AI Legal and Compliance Workflow Flowchart

AI Legal and Compliance Workflow Flowchart

A legal and compliance AI workflow flowchart helps teams decide whether AI should support a task, whether the task needs professional review, or whether the work should stay human-only. AI can help organize, summarize, compare, extract, draft, and prepare, but legal interpretation, compliance decisions, confidentiality review, and final approval should remain professional-led.

Step 1: Is the Tool Approved?

  • If the AI tool is approved for the specific legal or compliance workflow, continue.
  • If the tool is not approved, do not use it for confidential, privileged, regulated, or sensitive work.
  • If approval is unclear, escalate to the tool owner, legal, compliance, privacy, or security reviewer.

Step 2: What Type of Work Is This?

  • Low-risk support: formatting, summarizing approved non-sensitive material, checklist drafts, and internal organization.
  • Review-required support: contract review, policy drafting, compliance checklists, risk registers, legal research notes, and document summaries.
  • Human-only or escalation-required work: legal advice, final legal conclusions, regulatory decisions, privilege determinations, risk acceptance, litigation strategy, confidential negotiations, or high-impact compliance decisions.

Step 3: Does the Workflow Include Sensitive Information?

  • Check for privileged, confidential, regulated, customer, employee, vendor, investigation, contract, or business-sensitive information.
  • Use only approved tools and minimum necessary information.
  • Escalate if the data type or privacy status is unclear.

Step 4: Can the Output Be Verified?

  • Verify citations, clauses, statutes, policies, obligations, deadlines, facts, and source references.
  • Check for missing exceptions, wrong versions, hallucinated authority, or unsupported conclusions.
  • Do not use AI output when the source material is incomplete or cannot be verified.

Step 5: Who Reviews and Approves?

  • Assign the appropriate reviewer before the AI output is used.
  • Document sources, versions, prompts, outputs, edits, reviewers, approvals, and final use when required.
  • Keep legal advice, compliance decisions, confidentiality judgment, and final approval human-led.

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