We are seeking seasoned Corporate Transactions Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep…
Remote Law & Policy (AI) Jobs in United Kingdom 2026
116 remote jobs open to candidates in United Kingdom in Law & Policy (AI). Updated daily.
We are seeking seasoned Investment Funds Attorneys for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep…
Job Summary: We are seeking seasoned General Counsels for a part-time role at the forefront of legal AI. This opportunity is for elite lawyers who want to help shape how advanced AI is trained, evaluated, and applied in real-world legal work, especially those who have deep…
Ask a model to assess patentability and it reasons smoothly, then treats an abstract idea as eligible subject matter, waves past the closest prior art, and construes a claim in a way no examiner would accept.
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.
Ask a model about a regulatory obligation and it answers with confidence, then cites a rule that was superseded two years ago, blurs the line between binding regulation and informal guidance, and applies a European regime to a US filing.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.
Mercor is partnering with leading AI companies to evaluate and improve how well AI systems handle real questions of law across multiple jurisdictions. We keep an ongoing talent pool of qualified, practising lawyers who serve as expert reviewers on these projects.
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.
We are looking for experienced legal professionals based in or with strong expertise in the United Kingdom (UK) jurisdiction to support a legal research and analysis project.
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.
Join Workbolt AI’s Lawyer Talent Network to be considered for flexible contract opportunities with AI labs and technology companies seeking experienced legal professionals. This is an open application for future projects—not a guarantee of immediate work.