Commercial and contracts, disputes, corporate and M&A, employment, IP, and data privacy — the practice areas where getting it wrong isn't an option. That single fact sets the bar for the whole domain: verification, grounding, and data residency come before capability. The branch opens where the pressure is greatest right now — Legal AI, read as a category rather than a product pitch, with the POPIA and legal-privilege reality that the global studies leave out.
Seven sub-categories under leg/. Legal AI and Data privacy & POPIA are live — the tool question and the law under every residency decision. The remaining practice-area leaves follow.
Where the value actually lands — the tasks (drafting, DD, extraction), the honest read on the evidence, the landscape (Harvey, Legora, CoCounsel, Lexis+), why the business model is the real disruption, and the POPIA / privilege / residency reality for SA firms.
Contract drafting, review, and lifecycle; the standard clauses and the negotiated ones; where contract intelligence tools genuinely help and where they quietly introduce risk.
Case strategy, discovery and document review, summarisation of the record. The practice where AI summarisation lands hardest — and where an invented citation ends up in front of a judge.
Deal work, due diligence, the data room and the issues matrix. The top use case for in-house teams and the one where data extraction saves the most measurable time.
BCEA, LRA, disciplinary and IR work, policy drafting. High-volume, template-adjacent work — a natural fit for drafting tools, with the SA statutory overlay that generic tools miss.
The Act 4 of 2013 read for the AI era: the eight conditions, special personal information, the section 72 cross-border transfer test every AI decision runs through, the operator agreement, and how POPIA compiles into an AI-use policy. The legal substrate under the whole tree's residency work.
Trade marks, patents, copyright, and the new questions AI itself raises — training-data rights, authorship, and infringement in generated work. Doctrine meeting a moving target.
Five positions that hold across the branch. Legal is the domain with the lowest tolerance for hype, because the cost of a confident error lands on a client.
Legal AI is judged on verifiability and grounding, not fluency. A tool that produces a plausible, unsourced answer is a liability in this domain, not a shortcut.
The capability is becoming undifferentiated across vendors. The return lives in the power-user cohort and the workflows around the tool — not in which model you licensed.
AI is prising apart the billable hour — fixed-fee, subscription, managed services. The technology change is smaller than the commercial one it forces.
Under POPIA, client matter data is special personal information and often privileged. Where the documents sit and who can reach them is decided before any tool is chosen.
Most of the impressive legal-AI data is commissioned by the vendor and scoped to its own customers. Read the methodology; keep the structural findings, asterisk the numbers.
Legal sits on top of the tree's residency and agents work. Strongest links to the Agents and Tech domains (grounding and in-country inference), the People branch (the roles legaltech creates), and the briefings that translate POPIA and pricing for a decision-maker.