AI for Contracting: Legal Drafting, Review & Efficiency

This course contains the use of artificial intelligence.

Legal teams spend enormous effort on repetitive, high-volume work: reviewing contracts clause by clause, drafting from stale templates, keeping playbook positions consistent across reviewers, tagging and finding past work, clearing marketing claims, and wading through discovery. This course shows how generative AI compresses that effort — improving speed, accuracy, and risk management without giving up professional judgment.

Everything here is tool-agnostic and practical. You will follow one company the whole way: Harborview Legal, the 16-person in-house team at a mid-market consumer-products business handling roughly 2,400 contracts a year. Each section advances their journey from manual, inconsistent work to a governed, AI-augmented operation — so nothing stays abstract.

What makes this course different

• Five genuine AI lab sessions. The demo lectures show a real AI assistant working a real contract — not a mock-up. You watch it build, get pushed to cut corners under deadline pressure, and then verify its own work.

• Risk management is taught, not skipped. Confidentiality, privilege, hallucination control, and professional responsibility get a full section, mapped to ABA Model Rules 1.1, 1.6, 3.3, 5.1 and 5.3 and ABA Formal Opinion 512.

• Workflows you can run this week. Deviation reports, obligation registers, fallback ladders, encoded playbooks, tagging schemas, claim screens, and privilege triage — each with a worked example.

• Eight section quizzes, five hands-on labs, a capstone, and a 30-question final exam.

What you will build

You will run an AI-assisted first-pass contract review that flags risky, missing, and off-standard clauses; draft and stress-test agreements while owning enforceability; encode a negotiation playbook so every reviewer applies the same positions; design a tagging schema that makes past work findable; screen marketing claims against substantiation rules; triage a discovery set for relevance and privilege defensibly; and write the governance policy that makes all of it hold up.

The course closes with a 30-60-90 day rollout plan so you leave with a sequence, not just ideas. No coding and no prior AI experience required.