Build AI Fluency That Lasts.

We teach your teams how AI actually works — not how to use one vendor's product. Our structured programs build durable understanding that survives the next product cycle.

Our Approach

Architecture Over Product

Most AI training teaches people how to use a specific tool. That knowledge has a shelf life measured in months. We take a different approach.

Our programs teach the architecture of large language models — how they process text, why they produce the outputs they do, and where they fail. This understanding is durable. When the next model generation arrives, your team already knows how to evaluate it, integrate it, and use it effectively.

Our training programs operationalize the frameworks from our published research, including Agentic AI in Law and Finance and the forthcoming The AI-Native Firm. Every module is grounded in real legal scenarios, not generic business examples.

Vendor-neutral

We teach concepts and architecture, not product interfaces. Your team learns skills that transfer across any platform.

Built by practitioners

Our instructors have built AI products, served AmLaw 50 firms, and published peer-reviewed research. They teach from experience, not slides.

Legally grounded

Every exercise uses real legal scenarios: contract analysis, regulatory monitoring, billing compliance. No generic chatbot demos.

Training Tracks

Three Tracks, One Goal: Competence

Each track is designed for a specific audience with distinct learning objectives. All tracks emphasize hands-on exercises and real-world application.

LLM Foundations for Legal Professionals

4–6 hours · For attorneys, paralegals, and legal operations professionals.

Covers how LLMs work, prompt engineering fundamentals, output evaluation, risk awareness, and practical applications in legal workflows. Participants leave with a mental model for AI that goes beyond "it's magic."

LLM Foundations for Legal Technology Teams

8 hours · For IT staff, legal technology managers, and innovation teams.

Covers LLM architecture, embedding and retrieval systems, API integration patterns, evaluation frameworks, security considerations, and deployment strategies. Designed for the people who will evaluate, configure, and maintain AI systems.

LLM Development for Legal Technology Teams

16 hours · For senior engineers and technical architects.

Covers fine-tuning, retrieval-augmented generation (RAG), agentic architectures (Goal-Perception-Action framework), evaluation pipelines, data infrastructure, and production deployment. The definitive technical course for teams building AI-native legal applications.

The Platform

Powered by Kelvin Training Platform

Every training session runs on Kelvin Training Platform, our proprietary web-based training and simulation environment. Participants work with real AI models through guided exercises and an open-ended prompt sandbox.

The platform supports 21 models across OpenAI, Anthropic, and Google. Participants compare outputs, adjust parameters, and build intuition for how prompt construction affects results. No generic chatbot demos. Real models, real legal scenarios, real practice.

27 guided exercises

Step-by-step scenarios covering contract analysis, due diligence, legal research, discovery classification, and more. Each exercise builds prompt engineering skill through iterative refinement.

Multi-model prompt sandbox

A free-form environment where participants experiment with their own documents and prompts. Templates, model comparison, and parameter controls included.

Materials library and session management

Curated reference content accessible during and after training. Session scheduling with countdown timers keeps instructor-led programs on pace.

Why Us

What Sets Us Apart

Our training programs are built on real experience, published research, and measurable outcomes.

Proprietary Training Platform

Every participant gets hands-on access to Kelvin Training Platform with 27 guided exercises, a multi-model sandbox, and curated materials. No slides-only sessions.

Published Textbook Authors

Our instructors wrote Agentic AI in Law and Finance, the leading open textbook on AI in legal and financial services. Training content is drawn directly from peer-reviewed, published research.

Measurable Outcomes

Every program includes pre- and post-assessments. We measure comprehension, not just attendance. Organizations receive detailed reporting on participant progress and identified knowledge gaps.

Delivery

Flexible Delivery, Consistent Quality

We meet your organization where it is — on-site, virtual, or hybrid. All formats include the same interactive exercises and assessment tools.

On-Site Training

In-person delivery at your offices. Ideal for firm-wide rollouts, leadership retreats, and practice group sessions where direct interaction drives deeper engagement.

Virtual Training

Live instructor-led sessions via video conference. Full interactivity, breakout rooms, and access to Kelvin Training Platform. Effective for distributed teams and multi-office organizations.

Hybrid Programs

Combined on-site and virtual delivery for organizations with both centralized and distributed teams. Consistent curriculum across all participants regardless of location.

Custom Curriculum

Every engagement begins with a scoping conversation. We tailor examples, exercises, and depth to your organization's practice areas, technology stack, and strategic priorities.

Ongoing Support

Training does not end at the last slide. We provide follow-up office hours, refresher sessions, and access to updated materials as the technology evolves.

Curriculum

Published Materials, Not Repurposed Vendor Decks

Our training draws from two comprehensive textbooks, ten slide modules, and five hands-on exercises. All written by our team. All grounded in real legal practice.

LLM Foundations for Legal Professionals textbook cover page

LLM Foundations for Legal Professionals

How LLMs work, capabilities and limitations in legal work, mental models for AI, prompt engineering, and security, ethics, and attorney-client privilege considerations.

8 chapters · 99 pages · Appendices with glossary, scenario bank, and prompt templates

LLM Foundations for Legal Technology Teams textbook cover page

LLM Foundations for Legal Technology Teams

API integration patterns, prompt engineering as engineering, structured outputs, tool calling, retrieval systems, evaluation, security, agents, and reference architectures.

11 chapters · 88 pages · Lab exercises throughout

Module 1: AI Fundamentals slide title card
Module 4: Prompt Engineering Fundamentals slide title card
Module 6: Security, Ethics and Confidentiality slide title card
Module 8: Agents in Legal Practice slide title card

Track Record

Experience That Informs Every Session

Magic Circle partnership program

Six-week structured program covering AI fundamentals through advanced application for firm partners and senior associates.

AmLaw 50 technology team training

Custom curriculum on LLM architecture, evaluation, and deployment for a 40-person legal technology team.

Fortune 500 legal department

AI literacy program for 200+ legal professionals across multiple business units, delivered over eight weeks.

Global legal service provider

Designed and delivered an AI training program for a global legal service provider's client-facing teams across multiple offices.

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