Give a model a contract to redline and it produces clean-looking edits that quietly leave an obligation with no trigger, a defined term used two different ways, and a cross-reference pointing at the wrong section. The one-sided indemnity survives untouched.
Remote Law & Policy (AI) Jobs in New Zealand 2026
75 remote jobs open to candidates in New Zealand in Law & Policy (AI). Updated daily.
Ask a model about a regulatory obligation and it answers with confidence, then cites a rule that was superseded two years ago, blurs the line between binding regulation and informal guidance, and applies a European regime to a US filing. Reporting thresholds come out wrong.
Hand a model a merger agreement and it summarizes it fluently, then misses that the indemnification cap swallows the escrow, that a closing condition has no matching covenant, and that the chosen deal structure triggers a tax result no client would accept.
Ask a model to brief a motion and it hands back something that reads like a real filing, then cites three cases that do not exist and misstates the standard of review on a fourth. The procedural posture drifts, the deadline math is off, and the local rules are ignored.
A model will answer a compliance question with confidence and still point you toward a HIPAA violation: a disclosure with no authorization, a retention rule from the wrong state, a Stark or anti-kickback trap it never sees.
A model will draft a cite-check that looks airtight and still miss that the case was overruled, point to the wrong treatment, and quietly invent a pin cite. In litigation those errors do not stay small. Catching them before they reach a filing is exactly what a paralegal does.
Models produce fluent legal analysis that is often subtly wrong: invented citations, misapplied precedent, and jurisdictional confusion. A plausible wrong answer in law has real consequences.
Models produce fluent legal analysis that is often subtly wrong: invented citations, misapplied precedent, and jurisdictional confusion. A plausible wrong answer in law has real consequences.
Job Summary: We are seeking accomplished litigators to join The Winning Motion, a part-time AI fellowship focused on advancing the quality of AI-generated legal advocacy.
Role Title: Lawyer/Legal Writer Role Type: Contractor Location: Remote micro1 is engaging Lawyer/Legal Writers to participate in an evaluation and analysis opportunity focused on advanced AI system development for a customer project.
micro1 is selecting Lawyers to contribute valuable legal expertise to a customer’s project focused on reviewing and drafting legal documents. In this role, you'll apply your expertise to help train next-generation AI systems.
The research teams behind the best-known AI models come to Mercor for legal judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
The research teams behind the best-known AI models come to Mercor for legal judgment they can't generate on their own. Your standards and expertise become the rubric that frontier AI is graded against.
micro1 is engaging Data Analysts to contribute to a high-impact customer project focused on business data. In this role, you'll apply your expertise to help train next-generation AI systems.
Tax attorneys to build the tax law reasoning scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Litigators to build the motions, discovery, and procedural reasoning scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Corporate and M&A attorneys to build the deal, diligence, and board governance scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Commissioned notaries public to build the notarization and document execution scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
USPTO registered patent agents to build the claim drafting and prosecution scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Patent attorneys to build the claim drafting and prosecution scenarios frontier AI labs use to test model judgment. AfterQuery builds the expert evaluation data that frontier AI labs use to measure and improve their models.
Role Title: Litigation Attorney (Shareholder / LLC) Role Type: Contractor Location: Remote micro1 is engaging Litigation Attorneys (Shareholder / LLC) to contribute to a cutting-edge project focused on evaluating and improving AI systems in the context of complex commercial…
Review contract negotiation redlines and assess whether they reflect what competent counsel would actually do. Remote, flexible, paid per task.
We're working with a leading foundational AI lab to find experienced financial services compliance professionals who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.
We're working with a leading foundational AI lab to find experienced contracts attorneys who can help train their latest language model on professional document, spreadsheet, and slide deck tasks.