Python for lawyers — automate contract review, discovery, and doc extraction
You didn't go to law school to Ctrl-F 400 PDFs. Python does the reading, you do the arguing.
Junior associates burn 40% of billable hours on document review and citation checking — work that isn't practising law, it's pattern-matching text. Python owns that work in every AmLaw 100 firm's ops team; associates who learn it get moved off doc-review and onto the interesting matters faster. Generic Python courses spend eight weeks on OOP and dictionaries before touching a PDF; by then you're back to Ctrl-F.
The Automation track skips the theory: pdfplumber to read every clause from a bundle of PDFs, regex + spaCy for entity extraction (names, dates, dollar amounts, jurisdictions), openpyxl to dump results into a review spreadsheet, requests + a courts-data API for citation checks. Ten hands-on lessons, then a weekend to automate one real workflow you're already doing. The AI tutor explains errors with a guiding question instead of the answer, because you're paid to reason.