Merlin Search Technologies

Your partner needs comprehensive testimony analysis from over 1 million documents. The closing argument is tomorrow.
Traditional approach: Days of keyword searching, weeks of document review, guaranteed all-nighters.
Alchemy's approach: About 90 seconds. Total.
I just filmed a demonstration using actual trial documents from the BP Deepwater Horizon case. No concept video. No staged demo. Real documents, real complexity, real results.
The dataset: Over 1 million documents, with only 9,300 actually relevant to the trial. The rest is pure noise.
Here's what happened:

Found the 100 most relevant documents in 4 seconds
Analyzed and summarized all 100 documents in 25 seconds
Generated an 8-page comprehensive report in about 60 seconds

Cost: $4.71
Time: About 90 seconds
Your evening: Free
This isn't about replacing lawyers. It's about giving you back your time for strategic work that actually requires your expertise.
Watch the full demonstration: [LINK]
What discovery tasks are consuming your team's time that could be handled in seconds instead of days?

Watch:

One Minute, One Million Document Discovery Challenge Watch as Merlin Alchemy transforms an impossible discovery task into a one-minute miracle. Here is a link to the unedited report we created in this video. The…

𝗧𝗲𝗻 𝗠𝗼𝗻𝘁𝗵𝘀 𝗼𝗳 𝗪𝗼𝗿𝗸 𝗶𝗻 𝗠𝗶𝗻𝘂𝘁𝗲𝘀: 𝗔 𝗙𝗲𝗱𝗲𝗿𝗮𝗹 𝗝𝘂𝗱𝗴𝗲'𝘀 𝗔𝗜 𝗘𝘅𝗽𝗲𝗿𝗶𝗺𝗲𝗻𝘁
Last week, the Wall Street Journal wrote about how Judge Xavier Rodriguez was using AI in the courtroom. This week, Judge Rodriguez published the full story in Judicature, the journal of the Bolch Judicial Institute at Duke Law.

The article, "𝗝𝘂𝗱𝗴𝗶𝗻𝗴 𝗔𝗜: 𝗛𝗼𝘄 𝗨.𝗦. 𝗝𝘂𝗱𝗴𝗲𝘀 𝗖𝗮𝗻 𝗛𝗮𝗿𝗻𝗲𝘀𝘀 𝗚𝗲𝗻𝗲𝗿𝗮𝘁𝗶𝘃𝗲 𝗔𝗜 𝗪𝗶𝘁𝗵𝗼𝘂𝘁 𝗖𝗼𝗺𝗽𝗿𝗼𝗺𝗶𝘀𝗶𝗻𝗴 𝗝𝘂𝘀𝘁𝗶𝗰𝗲," describes how he used AI to manage a seven-week voting rights trial with 80 witnesses, nearly 1,000 exhibits, and over 5,000 pages of transcripts. Read the article: https://tinyurl.com/4x4v4dry

Judge Rodriguez details his experience using Merlin Alchemy throughout the article, from document search to transcript summarization to testing AI-drafted findings of fact.

He ran a head-to-head test: his law clerks summarized testimony manually while Alchemy did the same work. 𝗧𝗵𝗲 𝗰𝗹𝗲𝗿𝗸𝘀 𝘁𝗼𝗼𝗸 𝗵𝗼𝘂𝗿𝘀. 𝗔𝗹𝗰𝗵𝗲𝗺𝘆 𝗽𝗿𝗼𝗱𝘂𝗰𝗲𝗱 𝗮 𝗰𝗼𝗺𝗽𝗿𝗲𝗵𝗲𝗻𝘀𝗶𝘃𝗲, 𝗰𝗶𝘁𝗲𝗱 𝗿𝗲𝘀𝗽𝗼𝗻𝘀𝗲 𝗶𝗻 𝘀𝗲𝗰𝗼𝗻𝗱𝘀 - 𝗽𝘂𝗹𝗹𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗯𝗼𝘁𝗵 𝗱𝗲𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻 𝗮𝗻𝗱 𝘁𝗿𝗶𝗮𝗹 𝘁𝗲𝘀𝘁𝗶𝗺𝗼𝗻𝘆 𝗮𝗰𝗿𝗼𝘀𝘀 𝗺𝘂𝗹𝘁𝗶𝗽𝗹𝗲 𝘄𝗶𝘁𝗻𝗲𝘀𝘀𝗲𝘀.

He also tested whether AI could draft findings of fact. After the trial, it took his chambers ten months to produce a 140-page opinion. 𝗪𝗵𝗲𝗻 𝗵𝗲 𝗿𝗮𝗻 𝘁𝗵𝗲 𝘀𝗮𝗺𝗲 𝗲𝘃𝗶𝗱𝗲𝗻𝗰𝗲 𝘁𝗵𝗿𝗼𝘂𝗴𝗵 𝗔𝗹𝗰𝗵𝗲𝗺𝘆, 𝗵𝗲 𝗵𝗮𝗱 𝗮 𝗳𝗶𝗿𝘀𝘁 𝗱𝗿𝗮𝗳𝘁 𝗼𝗳 𝘁𝗵𝗲 𝗳𝗮𝗰𝘁𝘂𝗮𝗹 𝗳𝗶𝗻𝗱𝗶𝗻𝗴𝘀 𝗶𝗻 𝗺𝗶𝗻𝘂𝘁𝗲𝘀.

His conclusion: AI isn't ready to replace judges, but it can dramatically reduce the tedious legwork of locating, collecting, and describing facts in the record.

I had the privilege of working directly with Judge Rodriguez on this project, helping refine prompts and test Alchemy's capabilities against the demands of a complex federal case. He's the pioneer here. We were proud to assist.

We're now working with Magistrate Judge Allison Goddard to show how this technology can be just as powerful for appellate courts. If you're in the judiciary and interested in exploring what AI can do, we'd be happy to help.

𝗕𝗲𝘆𝗼𝗻𝗱 𝗗𝗼𝗰𝘂𝗺𝗲𝗻𝘁 𝗥𝗲𝘃𝗶𝗲𝘄: 𝗔𝗻 𝗘𝗗𝗥𝗠 𝗪𝗲𝗯𝗶𝗻𝗮𝗿 𝗼𝗻 𝗣𝗮𝗿𝘁𝗻𝗲𝗿-𝗟𝗲𝘃𝗲𝗹 𝗧𝗿𝗶𝗮𝗹 𝗦𝘁𝗿𝗮𝘁𝗲𝗴𝘆

What if you could see your opponent's strongest arguments before they ever present them? Or build your best opening argument ever in minutes?

On December 10th at 1pm ET, three senior legal professionals—𝗗𝗮𝘄𝗻 𝗠𝗮𝗿𝘁𝗶𝗻 𝗳𝗿𝗼𝗺 𝗥𝗼𝗯𝗲𝗿𝘁 𝗕𝗼𝘀𝗰𝗵, 𝗝𝗼𝗵𝗻 𝗕𝗿𝗲𝗲𝗻 𝗳𝗿𝗼𝗺 𝗟𝗲𝘄𝗶𝘀 𝗕𝗿𝗶𝘀𝗯𝗼𝗶𝘀, and 𝗔𝗮𝗿𝗼𝗻 𝗖𝗿𝗲𝘄𝘀 𝗳𝗿𝗼𝗺 𝗛𝗼𝗹𝗹𝗮𝗻𝗱 & 𝗞𝗻𝗶𝗴𝗵𝘁—are making the case that most of the legal industry is missing the real GenAI story.

While everyone debates whether AI can summarize depositions adequately, these practitioners have been using purpose-built platforms for something entirely different—partner-level strategic work that determines case outcomes.

They're developing trial strategies in hours instead of weeks. Generating opponent arguments using the best available evidence. Transforming trial preparation from educated guessing to strategic certainty.

They'll share practical frameworks, real-world applications, and the strategic implications of AI built for senior counsel rather than junior associates. We'll demonstrate these capabilities live using BP Oil Spill trial materials—not as a technology showcase but as proof of what these practitioners are telling you is possible today.

This EDRM - Electronic Discovery Reference Model webinar is designed for partners, senior trial counsel, and litigation directors responsible for case strategy and outcomes. Junior legal professionals from all walks of life are welcome too.

𝗗𝗲𝗰𝗲𝗺𝗯𝗲𝗿 10, 2025 | 1:00 𝗣𝗠 𝗘𝗧

𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿: https://tinyurl.com/y3vk79pe

This isn't another discussion about automating document review. It's about strategic advantages that most of your competitors don't know exist yet.

Beyond Document Review: GenAI for Partner-Level Trial Strategy and Investigations Wednesday, December 10, 2025 at 12:00 PM Central Standard Time.

𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗺𝗼𝗱𝗲𝗹𝘀 𝗮𝗻𝗱 𝗮𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗮𝗿𝗲 𝗵𝗲𝗿𝗲. 𝗔𝗿𝗲 𝘆𝗼𝘂 𝗿𝗲𝗮𝗱𝘆?

The 4th edition of 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙛𝙤𝙧 𝙎𝙢𝙖𝙧𝙩 𝘿𝙞𝙨𝙘𝙤𝙫𝙚𝙧𝙮 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡𝙨 includes an entirely new section that didn't exist in previous editions: Part Two on Advanced AI Architectures.

Most discovery professionals understand basic generative AI by now. You've seen document summarization. You've used chatbots to query case files. You know what large language models can do.

But the technology has evolved significantly in the past year. Two developments are transforming what's possible in discovery work:

𝗥𝗲𝗮𝘀𝗼𝗻𝗶𝗻𝗴 𝗠𝗼𝗱𝗲𝗹𝘀 don't just retrieve information and reformat it. They work through problems step by step, evaluate multiple approaches, and reach conclusions through deliberate analysis. This matters for tasks like privilege analysis, legal research, and complex document review where reasoning quality determines output value.

𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗦𝘆𝘀𝘁𝗲𝗺𝘀 break down complex discovery tasks into component parts, execute them through specialized agents, and coordinate results without constant human direction. These systems handle investigations, timeline construction, and cross-document analysis at a scale that wasn't practical before.

Part Two explains how these architectures actually work, what they're capable of today, and how to deploy them in discovery workflows. We show you the technical foundations without requiring a computer science degree. We demonstrate real implementations using litigation materials. We provide frameworks for evaluating when these advanced approaches make sense for your cases.

Dr. William Webber and I wrote this section because these technologies are moving from research labs into production systems. Discovery professionals need to understand them now, not wait until vendors explain them through marketing materials.

𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗗𝗮𝘁𝗲: 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟭𝟳, 𝟮𝟬𝟮𝟱

𝗣𝗿𝗲-𝗼𝗿𝗱𝗲𝗿 𝗻𝗼𝘄 at [email protected]. First 25 orders get personally signed copies from both authors.

𝗡𝗲𝘅𝘁 𝗠𝗼𝗻𝗱𝗮𝘆, 𝘄𝗲'𝗿𝗲 𝗿𝗲𝗹𝗲𝗮𝘀𝗶𝗻𝗴 𝘀𝗼𝗺𝗲𝘁𝗵𝗶𝗻𝗴 𝗜'𝗺 𝗴𝗲𝗻𝘂𝗶𝗻𝗲𝗹𝘆 𝗲𝘅𝗰𝗶𝘁𝗲𝗱 𝗮𝗯𝗼𝘂𝘁.
The 4th edition of 𝙂𝙚𝙣𝙚𝙧𝙖𝙩𝙞𝙫𝙚 𝘼𝙄 𝙛𝙤𝙧 𝙎𝙢𝙖𝙧𝙩 𝘿𝙞𝙨𝙘𝙤𝙫𝙚𝙧𝙮 𝙋𝙧𝙤𝙛𝙚𝙨𝙨𝙞𝙤𝙣𝙖𝙡𝙨 represents eighteen months of work capturing how generative AI is transforming legal discovery right now, not in some theoretical future.

Over 300 pages, the book is organized in three parts:

• 𝗣𝗮𝗿𝘁 𝗢𝗻𝗲 covers foundational concepts and how large language models work.
• 𝗣𝗮𝗿𝘁 𝗧𝘄𝗼 digs into advanced architectures including reasoning models and agentic systems.
• 𝗣𝗮𝗿𝘁 𝗧𝗵𝗿𝗲𝗲 walks through practical applications across the entire discovery lifecycle, from investigations through trial preparation.

Dr. William Webber and I wrote this for discovery professionals who are tired of AI hype and need practical guidance. We show you how these systems work in real litigation workflows. We use actual cases like the BP Oil Spill litigation to demonstrate capabilities. We provide cost analyses you can defend.

This is the book I wish I'd had when we started implementing generative AI at Merlin three years ago.

𝗥𝗲𝗹𝗲𝗮𝘀𝗲 𝗗𝗮𝘁𝗲: 𝗡𝗼𝘃𝗲𝗺𝗯𝗲𝗿 𝟭𝟳. One week from today.

𝗪𝗲'𝗿𝗲 𝘁𝗮𝗸𝗶𝗻𝗴 𝗽𝗿𝗲-𝗼𝗿𝗱𝗲𝗿𝘀 𝗻𝗼𝘄. Reserve your copy at [email protected]. The first 25 orders get personally signed copies from both authors.

The biggest AI story since ChatGPT isn't coming from Silicon Valley - it's coming from China.

DeepSeek just became the #1 downloaded app globally, surpassing ChatGPT itself. Its open-source model matches GPT-4's performance at 1/10th the cost.

What does this mean for legal professionals? In this article, I break down:

* How DeepSeek achieved this breakthrough
*. What it means for law firm technology
*. The security considerations that matter
*. Why being model-agnostic matters more than ever

This is why we built DiscoveryPartner to be model-agnostic from day one.

The AI Revolution Continues: What Legal Professionals Need to Know About DeepSeek, China's Game-Changing Answer to ChatGPT By John Tredennick In January 2025, an unknown Chinese AI startup called DeepSeek accomplished what seemed impossible: it dethroned ChatGPT as the most downloaded app in Apple's App Store. This sudden emergence sent shock waves through the technology sector, wiping billions from the market valuation

We are excited to announce the publication of the Third Edition of "Generative AI for Smart Legal Professionals: An Introduction to Large Language Models"

Originally published in the MIT Computational Law Report and formally released at EDRM - Electronic Discovery Reference Model's recent webinar on reengineering discovery workflow, this extensively updated edition arrives at a crucial moment for our profession.

What's new in the Third Edition:
🔹 Practical demonstrations of Gen III, our integrated Find, Analyze, and Report system for large document collections
🔹 Expanded coverage of security, privacy, and ethical considerations
🔹 In-depth analysis of ABA Formal Opinion 512 on ethical AI use
🔹 Real-world applications in document review, transcript analysis, and contract management

The book addresses the questions we hear most often from senior legal professionals:
▪️ How can GenAI transform traditional discovery workflows?
▪️ What are the security and ethical implications?
▪️ How do we maintain privilege and confidentiality?
▪️ What practical steps can we take to implement this technology?

Co-authored with our Chief Data Scientist Dr. William Webber, we've focused on providing clear, actionable insights for legal leaders navigating this technological transformation.

Visit https://www.merlin.tech/merlin-genai-3rd-edition to download your complimentary copy.

Announcing the Third Edition: Generative AI for Smart Legal Professionals Merlin Search Technologies is a pioneering AI and cloud technologies software company that is re-engineering investigations and eDiscovery using generative AI and other machine learning algorithms to analyze large quantities of information, summarize content and answer questions. It will free legal....

Don't miss tomorrow's most talked-about EDRM Webinar: “Using GenAI to Re-engineer Investigation and Discovery Workflow.”

Generative AI is transforming legal investigations and discovery workflow in ways we never thought possible. Join us on October 30th at 1 p.m. ET for a groundbreaking discussion exploring how traditional AI and GenAI can reshape complex investigations and discovery workflow

This unique opportunity brings together an international panel of experts driving the GenAI revolution:

* Jerry Johnson, VP and Deputy GC, Robert Bosch

* Darren Mullins, EMEA Investigations Partner, HKA Global (Dubai)

* Samantha Bowie, Co-founder, Siera Data (Sydney)

* Stephen Goldstein, Former Global Head of eDiscovery, Squire Patton Boggs

* John Tredennick, Founder and CEO, Merlin Search Technologies

Register now to attend live (or get the recording): https://bit.ly/40lO69q

All registrants receive a complimentary copy of 'Generative AI for Smart Legal Professionals' (3rd Ed.), recently published in MIT Computational Law Reports.

A must-attend for litigators, in-house counsel, ediscovery professionals, and anyone at the intersection of law and technology.