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Machine Learning Evidence e-Discovery

EDRM - Electronic Discovery Reference Model

The Future is Now: Why Trial Lawyers and Judges Should Embrace Generative AI Now and How to Do It Safely and Productively

Introduction: The Urgency and Promise of Generative AI in Law - The unprecedented rapid advancement of generative artificial intelligence (AI) worldwide presents the legal profession with a pivotal opportunity for...more

Rumberger | Kirk

New AI Rule, Old Standard: Proposed Federal Rule of Evidence 707 Aims to Apply Daubert Standard to AI-Generated Evidence

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In response to the rapidly increasing presence of AI-generated outputs in litigation, on June 10, 2025, the U.S. Judicial Conference’s Advisory Committee on Evidence Rules approved for publication for public comment a...more

EDRM - Electronic Discovery Reference Model

Enhancing Discovery with Alchemy Textract: How AI-Powered OCR Captures Handwritten Notes and Poorly Scanned Documents

In today’s legal landscape, investigations and discovery often involve processing thousands of complex documents. Traditional Optical Character Recognition (OCR) technology struggles with the varied document types legal...more

Pagefreezer

What Is Technology Assisted Review (TAR)?

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In a world where more than 2.5 quintillion bytes of data are created every day, the eDiscovery process isn’t only complex and time-consuming, but it can be extremely costly as well....more

EDRM - Electronic Discovery Reference Model

The Final Challenge: How GenAI Crafted BP’s “Impossible” Closing Argument

Over the past few months, we’ve been exploring how generative AI can transform trial preparation by analyzing complex litigation materials and producing sophisticated closing arguments. Our series began with an exploration of...more

EDRM - Electronic Discovery Reference Model

Creating a Compelling Argument in the BP Trial: Government Plaintiffs’ Closing

Our exploration of generative AI in trial preparation has demonstrated how Large Language Models can analyze complex materials to generate sophisticated closing arguments. We began by showing how to overcome traditional LLM...more

Array

This Week in eDiscovery: When Self-Collection Goes Wrong | eDiscovery Deepfakes

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Every week, the Array team reviews the latest news and analysis about the evolving field of eDiscovery to bring you the topics and trends you need to know. This week’s post covers the period of February 2-8. Here’s what’s...more

Cornerstone Research

5 Questions with Jonah Berger: Using Artificial Intelligence and Machine Learning in Litigation

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5 Questions is a periodic feature produced by Cornerstone Research, which asks our affiliated experts, senior advisors, and professionals to answer five questions. We interview Professor Jonah Berger, of the Wharton School,...more

Array

This Week in eDiscovery: Balancing Sufficient Discovery Against Over-Collection | AI-Generated Evidence

Array on

Every week, the Array team reviews the latest news and analysis about the evolving field of eDiscovery to bring you the topics and trends you need to know. This week’s post covers the period of November 3-9. Here’s what’s...more

HaystackID

From Evidence to Misinformation: Courts Brace for Deepfake Challenges

HaystackID on

As deepfake technology becomes increasingly sophisticated and accessible, courts are now facing unprecedented challenges in distinguishing authentic evidence from AI-generated fabrications. This issue, particularly critical...more

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