Author: John Tredennick
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Search Finds The Initial Evidence. CAL Learns What Comes Next.
The results of LLM hybrid search are explored in Merlin Search Technologies’s Hybrid Search series conclusion, exploring what the system should do after the search engine finds the first few relevant documents, continue with search,...
The Most Expensive AI Model Cost Nine Times More. It Wasn’t Nine Times More Accurate. We Tested.
With seven AI models and one assignment, authors John Tredennick and Lydiia Zhigmitova explore validation results around the capabilities of 7 AI models in respect to their accuracy, speed and cost. Anthropic’s, Google’s and OpenAI...
AI Search Can Find the Meaning. But It Can Still Miss the Evidence.
Semantic search can uncover meaning that keyword queries miss, but opaque project names, codes, and distinctive phrases can expose its blind spots. Using the “Project Checkmate” test, John Tredennick and Dr. William Webber explain why...
Keyword Search Isn’t Dead. Searching With Keywords Alone Should Be.
Keyword search remains indispensable, but it is no longer sufficient. John Tredennick and Dr. William Webber explain how keyword search, semantic search, and continuous active learning can work together to uncover evidence that any one...
AI Review 2.0: Why Document-Driven Review Produces Better Results—and Puts You Back in Control
The argument for AI-powered document review is all but over argues John Tredennick. Large language models are smarter, faster, more consistent, and less expensive than human review teams. John made that case in an earlier...
Beyond Keywords: How Semantic Search is Transforming Discovery
Keyword search misses most relevant documents. Semantic search uses meaning, not words, to transform recall, discovery, and AI-driven legal analysis.
Five Reasons Why Your Best Document Reviewer Isn’t Human Anymore
AI has transformed document review, offering unmatched speed, accuracy, scalability, and security. Find out why human reviewers cannot compete
Forward is Our Best Direction
John Tredennick examines how AI is changing the legal profession and why moving forward, with competence, caution, and clarity, is no longer optional.
Three Major LLMs Released in Twelve Days: Why Single-Model Discovery Platforms Are Now a Liability
OpenAI, Google, and Anthropic each launched new flagship LLMs in under two weeks. Legal discovery platforms relying on a single model are now structurally disadvantaged. Here’s why multi-model architectures are the only sustainable solution.
Generative AI for Smart Discovery Professionals
The 4th edition of Generative AI for Smart Discovery Professionals shows how legal teams can leverage AI for document review, deposition synthesis, and investigative reporting—while aligning with emerging ethical standards.
Using GenAI and Alchemy to Create Winning Trial Arguments
Discover how trial lawyers are transforming litigation prep using generative AI and platforms like Alchemy to build compelling arguments in record time.
Cloud Utility Pricing: Transforming Discovery Economics Through Consumption-Based Pricing
Cloud Utility Pricing is reshaping discovery economics by replacing flat-rate hosting with a use-based model. Legal teams gain cost control, better security, and flexible access, paying less when platforms are idle and more only when...