AI training jobs for lawyers

Build complex legal reasoning tasks with supporting materials and review other attorneys' tasks for legal accuracy.

Design realistic multi-step legal prompts and build evaluations testing how well AI analyzes statutes, case law, and contracts.

Write realistic legal tasks and deliverables, and evaluate AI-generated legal answers for errors in reasoning, authority and jurisdiction.

Design realistic, multi-step legal and compliance tasks with objective criteria for grading the output.

Evaluate AI-generated military scenarios for operational realism and weapons employment decisions, providing clear written feedback.

Evaluate AI-generated special operations scenarios and assess operational realism, identifying unrealistic assumptions or errors in structured written feedback.

Compare pairs of responses to litigation tasks, decide which is stronger, and write justifications grounded in source documents and law.

Compare pairs of AI responses to in-house legal tasks, decide which is stronger, and write justifications.

Compare pairs of responses to transactional tasks, decide which is stronger, and write concise justifications.

Review immigration law documents and draft legal memos and briefs to support AI model improvement.

Draft, review, and annotate family law documents such as custody agreements and divorce decrees for AI training.

Review and annotate healthcare regulation documents, analyzing policies such as HIPAA, Stark Law, and the Anti-Kickback Statute.

Analyze civil rights statutes, regulations, and case law, and evaluate AI-generated legal analyses with expert feedback.

Review, analyze, and provide feedback on litigation and transactional documents, including contracts related to M&A, private equity, and capital markets.

Review and analyze corporate documents, contracts, and deal structures, and provide legal scenario assessments that inform AI model training.

Review and annotate legal documents and case law materials, and conduct cite-checking in Bluebook citation format.

Review and annotate complex legal documents and perform cite-checking and Bluebook formatting for legal materials.

Create, evaluate, and refine AI-generated documents, spreadsheets, and slide decks for trademark clearance opinions and office-action responses.

Evaluate and refine AI-generated contract redlines and due-diligence issue lists and memos for language model training.

Create, evaluate, and refine AI-generated documents such as trademark clearance opinions and office-action responses.

Evaluate and refine AI-generated commercial contract redlines, due-diligence issue lists and memos, and clause-risk analyses.

Evaluate and refine AI-generated documents such as trademark clearance and registrability opinions and fair-use analyses.

Evaluate and refine AI-generated commercial contract redlines, due-diligence issue lists and memos, and clause-risk analyses.

Evaluate and refine AI-generated commercial contract redlines, due-diligence issue lists, and clause-risk analyses.

Evaluate and refine AI-generated commercial contract redlines, due-diligence issue lists, and clause-risk analyses.

Create, evaluate, and refine AI-generated commercial contract redlines, due-diligence issue lists, and clause-risk analyses.

Create, evaluate, and refine AI-generated trademark clearance opinions, office-action responses, and copyright infringement and fair-use analyses.

Review Bluebook grading rubrics for unclear rules and create sample cite-checking tasks containing citation errors.

Review Bluebook grading rubrics for unclear rules and create sample cite-checking tasks containing citation errors.

Review Bluebook and pincite grading rubrics and create sample cite-checking tasks with realistic citation errors.

Evaluate and refine AI-generated trademark clearance opinions and copyright fair-use analyses to help train a language model.

Create, evaluate, and refine AI-generated trademark clearance opinions, office-action responses, and copyright infringement and fair-use analyses.

Create and evaluate AI-generated trademark clearance opinions and cease-and-desist correspondence, refining documents, spreadsheets, and slide decks for a language model.

Create and refine AI-generated documents, including commercial contract redlines, due-diligence issue lists, and clause-risk analyses.

Evaluate and refine AI-generated commercial contract redlines, due-diligence issue lists and memos, and clause-risk analyses.

Create, evaluate, and refine AI-generated regulatory-filing reviews, compliance-policy drafting, and board risk committee materials.

Evaluate and refine AI-generated data protection impact assessments, records of processing activities, and privacy notices.

Create, evaluate, and refine AI-generated data protection impact assessments, records of processing activities, and privacy notices.

Evaluate and refine AI-generated environmental impact assessment reports and regulatory permit and compliance submissions.

Create, evaluate, and refine AI-generated presentations such as quality of earnings report exhibits and diligence findings decks.

Create, evaluate, and refine AI-generated slide decks, including quality of earnings report exhibits, databook summary slides, and diligence findings decks.

Create and refine AI-generated slide decks such as quality of earnings report exhibits and databook summary slides.

Review AI-generated legal analyses, arguments, and contracts for accuracy and sound reasoning, and provide structured feedback and corrections.

Review AI-generated legal analyses and documents for accuracy and completeness, then provide structured feedback and corrections on tax law scenarios.

Review AI-generated legal analyses and documents for accuracy, identify legal errors, and provide structured feedback to improve outputs.

Review AI-generated legal analyses and documents, identify legal errors and missing information, and provide structured feedback to improve outputs.

Write realistic tasks and grading criteria, then review AI agents' step-by-step work and correct mistakes.

Write realistic workplace tasks and grading criteria, then review AI agent step-by-step work to correct mistakes.

Write realistic task requests and grading criteria, then review AI agent step-by-step work to spot and correct mistakes.

Create and refine slide decks covering quality of earnings exhibits, databook summary slides, and diligence findings.

Analyze legal disputes to develop litigation strategies and draft legal documents such as pleadings, motions, and briefs.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Perform simulated negotiations and redlining on ISDA Master Agreements and review AI responses to derivatives contract scenarios with expert feedback.

Draft sample bankruptcy motions and pleadings, and assess model-generated legal answers for accuracy and clarity.

Evaluate and critique AI-generated legal outputs for accuracy and logic, and draft detailed explanations responding to complex compliance scenarios.

Evaluate AI-generated legal content such as briefs, arguments, and memos, and provide written feedback identifying errors and logical inconsistencies.

Create challenging professional questions, evaluate AI-generated legal content, and design rubrics defining what a complete response should contain.

Review contract negotiation redlines and assess whether they reflect what competent counsel would actually do.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with feedback.

Perform simulated contract negotiations and redlining exercises and review AI responses to contract scenarios, providing expert feedback.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Perform simulated contract negotiations and redlining exercises, and review AI responses to contract scenarios with expert feedback.

Review and evaluate AI-generated motions, and create grading criteria to assess AI performance on litigation tasks.

Evaluate and compare AI-generated responses to legal and technical prompts, assigning quality scores with detailed rationales.

Review sample contracts to flag risky clauses and draft brief memos summarizing findings, key risk areas, and suggested improvements.

Review and redline commercial agreements such as MSAs, NDAs, and DPAs according to established playbooks and policies.

Review and redline commercial agreements such as MSAs, NDAs, and DPAs per playbooks, and draft written explanations for redlines.

Write legal problems with reference answers and grade model-drafted legal work for accuracy of provisions, privilege calls, and citations.

Draft motions or briefs from fact patterns with reference answers, and grade model-drafted contract and discovery work.

Review and redline commercial agreements per playbooks and write explanations of the rationale behind each redline.

Author realistic tax scenarios, write reference answers with code and regulation reasoning, and grade model output.

Author realistic deal scenarios and grade model output on purchase agreements, diligence summaries, disclosure schedules, and board matters.

Author realistic litigation scenarios and grade model output on motions, discovery strategy, and case assessments.

Author realistic patent prosecution scenarios and grade model output for claim quality, legal soundness, and technical accuracy.

Author realistic patent scenarios and grade model output for claim quality, procedural soundness, and technical accuracy.

Author notarization scenarios and grade model output for procedural correctness under state notary law.

Author case studies on EU regulatory and compliance decisions, with a case brief and data room.

Build realistic tasks from legal work and judge frontier AI model answers against professional standards.

Review contract negotiation redlines and assess whether they flag the right issues and reflect what competent counsel would do.

Compare two AI-generated responses to the same prompt and explain why one output outperforms the other.

Review AI-generated legal content and trainer work against project guidelines and provide precise written feedback on quality.

Review AI-generated legal research outputs, write model research memos, and rate and compare responses on correctness and reasoning quality.

Review AI-generated legal responses and write precise feedback on reasoning quality, accuracy, and step-by-step issue analysis.

Review AI-generated contract analyses and drafting outputs, identifying errors in clause interpretation and risk allocation.

Review AI-generated legal support responses for accuracy and errors, then evaluate and rank them to improve correctness and clarity.

Complete legal document review and case research tasks, including statutory analysis and structured legal annotations.

Review AI-generated legal analyses and fact-check citations and stated rules, providing precise written feedback.

Design and evaluate legal research and document preparation scenarios that test AI models on legal procedures.

Design and evaluate regulatory compliance scenarios that test an AI's ability to interpret and apply complex regulatory principles.

Design and evaluate legal scenarios that test the AI's ability to interpret and apply complex legal principles.