Bytesized AI
Short slide decks explaining AI concepts in plain English — designed for legal professionals with no technical background. Click any episode to view it right here.
11 episodes · use arrow keys to navigate slides
NLP, ML, and AI — Basic Terminology
The foundational vocabulary you need: how Natural Language Processing, Machine Learning, and Artificial Intelligence relate to legal work.
What Can AI Do in Legal?
A practical tour of what AI is doing right now in legal practice — contract review, legal research, and the realistic near-term implications for attorneys.
Why AI? Why Now?
What changed, what made large language models possible, and why this moment matters for the legal profession.
How Does AI Work? Part I — Pattern Recognition
How AI learns from data and makes predictions — the foundations of pattern recognition in plain English.
How Does AI Work? Part II — Neural Networks
Neural networks explained: layers, training, and why the leap to large language models was so significant.
OpenAI in a Nutshell
How OpenAI's approach to training on large datasets changed what's possible — and what that means for legal AI tools.
NLP Deeper Dive
Tokenization, embeddings, and how AI systems convert text into something they can reason about.
How to Train AI to Review Contracts
What labeled data is, why it's hard to create, and how it teaches AI to find specific clause types in real contracts.
How to Measure AI Accuracy
Precision, recall, and F1 score in plain English — with contract review as the example. Know what you're trusting before you rely on it.
AI Glossary (Episodes 1–9)
A consolidated reference covering every technical term from the first nine episodes. A handy cheat sheet to revisit.
Not All Things Require AI
A grounding perspective: when AI adds value versus when traditional approaches are faster, cheaper, and more reliable.
Follow Our Work
Subscribe to FairlyAI — our free weekly newsletter on AI and law for attorneys.