Evidence current to mid-2026.
In legal and compliance, AI is ready today for the drafting and the volume work, like first-draft contracts from templates, policy documents, summarising large sets and extracting obligations from contracts, always with a lawyer checking and owning the output. The advice and the final call, unverified court submissions, privileged material in unapproved tools, and employment decisions stay with people. The tables below show exactly which is which.
Each task below sits in one of three bands: a strong fit today, worth a careful pilot, or keep with people for now.
A clear breakdown of where AI does and does not fit across the core tasks of a legal and compliance team. A practical starting point, not the last word.
Proven and available today. AI does the bulk of the work and a lawyer reviews it.
| Function | The job today | With AI |
|---|---|---|
| Contract drafting from templates | Turn a brief or template into a first-draft non-disclosure agreement (NDA), services agreement or employment contract | AI drafts from the template and your instructions; a lawyer checks the terms and owns the final words |
| Policy and procedure drafting | Write or update internal policies, compliance frameworks and codes of conduct | AI drafts from the brief and your existing policies; a lawyer checks the legal accuracy and signs off |
| Document summarising | Summarise contracts, pleadings, legislation, regulatory guidance and board packs | AI extracts the key terms and issues; a lawyer checks the summary is accurate and complete |
| Contract data extraction | Pull key dates, obligations, termination rights and liability caps from a large contract set | AI extracts to a structured table; a lawyer spot-checks and owns the obligations register |
| External counsel briefing | Draft instructions to external counsel, matter summaries and chronologies | AI drafts from notes and documents; a lawyer checks the accuracy and owns the brief |
Promising but not yet proven at this scale. AI assists and a lawyer stays in the loop, so trial it on a contained scope first.
| Function | The job today | With AI |
|---|---|---|
| Legal research (with citation checks) | Find relevant cases and legislation, summarise the position, check whether the law has moved | AI finds and summarises; a lawyer independently checks every citation in a primary source before it goes anywhere |
| Document review and discovery triage | Classify a large document set for relevance and privilege | AI triages; a lawyer reviews the privilege calls and owns the final set |
| Due diligence on standard documents | Review data rooms and extract issues from NDAs, supply agreements and standard contracts | AI extracts issues on standard provisions; a lawyer checks novel or negotiated terms |
| Contract review and redlining (third-party paper) | Review a counterparty’s contract against your standard positions, mark up the deviations, propose fallback wording | AI marks up against your playbook and drafts the redlines; a lawyer owns the materiality calls, the negotiation strategy and the unfair-contract-terms risk |
| Regulatory monitoring | Track changes to the laws and regulations that apply to the business | AI surfaces changes; a lawyer assesses the impact and directs the response |
| AML/CTF compliance | Track customer identity verification, risk assessments and AUSTRAC reporting obligations under the Anti-Money Laundering and Counter-Terrorism Financing Act 2006 (AML/CTF Act), which applies to legal practices providing designated services (including conveyancing, entity structuring and business financing) from 1 July 2026 | AI helps compile verification records, draft the compliance programme and surface monitoring alerts; the risk assessment, client due diligence judgement and reporting decisions stay with the practice |
| Compliance reporting and board packs | Draft compliance status reports and board papers from data and notes | AI drafts; a lawyer traces every claim, checks the accuracy and owns what goes to the board |
| Employment matter correspondence | Draft show-cause letters, investigation notices and procedural fairness correspondence | AI drafts from the brief; a lawyer checks the legal basis and the procedural fairness |
| Privacy impact assessments | Draft privacy impact assessments (PIAs) and privacy governance documents from a brief of the processing activity, including assessment of exposure under the statutory tort for serious invasions of privacy (in force 10 June 2025) | AI drafts from the template; a lawyer checks the privacy analysis, the tort exposure and the obligations |
These stay with people, either because the tooling is not reliable enough or because professional obligations rule it out.
Worth weighing: for any of these, the upfront setup (building template libraries, defining the clause checklist, connecting the approved enterprise tools with the right contractual controls) is a one-off, separate from the ongoing effort, which on the strong-fit items is mostly verification and review. The time reclaimed from first-pass drafting and document reading goes back to the advice, the strategy and the client relationships that require a qualified lawyer’s judgement: exactly where the value lies and where AI is not a substitute.
The evidence
The research, regulators and tools behind this guide:
This guide sits on top of the things that stay the same whatever your function. See the ground rules
Questions
No, it changes what they spend time on. The drafting, the document reading and the obligations tracking shrink, and their judgement, their advice and their accountability matter more. The compliance-critical work, the advice itself, employment decisions, court submissions and anything that requires a professional to sign off, stays firmly with a qualified lawyer or responsible officer. The goal is a legal function that does more with the same people, not fewer.
Not into a public AI tool, and every major Australian professional body has said so clearly. Public AI chatbots are incompatible with legal professional privilege: uploading privileged matter material to a tool that may retain or train on inputs risks inadvertent waiver. The safe path is an enterprise-licensed tool with contractual data isolation, Australian data residency where available, and a ban on model training on your inputs. The December 2024 joint statement from the NSW Law Society, the Victorian Legal Services Board and the Legal Practice Board WA is explicit on this point.
Pick something high-volume, easy to check and verifiable against the original. Document summarising is a common first step: AI reads the document and extracts the key terms, a lawyer checks the output against the source. Contract data extraction is the other strong one, pulling obligations, dates and key clauses from a large contract set into a register. Both remove real busywork and both have a natural verification step built in. Prove one before adding the next.
With strict rules, and with much more caution than most people assume. AI legal research tools hallucinate at meaningful rates on Australian law. An independent peer-reviewed study found Sydney legal queries hallucinate at 61% in general-purpose AI, with some specialist legislation at 100%. The dedicated legal research platforms perform better, but still need independent verification. More than 60 published Australian decisions involving AI-generated citations submitted to courts have been documented through mid-2026, with consequences ranging from formal referral to a professional disciplinary body through to restriction to supervised practice. Every citation from any AI tool must be independently verified in a primary source before it goes into any document filed with a court.
Quite a bit on both sides of the ledger, which is why this is dated. Through early 2026, Australian courts got serious: the Federal Court issued binding guidance on AI use in proceedings (GPN-AI, April 2026) and the Federal Circuit and Family Court followed (PD-AI, May 2026), covering virtually all major federal litigation. Harvey opened a Sydney office and Australian law firms began deploying legal-specific AI for contract review and research at scale. At the same time Australia accumulated its first disciplinary findings against practitioners for AI-generated fake citations, making the risks concrete rather than theoretical. The capabilities and the obligations both grew. A year ago this was distant guidance; today it is current professional obligation.
The evidence is current to mid-2026 and we refresh it as the tools and the obligations change, which in legal and compliance they do often. Where a finding comes from an independent source we lead with it; where it comes from a vendor we treat it as marketing. If something has shifted since you read this, the fastest way to get the current picture for your own function is a quick chat.
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