to review the documents.

With predictive - coding, the software delivers results based on keywords that are set by seasoned attorneys, and then the software can be tweaked to improve accuracy over time.

[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.