Corporate Attorney (BigLaw Firms)

What you would do

• Review complex corporate documents, contracts, and deal structures from M&A, private equity, and capital markets contexts
• Provide detailed legal scenario assessments and analysis for AI model training on realistic corporate matters
• Evaluate commercial litigation materials and identify procedural nuances and substantive legal principles
• Deliver expert feedback on AI-generated legal reasoning, issue spotting, and contract interpretation
• Annotate legal datasets using established rubrics, categorizing issues and explaining key legal concepts

Who they want

• Currently licensed to practice law within the United States jurisdictions
• Recent BigLaw experience (current or within past 3 years) in corporate law, M&A, private equity, or capital markets
• Proven proficiency in complex litigation and large-scale deal work across corporate contexts
• Exceptional attention to detail in analyzing, interpreting, and explaining complex legal documents
• Strong written communication skills for explaining legal concepts clearly to diverse audiences

Main skills

What the interview asks about

1. 1.Legal issue prioritization

   AI training requires understanding what matters in corporate law; attorneys must distinguish material issues from immaterial complexity in real transactions.

   For example: “A $200M tech acquisition has narrower environmental carve-outs and a 15% indemnification cap instead of 20%. Both deviate from market. Which is materially worse for the buyer?”

2. 2.Explaining legal reasoning clearly

   AI systems learn by example; attorneys must articulate reasoning explicitly so models understand principle, not just outcome.

   For example: “A contract says payments are 'non-refundable' in recitals but operative clause allows refunds 'if services not performed.' Which provision controls and why?”

3. 3.Identifying gaps in AI legal analysis

   AI makes predictable errors in legal reasoning; trainers must spot these so model feedback is targeted and useful.

   For example: “An AI omits knowledge qualifiers on operational reps in a PE purchase agreement. What's wrong and how would you explain this gap?”

4. 4.Commercial litigation principles application

   Corporate lawyers encounter litigation strategy across deal work; trainers must evaluate whether AI captures procedural and substantive nuance.

   For example: “A shareholder dispute claim is defended with business judgment rule and demand futility arguments. Does the AI's legal reasoning correctly apply Delaware law?”

5. 5.Structural approaches to deal problems

   BigLaw corporate work involves creative problem-solving through structure; AI training needs examples of how issues are engineered vs. litigated.

   For example: “A seller has pre-closing environmental liability. Structure a solution using earnouts, indemnification baskets, and escrow mechanics. What legal principle makes each feasible?”

6. 6.Drafting intent and language tradeoffs

   Contract language reflects strategic choices; evaluators must understand whether AI captures the intent behind specific language selections.

   For example: “Termination fees: 'if not materially adverse' versus 'if no material adverse effect occurs' create different litigation burdens. What's the legal difference?”

A task you may get

Annotate 3 corporate transaction documents - one clean, one ambiguous, one risky - using provided rubrics. Identify issues and explain issue prioritization and structural approaches.

How to prepare

• Study representative BigLaw corporate transaction documents from SEC filings and deal disclosures to refresh on current market practice in M&A and private equity structures
• Review how commercial legal issues are framed in litigation so you can explain procedural and substantive nuance relevant to AI training
• Practice articulating legal reasoning in plain language that would help an AI system understand principle rather than just memorizing outcomes
• Research how AI systems currently handle contract interpretation and legal reasoning to understand common gaps and error patterns

The facts

Pay

$140–400/hr

Open to

Bangladesh, Hong Kong, India, Indonesia, Japan, Kazakhstan, Kyrgyzstan, Malaysia, Pakistan, Philippines, Singapore, Sri Lanka, Taiwan, Thailand, Uzbekistan, Vietnam, Austria, Belarus, Belgium, Denmark, France, Germany, Greece, Italy, Netherlands, Portugal, Russia, Spain, Switzerland, United Kingdom, Argentina, Brazil, Chile, Colombia, Mexico, Peru, Algeria, Bahrain, Egypt, Iraq, Jordan, Kuwait, Lebanon, Libya, Morocco, Oman, Palestine, Qatar, Saudi Arabia, Tunisia, United Arab Emirates, United States, Canada, Nigeria, Kenya, South Africa, Ghana, Ethiopia

Field

Law

Role type

Expert

Posted

8/21/2026

Places left

100

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