It is the first technology - assisted review software to offer real -
time predictive coding, showing the impact each training document has on relevance scores immediately when it is reviewed.
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.
For instance, in «Document Review», a lot of
time is to be saved in reviewing by using
predictive coding, but some of the gains must be reinvested in classifying an appropriate sample and in training the system.
This was the first
time this client had used
predictive coding, and illustrates how it can benefit any size matter when applied strategically.
Well worth your
time to read because many of the basic questions on
predictive coding have already been asked and answered.
Whereas many
predictive coding technologies of the past simply counted the number of
times each word appeared in each document, CNNs read the document word by word; an ability that is groundbreaking for
predictive technologies like ediscovery document review.
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.
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.
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.
Where, as here, petitioners reasonably request to use
predictive coding to conserve
time and expense, and represent to the Court that they will retain electronic discovery experts to meet with respondent's counsel or his experts to conduct a search acceptable to respondent, we see no reason petitioners should not be allowed to use
predictive coding to respond to respondent's discovery request.
«Technology is evolving all of the
time and technology assisted review /
predictive coding is the hot subject.
TAR tools, including
predictive coding, can be used to review information in real
time.
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.
In addition, the
time and cost savings that
predictive coding software can provide to attorneys and clients is invaluable.
In his opinion, Magistrate Judge Treece specifically noted that, «With the advent of software,
predictive coding, spreadsheets, and similar advances, the
time and cost to produce large reams of documents can be dramatically reduced... the Court is more convinced than ever that [the subpoena] is not... an overwhelming and incomprehensible burden.»
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.
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.
During an interview with Law Technology News, Tom Groom discusses how using
predictive coding or technology assisted review (TAR) «can be an incredible cost - and
time - saver» for legal teams, but it is not «an easy button.»
Using our «Expert Systems» for automated issue
coding (also called
predictive coding) makes a huge difference to plaintiffs» counsel in terms of cost, quality and
time spent for high - volume document review projects.
Document review accounts for a considerable portion of attorney
time and money, but our automated issue
coding, also known as
predictive coding, uses cutting edge high technology to streamline this process with technology assisted review (TAR).
Applying advanced analytics and
predictive coding to foreign language reviews can be tricky and many providers default to linear review which can be more
time consuming.
There is sufficient
time before trial to consider other methods of review if the
predictive coding turns out to be unsatisfactory;
FTI Persuades Canadian Competition Bureau to Allow Document Processing with
Predictive Coding For the First
Time in Canada 11/3/2015
Plaintiffs argue that TAR and / or
predictive coding is a more sophisticated tool than the traditional search term or search query approach, and that using that suggested approach would save
time and money for both sides.»
Our consultants are experts in using sophisticated tokenization to make CJK
predictive coding more accurate and less
time consuming.
Analytics workflows (
predictive coding, technology assisted review, email threading and near - duplication, etc.) have been proven overwhelmingly to save
time and money and to improve quality of review.
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.
While
predictive coding has been proven to drastically decrease the
time and expense of document review, like any technology - driven process, it requires an upfront investment and deployment of a new tool.
Machine learning and
predictive coding in e-discovery are only the beginning of technology's impact on the legal system: Law is the ultimate digital product, and this will be borne out in
time.
These e-disclosure options save clients
time and money by providing the best tools to organise and decode large volumes of documents with the added benefits of sophisticated search protocols and
predictive coding.
E-discovery software with data analytics capabilities (including functionality like auto - classification,
predictive coding, and TAR, for example) have been available for quite some
time now.
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time management
As NewScientist reports, the new
predictive coding software could «sift through millions of documents and spit out only those the lawyer might need, saving them
time and — crucially — their clients» money.»
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.
We like
predictive coding anyway, so as long as the
timing is doable, there might be the basis of a workable compromise here.
Some proponents of
predictive coding are lobbying for a sweeping, landmark
predictive coding decision, and
predictive coding is now prevalent enough that its intersection with the inadvertent production of privileged information is just a matter of
time.