Attorney

What you would do

• Review commercial agreements against company playbooks and policies
• Identify issues, determine applicable company positions, and set fallback thresholds
• Draft clear written analyses explaining each redline and its rationale
• Apply technology transactions knowledge to real-world agreements
• Work independently to meet deadlines in a remote environment

Who they want

• Juris Doctor from accredited law school and active bar membership in a U.S. state
• Minimum 4 years in transactional practice at a firm or as in-house counsel
• Deep knowledge of risk allocation, indemnification, confidentiality, and data protection provisions
• Ability to synthesize legal concepts and deliver actionable written analysis
• Strong judgment and accuracy in contract interpretation and review

Main skills

What the interview asks about

1. 1.Contract issue spotting

   Identifying problems accurately determines whether AI learns correct legal judgment; missing an issue means poor training data.

   For example: “You receive a vendor NDA that limits the company's ability to conduct security audits. Walk me through how you'd flag this, what positions you'd consider, and what your fallback would be.”

2. 2.Redline reasoning and documentation

   Clear, written reasoning shows the AI how to justify positions; vague explanations waste training data.

   For example: “You redline a liability cap down from $500K to $100K. How do you document that decision so the AI understands the logic and can apply it to a similar provision in another contract?”

3. 3.Technology deal specifics

   Tech transactions involve unique risks around data, IP, and security that require specialized judgment.

   For example: “An AI services MSA includes broad language allowing the client to use your internal IP in their model training. What issues does that raise, and how would you respond?”

4. 4.Policy application across contracts

   Consistent application of company standards across different agreements is what makes training data coherent and valuable.

   For example: “Your team has established that indemnity caps should not exceed service fees. You see a prospective client asking for a $2M indemnity on $150K in annual service revenue. How do you handle this?”

5. 5.Accuracy and attention to detail

   Legal errors in training data cause AI to learn and propagate mistakes, so precision is non-negotiable.

   For example: “You notice the NDA uses two different definitions of Confidential Information in different sections. What steps do you take to resolve this?”

A task you may get

Redline a short commercial agreement (SaaS or data-processing MSA) against a company policy memo, writing one paragraph explaining each change.

How to prepare

• Review sample service agreements in your area of practice and note how liability caps and indemnification clauses typically diverge
• Reflect on the last three contracts you negotiated: what company positions mattered most, and why
• Read recent tech industry agreements or case summaries to refresh your knowledge of current data and AI-related provisions

The facts

Pay

$90–110/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

9/6/2026

Places left

50

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