Matthew Golab

Matthew Golab

EDRM - Electronic Discovery Reference Model

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[Webinar] Are You Using the EDRM MIH to Identify Email Duplicates? If Not, You Should Be! Real Life Use Cases to Save Time & Cost...

...Have your lawyers ever needed to rapidly triage emails already reviewed with emails received from other parties and it was just too expensive to reprocess all of the data to identify duplicates. If so, this webinar is for...more

7/19/2024  /  Data Collection , Discovery , Discovery Costs , e-Discovery Professionals , Electronically Stored Information , Email , Legal Technology , Webinars

GPT and Generative AI: How It Works, the Risks and How It Impacts the Legal Profession and Legal Services?

[Editor’s Note: EDRM is grateful to Matthew Golab and Susan Bennett of EDRM Trusted Partner, InfoGovANZ, for permission to republish this article, first published on April 6, 2023.] 2023 appears to be well and truly the year...more

4/18/2023  /  Artificial Intelligence , Data Collection , Discovery , e-Discovery Professionals , Electronically Stored Information , Legal Technology , Machine Learning , Technology-Assisted Review

[Webinar] Global Market Intro to EDRM's "Cross Platform Email Duplicate Identification" - March 13th, 7:00 pm - 8:15 pm ET

You are invited to join EDRM’s Email Duplicate Identification Global Project Team as they share how they have solved the painful and oftentimes expensive process of duplicate identification across emails processed by multiple...more

3/6/2023  /  Algorithms , Data Collection , Data Sets , Discovery , e-Discovery Professionals , Electronically Stored Information , Email , Legal Technology , Metadata , Webinars

[Webinar] Global Market Intro to EDRM's "Cross Platform Email Duplicate Identification" - March 13th, 4:00 pm - 5:15 pm ET

You are invited to join EDRM’s Email Duplicate Identification Global Project Team as they share how they have solved the painful and oftentimes expensive process of duplicate identification across emails processed by multiple...more

3/6/2023  /  Algorithms , Data Collection , Data Sets , Discovery , e-Discovery Professionals , Electronically Stored Information , Email , Legal Technology , Metadata , Webinars
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