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. In this narrower sense, TAR often comes with a version number – TAR 1.0,
LawTechnologyToday
DECEMBER 9, 2022
The largest group of respondents to the Litigation Technology & E-Discovery Survey (32%) practice at firms with 2-9 attorneys while 10% of respondents are solo attorneys and 25% are at firms with 10-49 attorneys. The results of the survey thus skew slightly more towards mid-size and smaller law firms.
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Paralegal Bootcamp
APRIL 29, 2021
is the understanding of preserving, processing, reviewing, and producing electronically stored information (ESI). If your profession includes anything related to litigation (paralegal, attorney, support staff, technology person, project manager, etc.), Advances in Technology. Ediscovery.
LawTechnologyToday
FEBRUARY 1, 2022
A document repository that contains not only the content of a document but the metadata, along with memorializing attorney analysis on each document, is an important element to the litigator’s toolbox. Creating a robust document repository also allows for the reuse of client documents and attorney work product.
The Relativity Blog
JULY 23, 2024
Document review has changed. Attorneys must confront dense forests of data to uncover what matters quickly, and doing so without a little help from AI has become exceedingly difficult.
Law 360
SEPTEMBER 26, 2023
Courts often subject parties using technology assisted review to greater scrutiny than parties conducting linear, manual document review, so parties using large language models for document review should expect even more attention, along with a corresponding need for quality control and validation, say attorneys at Sidley.
Everchron
DECEMBER 14, 2023
[{"content":{"text":" [A review of a recent Law.com article " Replacing Attorney Review? Sidley's Experimental Assessment of GPT-4u2019s Performance in Document Review ," by Colleen M. A second pass refining those instructions with feedback on the initial pass, akin to the QC step in a traditional review.
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