Machine Learning for Lawyers
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Audience: Lawyers, legal support, IT
Duration: 1 day
Format: 50 % lecture, 50 % lab
Overview
Designed for legal professionals, this course demystifies ML algorithms and shows how to apply them in legal contexts through lecture and guided labs-no coding required.
Objective
Objective coming soon.
What You Will Learn
- ML goals, types & model training
- Classification (logistic regression, doc classification)
- Regression (linear), business analysis
- Naïve Bayes, spam filtering
- Decision trees for legal decisions
- Topic modelling with LDA
- Deep Learning & document understanding
- Hands-on labs for each method
Course Details
Audience: Lawyers, legal support, IT
Duration: 1 day
Format: 50 % lecture, 50 % lab
Prerequisites:
Basic computer literacy (MS Office)
Setup: Browser (Chrome with Markdown Preview Plus) & cloud tools
Detailed Outline
- ML goals & capabilities
- Logistic regression, doc classifier (lab)
- Predict numbers (lab)
- Probabilities, spam filter (lab)
- Yes/No decisions (lab)
- Topic modelling (lab)
- Document understanding (lab)
Ready to Get Started?
Contact us to learn more about this course and schedule your training.