Key Discovery Points: Detecting AI is Difficult and Tricky!
Key Discovery Points: ESI Protocol Objection Denial Party
Key Discovery Points: Be a Team Player When It Comes to Production
From OCR to AI The Future of Media and Image Analysis in eDiscovery
AI in eDiscovery Today: An Open Conversation
Key Discovery Points: A Judicial Approach to Handling AI-Generated Evidence
Key Discovery Points: Don’t Get Caught with Your Hand in the Production Cookie Jar
Key Discovery Points: Petty Finger Pointing Over Search Terms Results in Wasted Time
Key Discovery Points: Do Your Best to Avoid Discovery Shenanigans!
Key Discovery Points: Be Willing to Agree and Compromise When It Comes to Hyperlinks
Navigating the Maze: eDiscovery Essentials for Employers — Hiring to Firing Podcast
Harnessing the Power of eDiscovery: The Revolution of AI and Technology in Litigation and Investigations - The Consumer Finance Podcast
Key Discovery Points: Don’t Rush in as an AI Fool!
Key Discovery Points: If You Dispose of Relevant Hard Drives You Will Face (Some) Consequences
Key Discovery Point: Collecting Hyperlinked File Versions – Contemporaneous or “As Sent”?
Key Discovery Points: Timing is Mostly Everything in eDiscovery
Key Discovery Points: AI Says AI Will Replace Paralegals… But Not So Fast!
Key Discovery Points: Get Your Copy of the 2025 eDiscovery State of the Industry Report
What are Some of the Concerns With Applying AI to Document Review?
Biggest Benefits of Applying AI to Document Review
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
In 2025, technology holds a well-established place in the legal profession. And even though there are headlines about emerging tech itself being on trial, the pros of Artificial Intelligence (AI), Machine Learning (ML), and...more
The year 2025 has brought us closer than ever to the dawn of artificial general intelligence, with AI systems now capable of reasoning on par with humans—or even surpassing them in specific domains. In this article, I examine...more
As some readers will know, we have spent many hours working with Generative AI-based Large Language Models (“LLMs”) like GPT (aka ChatGPT) and Claude. We use both in our DiscoveryPartner® software to summarize and synthesize...more
Preface. For background on the story, see my non-fiction article, GPT-4 Breakthrough: Emerging Theory of Mind Capabilities in AI. To create this story, I had ChatGPT read this article and the underlying scientific paper...more
Rapid AI advancements are transforming eDiscovery software. Platforms that fail to incorporate new AI capabilities will leave users with outdated tools that hinder workflows, increase costs, and limit the ability to handle...more
Generative AI is transforming the landscape of legal technology, offering unprecedented opportunities to automate tasks and streamline complex workflows. Yet, designing AI tools that truly meet the needs of legal...more
AI has the potential to transform the criminal justice system through its ability to process vast datasets, recognize patterns, and predict outcomes. However, this potential comes with a profound responsibility: ensuring that...more
Bill Gates has insider knowledge on the future of generative AI. He predicts there will be ‘two more turns of the crank’ on scaling, with the next ‘big frontier‘ being ‘metacognition.’ Gates describes ChatGPT’s metacognitive...more
I continue to be troubled about AI Sycophantism. What is that? The tendency of generative AI to agree with the user, to respond in a way that is aligned with the user’s biases, errors and hallucinations. In other words, the...more
Say goodbye to the traditional panel of experts, the ones routinely featured at educational events and conferences worldwide. Say hello to new panels of AI experts: panels in your pocket that you can call upon anytime,...more
Growth of the eDiscovery industry has occurred through new companies, new products, and consolidation. So does a company’s size matter when you’re choosing an eDiscovery provider? Some of that choice comes down to preference,...more
ComplexDiscovery Editor’s Note: Within this report lies a nuanced forecast of the eDiscovery market, suggesting its course from 2023 to 2028. While the detailed analysis meticulously outlines the growth in aggregate and...more
Advances in artificial intelligence, including predictive coding and continuous machine learning, are creating opportunities to make eDiscovery more efficient and more effective. Yet, according to eDiscovery Today’s 2022...more
Purchasing Resources- When I said last time that the first 70+ pages is mostly dedicated to educational resources, that includes resources on the market, a procurement approach that can be used to select vendors and...more
In my last post on the EDRM blog, I discussed 3 reasons why people avoid using Technology Assisted Review (TAR)/predictive coding (and related technologies) in their cases. So, what can we do to change that? Here are 4 ways...more
Most document review today uses some form of technology-assisted review (TAR). TAR uses computer software to categorize documents as responsive or nonresponsive, based on human review of a subset of documents from the...more