I will annotate, evaluate, and audit legal ai datasets and prompts
About this Gig
Bridge the gap between AI performance and legal accuracy with expert dataset annotation and LLM evaluation.
Generic annotators miss subtle statutory nuances, causing legal hallucinations and compliance errors. As an Advocate specializing in corporate law, compliance, and data governance, I provide high-quality human-in-the-loop (RLHF) evaluation to ensure your AI models are accurate and reliable.
What I annotate, grade, and evaluate:
Legal Accuracy & Hallucination Auditing: Verifying case law, statutory citations, and legal reasoning in LLM outputs.
RLHF & Model Tuning: Ranking, scoring, and refining AI responses for legal precision.
Prompt Engineering & Red-Teaming: Stress-testing models against complex scenarios and compliance edge cases.
Contract Parsing: Labeling clauses, risks, and entity relationships across legal datasets.
Why choose this Gig?
Lawyer-Led Quality: Evaluated by an Advocate of the High Court with hands-on technical and privacy expertise.
Structured Output: Delivered in JSON, CSV, Excel, or directly inside your labeling platform.
Absolute Confidentiality: Strict adherence to NDA and data security standards.
Technique:
Manual
Tagging type:
Text
My Portfolio
FAQ
What file or platform formats can you work with?
I can work directly with CSV, Excel, JSON/JSONL files, or annotate inside your custom SaaS platforms and labeling interfaces (such as Label Studio, Scale AI, or proprietary dashboard tools).
How do you evaluate legal hallucination risk?
I grade model responses against verified primary sources (statutes, regulations, and case precedents), scoring accuracy, legal logic, completeness, and jurisdictional relevance
Can you handle custom domain-specific legal datasets?
Yes. I specialize in corporate contract terms, data protection compliance (GDPR/privacy frameworks), intellectual property, and general commercial law.

