Legal Experts: AI Research Insights
You'll start with a short screening interview
Welcome! š
We are conducting a research study with Legal professionals. The goal is to collect real-world professional scenarios that will help train AI models to handle complex advisory situations.
The objective of this research is to help AI understand real legal situations ā especially those involving nuances, trade-offs, and hidden details that completely change the required approach.
š¬ Conversation-only scenarios ā This form exclusively accepts scenarios that are resolved through a conversation or consultation. No tool use or file uploads are required. Submissions that depend on digital tools should be submitted in the tool-supported scenario form instead.
š¤ Who can participate
- Licensed attorneys (any jurisdiction)
- Paralegals and legal assistants
- Law students (currently enrolled or recently graduated)
- Compliance and regulatory officers
- Other legal professionals (judges, mediators, law professors)
- Experienced laypersons who personally navigated a significant legal situation
ā Validation Criteria
Automatically rejected: Generic responses, use of AI, inconsistency across fields (detailed in one field, superficial in another), made-up cases without real domain knowledge.
The use of AI is not permitted. Generic or superficial responses will be rejected. Your story must reflect real experience in the field and knowledge of how situations actually work in practice.
Required for success: a scenario that is resolved primarily through conversation or consultation. Submissions with clear hidden details and concrete constraints are significantly more valued.
Approval criteria: Coherence between fields and the story, real and domain-specific details, at least 3 concrete constraints, and a clear hidden detail that changes the required approach.
ā±ļø Expected time: ~30 minutes per submission.
Remember: The use of AI is not permitted.
- You will be engaged as an independent contractor.
- This is a fully remote opportunity that can be completed on your own schedule.
- Opportunities can be extended, shortened, or concluded early depending on needs and performance.
- Your participation will not involve access to confidential or proprietary information from any employer, client, or institution.
- Payments are processed weekly based on services rendered.
- We are unable to support H1-B or STEM OPT candidates at this time.
See how Terac works
Two minutes on the expert network paying real people for short, remote conversations with the teams building AI.