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Discovery Databases

K&L Gates LLP

Litigation Minute: Putting Generative AI to Work in Discovery (Generative AI Series: Part Three of Three)

K&L Gates LLP on

What You Need To Know In A Minute Or Less Generative AI or “GenAI” is already transforming how we handle discovery in numerous ways, including:   Providing faster access to meaningful information and key documents to help...more

EDRM - Electronic Discovery Reference Model

Garden Variety: Byte Fed. v. Lux Vending

My esteemed colleagues, Kelly Twigger and Doug Austin, both posted about a recent discovery decision out of a federal district court in Florida, case no. 8:23-cv-102-MSS-SPF, styled, Byte Fed., Inc. v. Lux Vending LLC. and...more

A&O Shearman

Overcoming eDiscovery-Related Chat Data Challenges Part 5 review and disclosure

A&O Shearman on

In this fifth and final post in our blog series addressing challenges related to the discovery of chat data, our eDiscovery experts continue providing practical advice for businesses when encountering chat data in...more

Vinson & Elkins LLP

The Future of Generative AI Discovery Tools

Vinson & Elkins LLP on

The legal world recently learned an important lesson about the blind adoption of generative AI when two New York attorneys were sanctioned for using ChatGPT to write a brief that included entirely fabricated cases. The firm...more

EDRM - Electronic Discovery Reference Model

November’s Notable Cases and Events in E-Discovery

[Editor’s Note: This article was first published November 15, 2023 and EDRM is grateful to Tom Paskowitz and Robert Keeling of our Trusted Partner, Sidley, for permission to republish. The opinions and positions are those of...more

TransPerfect Legal

Three Ways a Multi-Matter Repository Improves E-Discovery Efficiency

TransPerfect Legal on

A multi-matter repository (MMR) is a processing database that houses electronically stored information (ESI) that is potentially relevant to more than one matter. Sharing and repurposing past work for present and future...more

Association of Certified E-Discovery...

There Is No One-Size-Fits-All Sample Size Appropriate for TAR Validation (Part I)

At some point eDiscovery practitioners seem to have tacitly agreed that sample sizes for TAR validation testing should generally be taken using a 95% confidence level (CL) and, usually, a 2% to 5% confidence interval (CI)....more

Proskauer on Privacy

District Court Rules That Smartphone Passcodes Are Testimonial; Protected by Fifth Amendment

Proskauer on Privacy on

In Securities and Exchange Commission v. Huang, the district court held that the Fifth Amendment protected two former employees against having to disclose their personal passcodes for company-issued smartphones to government...more

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