LawTechnologyToday

FEBRUARY 1, 2022

This increase in complexity and volume required a different set of professional skills needed for litigation practitioners that combined an intimate knowledge of both the litigation process and how technology can be used to drive efficiencies in the e-discovery process. Automation.

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Everchron

DECEMBER 14, 2023

Our latest post dives into the world of artificial intelligence advancements in e-discovery, specifically focusing on the use of LLMs for document review. The experiment had two phases: An initial pass by GPT-4, based on the same instructions provided to the attorney reviewers who performed the original review.

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LawTechnologyToday

DECEMBER 9, 2022

Slowly but surely” may be an apt phrase to describe the results from the 2022 ABA Legal Technology Survey Report covering Litigation Technology & E-Discovery. Software for Litigation & E-Discovery. Every Wednesday, we’ll be posting a new report from one of our experts, so stay tuned!

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LawTechnologyToday

FEBRUARY 5, 2021

It is not possible to talk about eDiscovery or document review heading in to 2021 without mention of technology-assisted review. In its broadest use as a technical term, TAR can refer to virtually any manner of technical assistance. and, more recently, TAR 3.0. The TAR Landscape.

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LawSites

FEBRUARY 25, 2022

Company founder and CEO John Tredennick formerly founded the e-discovery company Catalyst, one of the first cloud-based discovery platforms and one of the first to develop advanced technology-assisted review. While these claims might seem audacious, they come from a team with a proven track record.

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LawSites

JUNE 16, 2021

E-discovery company Casepoint is today introducing enhancements to CaseAssist, its AI-based active review technology, and to its analytics and classification tools, that it says give users more insight and control over the review process, including enhanced visualization capabilities and configuration templates.

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InHouseOps

MARCH 12, 2021

First, let me say that we’ve come a long way in the discovery process, and this question highlights that fact. When Iinitially got involved with discovery, and really electronic discovery (although, from my experience, you can drop the word “electronic,” because it’s all discovery.

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InHouseOps

JULY 25, 2022

Going beyond the more widely used predictive coding solutions for eDiscovery, there are several other AI tools available that can automate and improve different areas of practice. Advanced tools can detect sentiment, communication patterns, and hidden connections in ways that search terms and traditional TAR or CAL workflows may not.

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InHouseOps

MARCH 26, 2021

Alex Chatzistamatis, senior principal enterprise architect with Nuix, discusses the ways that technological advancements like machine learning and artificial intelligence are shaping the future of e-discovery and other areas of the legal profession. These days, we call it CAL, continuous active learning.

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LawTechnologyToday

FEBRUARY 8, 2021

Legal document review is often viewed as the most expensive part of eDiscovery, and many attorneys believe that there’s no way around it. If you hold that belief too, then I have good news for you: Document review doesn’t have to come with such a high price tag. Inefficient processes tend to add up and increase eDiscovery bills.

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InHouseOps

MARCH 18, 2021

CCBJ: ECA is a nebulous term that has been widely used to describe certain early-stage challenges and processes in e-discovery and investigations. It’s a single platform for all ECA and investigation needs and takes users seamlessly to full review, including advanced technology-assisted review, and production where required.

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