Sentences with phrase «document review technology»

«Predictive coding» is a document review technology that allows computers to predict particular document classifications (such as «responsive» or «privileged») based upon coding decisions made by those knowledgeable as to the subject matter.
In the last five years document review technology has undergone significant growth and development.
Australian law firm Corrs Chambers Westgarth and Canadian AI start - up, Beagle, have launched a joint venture designed to market document review technology to the firm's client...

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When reviewing the documents, whenever there was only a vague description using the word technology or the phrase technology integration, these items were placed under a general categorization of «Use of technology for pedagogy purposes,» due to the definition of that category («Technology Assists With Teaching»), as no clear intention for use can be inferred from either the single word technology or the phrase technology integration, these items were placed under a general categorization of «Use of technology for pedagogy purposes,» due to the definition of that category («Technology Assists With Teaching»), as no clear intention for use can be inferred from either the single word technology integration, these items were placed under a general categorization of «Use of technology for pedagogy purposes,» due to the definition of that category («Technology Assists With Teaching»), as no clear intention for use can be inferred from either the single word technology for pedagogy purposes,» due to the definition of that category («Technology Assists With Teaching»), as no clear intention for use can be inferred from either the single word Technology Assists With Teaching»), as no clear intention for use can be inferred from either the single word or phrase.
This technical document examines the opportunities and constraints associated with the development of second - generation biofuels in the ESCWA region, based on a review of existing environmentally sound technologies that can be accessed by small and medium - sized enterprises.
This technical document provides a brief review of the benefits from various agriculture - based practices and technologies that have the potential to increase food production and the adaptive capacity of the food production system, as well as reduce emissions or enhance carbon storage in agricultural soils and biomass, focusing in detail on empirical evidence concerning costs and barriers to adoption, both from household and project - level data.
This document is divided into five sections, namely: (i) a description of landfills in Latin America and the Caribbean and environmental aspects related to its construction and operation, (ii) a description of the generation of biogas from landfills (iii) a summary of existing technologies for the construction of biogas plants and their economic implications, (iv) a review of the practices of other multilateral development banks and countries regarding financing of landfills and biogas plants, and (v) the proposed approach IDB to finance biogas plants.
A path - breaking analysis published in the Harvard Law and Policy Review that documents the radical improvements to low - carbon technologies needed to meet humanity's growing energy needs and the kinds of policies needed to secure them.
In March, Kira also signed a deal with Deloitte, allowing the Big Four accountancy firm to use its machine - learning technology to review documents related to M&A deals, investigations and contract management.
Sean Pike, IDC's eDiscovery and Information Governance Program Director, says the market for eDiscovery vendors is rather saturated in the United States, and prices are decreasing as technology improves the document review process.
As its name suggests, TAR uses technology to assist in the process of reviewing electronic documents for discovery.
The Ringtail document review platform delivers advanced technology for the most mission - critical and costly steps of e-discovery.
Rather than manually reviewing the huge volume of resultant records, Defendants paid H5 to employ its proprietary technology to sort these records into responsive and non-responsive documents.
For as long as e-discovery lawyers have been using technology assisted review, a belief has persisted that it can not be used economically or effectively in small cases of, say, 5,000 or 10,000 documents.
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.
Predictive coding, referred to by Judge Peck as «TAR» (technology - assisted review), is the use of computer algorithms and machine learning to complement document review by lawyers.
Insight Predict, Catalyst's second - generation technology assisted review engine, helps speed investigations by quickly honing in on relevant documents, without the need for expensive review teams.
Irish law firm McCann FitzGerald has chosen Kira Systems to provide legal AI software for due diligence and document review work, making it one of the few European * law firms to embrace the technology so far.
That is why we believe that a well - trained team, using the best available technology and combination of technological tools, can provide high quality, cost - effective document review.
The traditional law firm model, driven to its logical extreme, is busting its gears and jumping its track at the worst possible time: clients are ready to impose unilateral retainer conditions, competition from non-traditional law offices, non-lawyers and overseas lawyers is gathering steam, and technology that can automate, systematize and rationalize law firm cash cows like due diligence and document review is here.
Technology can not only automate the hours of review but also make the output more digestible, delivering a hierarchical, interactive reporting dashboard rather than a Word document.
Further, technology means that more documents are retained, which means that there's more to review.
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.
This technology learns from human document reviewers and automatically reviews and classifies documents accurately with significant cost savings.
«The new Concordance load feature in Attenex Patterns dramatically streamlines and improves the e-discovery and document review process for our clients,» said Tom Hall, managing attorney of discovery and litigation technology at Cleary Gottlieb Steen & Hamilton LLP.
Their peer - reviewed research paper, «Evaluation of Machine - Learning Protocols for Technology - Assisted Review in Electronic Discovery,» also showed that using random documents was the least effective method for training a TAR system.
So I do not anticipate that traditional lawyer functions such as research, opinion letters, motions / briefs, or even meaningful document review could be replaced with technology.
Non-law-firm providers of legal services (i.e. consultants and LPOs) have been some of the fastest adopters of legal technology, and accordingly have been able to win large chunks of «unbundled» legal work (largely document reviews) by diverting in - house legal department spend that had previously been earmarked for law firms.
The more sophisticated technology used, and the more techniques employed to save review time (such as segregating documents that are most likely responsive or potentially privileged), the more sophisticated processes will be needed.
«There are opportunities to help bring this technology in - house for companies that don't have large legal teams, and save them hundreds of hours per year in manual document review,» Combs explains, then adds that Boston, their base, is home to many fast - growing tech businesses.
Technology tools have enabled law firms to do more with less, facilitating the transition from pouring through file cabinets to conducting fast electronic review of documents.
«From early case and data assessments to investigations and document review, legal teams around the globe rely daily on FTI Technology to help them conquer massive data volumes and demanding deadlines.
review of documents for discoverable or otherwise relevant information, generally referred to as technology - assisted review (TAR).
«Our hybrid approach to document review requires lawyers to be trained not only on the legal issues in the litigation but also in advanced search technology and analytics.
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 colleReview») 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 collereview 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.
In turn, this technology may level the playing field for solo or small firm practitioners who historically have not been able to hire legions of lawyers to conduct document review.
Ms. Raney is an attorney licensed in Arizona with years of experience in the areas of eDiscovery and litigation, including technology aided document review in many complex civil litigation cases using such document review platforms as Catalyst ®, Kroll Ontrack ®, Ringtail ®, Concordance ®, Clearwell ®, Relativity ® and Summation ®.
Scott Kane in Predictive Coding Technology Continues to Gain Traction in Legal Document Review provides an overview of the training and coding process.
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Esquify employs machine learning technology to modernize the manual portion of legal document review.
Use technology to identify the languages contained within a data set and the documents that will require foreign language review.
In a technology assisted review (TAR), a key concern for some is whether the algorithm has missed important relevant documents, especially those that you may know nothing about at the outset of the review.
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Contract lifecycle management will become the new document review, in terms of pursuit of operational effectiveness, cost - efficiency, and proliferation of sophisticated technologies to support it.
Previously a partner at K&L Gates in Seattle, she helped found the firm's e-Discovery Analysis and Technology (e-DAT) Group and develop Patterns document review software created by Attenex.
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Its desire to leverage technology to provide client value prompted Dorsey to find a litigation support technology to manage various document reviews and productions that originate from the firm's New York office and are likely to require teams spanning Dorsey's offices globally.
Technology advancements are moving review away from the manual document - by - document inspection described above to a more analytics based approach, where computers can basically determine whether a document is relevant or not with little human intervention.
Law firm with commitment to delivering high quality le gal services in a timely and costeffective manner looking for cutting - edge technologies and technology services to manage document reviews and productions that originate from the firm's New York office and span to other offices.
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