Kelvin Training Platform.
Hands-on AI training built for legal and professional services teams. Guided exercises, a multi-model prompt sandbox, and real legal scenarios that teach how AI works, not just how to use one vendor's product.
Guided Exercises
AI Models
Model Providers
Gzipped Frontend
Guided Exercises
27 Scenarios. Real Legal Problems. Structured Practice.
Each exercise walks participants through a specific legal task: contract clause extraction, due diligence review, legal research summarization, discovery classification. The format is step-by-step, with prompts, hints, and direct interaction with AI models.
Exercises are organized by topic and difficulty. Participants start with a vague prompt, observe the output, then progressively refine their approach using structured techniques. The goal is to build intuition for how small changes in prompt construction produce different results.
Step-through format
Each exercise has a multi-step stepper that guides participants from initial prompt through iterative refinement. No one gets lost or stuck staring at a blank screen.
Real legal scenarios
Contract analysis, regulatory compliance, billing review, discovery classification. Every exercise uses scenarios that practicing attorneys and legal technologists recognize.
Filterable by topic and skill level
A card-based interface lets participants browse exercises by practice area, concept, or difficulty. Instructors can assign specific exercises or let participants choose.
Interactive Learning
Practice With Real Models, Not Static Examples
Every exercise connects to live AI models. Participants submit prompts and observe real responses in real time. They compare outputs across models, adjust parameters, and see how changes affect quality and consistency.
This is not a slide deck with screenshots of AI output. It is a controlled environment where participants build genuine skill through repetition and experimentation.
Multi-model comparison
Run the same prompt against Claude, GPT, and Gemini side by side. See how different models handle legal terminology, structured output, and edge cases.
Iterative refinement
The exercise stepper guides participants through progressively better prompts. Each step builds on the previous one, making the improvement process visible and repeatable.
Prompt Sandbox
Open-Ended Experimentation, No Guardrails Required
The sandbox gives participants a blank canvas with full access to all configured models. Templates provide starting points for common tasks. The compare feature lets users run identical prompts across multiple models simultaneously.
For teams ready to move beyond guided exercises, the sandbox is where real experimentation happens. Participants bring their own documents, draft their own prompts, and test ideas that matter to their specific practice.
Templates for common legal tasks
Pre-built prompt templates for contract review, research summarization, document drafting, and more. Modify them or start from scratch.
Model picker with parameter controls
Select any configured model, adjust temperature and token limits, and observe how parameter changes affect output quality and consistency.
Reference & Scheduling
Materials Library and Session Management
The materials library provides curated reference content organized by category: foundational concepts, prompt engineering patterns, security considerations, and evaluation frameworks. Participants access these during and after training sessions.
For instructor-led delivery, the session management view shows the day's schedule with countdown timers, module descriptions, and direct links to relevant exercises. Instructors stay on track. Participants always know what comes next.
18 curated materials across 4 categories
Reference content that participants can revisit after the session ends. Each item is written for the specific audience, not repurposed from generic AI overviews.
Session-aware scheduling
Configure training day schedules with timed modules, breaks, and exercise blocks. Countdown timers keep multi-hour sessions on pace.
Vendor-Neutral by Design
21 Models Across Three Providers
Kelvin Training Platform supports OpenAI, Anthropic, and Google models simultaneously. Organizations enable the providers that match their existing agreements and policies.
GPT-5, GPT-5 Mini, GPT-4.1, o3, o4-mini, and more. 15 models covering the full range from fast drafting to deep reasoning.
Claude Opus 4, Claude Sonnet 4, and Claude Haiku 3.5. Three tiers for different cost and capability requirements.
Gemini 2.5 Pro, Gemini 2.5 Flash, and Gemini 2.0 Flash. Native integration through the Google AI platform.
Run the same prompt against models from different providers. Observe how each handles legal terminology, structured output, and nuanced instructions.
When a new model launches or a provider changes pricing, update the configuration. No code changes, no retraining, no migration.
All model API keys stay on the server. Participants interact with models through the platform without needing their own accounts or API access.
Two Ways to Use It
Self-Managed or Managed Delivery
Deploy the platform for your internal training programs, or let 273 Ventures deliver training through the platform as part of a managed engagement.
Self-Managed
Your organization runs Kelvin Training Platform on your own infrastructure. Your team manages content, configures models, schedules sessions, and delivers training on your timeline.
- + Full control over content and scheduling
- + Deploy on-premise or in your cloud
- + Use your own model API keys and providers
- + Scale to any number of participants
Managed Delivery
273 Ventures delivers instructor-led training using the platform. We handle setup, content configuration, and facilitation. Your team shows up and learns.
- + Expert instructors who built the platform
- + Curriculum tailored to your practice areas
- + Pre- and post-assessments included
- + On-site, virtual, or hybrid delivery
Published Curriculum
Written by Practitioners, Not Repurposed from Slide Decks
The platform's exercises and materials draw from published training content developed by 273 Ventures. Two comprehensive textbooks and ten slide modules cover AI fundamentals through advanced topics.
LLM Foundations for Legal Professionals
8 chapters covering how LLMs work, capabilities and limitations in legal work, mental models for AI, prompt engineering, security, ethics, and attorney-client privilege.
99 pages · For attorneys, paralegals, and legal ops
LLM Foundations for Legal Technology Teams
11 chapters on API integration, prompt engineering as engineering, structured outputs, tool calling, retrieval systems, evaluation, security, agents, and reference architectures.
88 pages · For engineers, IT staff, and technical architects
10 Slide Modules for Instructor-Led Delivery
Architecture
Lightweight, Modern, Easy to Deploy
React Frontend
Single-page application built with React 19, TypeScript, Tailwind CSS, and shadcn/ui. Responsive across desktop, tablet, and mobile. ~131KB gzipped.
FastAPI Backend
Python 3.12+ with Pydantic v2 validation. Stateless API with rate limiting and CORS. Connects to OpenAI, Anthropic, and Google model APIs through a unified client.
JSON-Driven Content
All training content defined in JSON configuration files. Update exercises, materials, landing pages, and session schedules without touching code or redeploying.
Server-Side Security
All model API keys remain server-side. Per-IP rate limiting prevents abuse. CORS controls restrict access to authorized domains. No client data persists on disk.
No Database Required
Base functionality runs entirely from JSON config files and environment variables. No database to manage, back up, or migrate for standard deployments.
Tested and Documented
48 passing tests across unit and integration suites. Full API documentation. Deployment guides for Docker, bare metal, and cloud platforms.
How It Fits
Part of a Complete Training Practice
Kelvin Training Platform works alongside other 273 Ventures services and products. Use it standalone or as part of a broader engagement.
-
AI Training Programs
Our instructor-led training programs use Kelvin Training Platform as the hands-on practice environment. Three tracks serve legal professionals, technology teams, and developers.
-
Agentic Enablement
The Enablement and Adoption tier of our Agentic Enablement program uses the platform for guided workshops, rapid prototyping sprints, and ongoing skill development.
-
Published Research
Platform content draws from our published textbooks and the open textbook series, including Agentic AI in Law and Finance. Training stays current as our research evolves.
-
Internal Champions
Organizations that deploy the platform self-managed can run train-the-trainer programs. Build internal AI champions who sustain adoption after the initial engagement ends.
Get Started
See the Platform in Action
We will walk you through the exercises, sandbox, and content system. Demos are typically 30 minutes and can be tailored to your organization's practice areas and training goals.
Stay ahead of AI in professional services.
Industry insights, market shifts, and what we're building — delivered monthly.
We won't send you spam. Unsubscribe at any time.