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)