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Independent, domain-specific AI benchmarks in legal, tax and finance, testing how models actually perform on professional work rather than academic tests.
Why I recommend it: Free leaderboards; the company sells private benchmarking to enterprises. Domain-specific results are more useful than general scores if you work in these fields.
A curated set of free learning material for legal professionals who want to understand data and AI: primers, courses, tools and reading, gathered in one place.
From the site: Learning Legal Data Science: An Introductory Course on Legal Data Science in R. https://www.youtube.com/embed/iOLLbiW9OPsThe best way to understand what computer science and artificial intelligence can and cannot do in the legal domain is to learn how to program yourself. Acquiring these skills allows you to harness t…
Why I recommend it: A strong starting point if you are in law and feel behind on data and AI. The links are free; some point to external courses that have their own paid upgrades.
#legal#data science#upskilling#learning
Data Science for Lawyers - University of OttawaAdded Sep 18, 20260 opens
The stewards of the Open Source Definition, with plain-language explanations of every approved licence and guidance on choosing one for your own project.
Why I recommend it: Read this before you publish code or a template — the license you pick decides what others can legally do with your work.
What the ADEA actually protects, what employers may and may not ask, and how to file if a line is crossed.
In plain terms: This guide explains federal rules protecting workers and job seekers age 40 and older from age discrimination. You can use it to recognize illegal workplace practices, check reporting deadlines, and learn how to file a complaint.
Why I recommend it: Know the line. Most age bias is not illegal questioning, but it helps to recognize when it is.