Stratum

Legal data annotation

Legal Data Annotation by Qualified Legal Professionals

Legal AI can require reviewers segmented by jurisdiction, practice area, experience, and type of legal work. This is B2B AI data and evaluation work. It is not the provision of legal services to consumers, and it is not a law firm engagement.

We are not a freelancer marketplace or traditional staffing company.

What is legal data annotation

Legal data annotation is professional labeling, scoring, or authoring of legal artifacts so an AI system can be trained or evaluated against a jurisdictional and practice-area standard. It is B2B data work, not legal advice and not a law-firm engagement.

Why legal review is not generic document labeling

A clause can be well written and still be the wrong clause for the governing law, the entity type, or the deal. General annotators score fluency. Legal professionals score whether the reasoning would survive contact with the relevant jurisdiction and practice.

That is why “find a lawyer on a marketplace” is a weak operating model for evaluation programs. The buyer needs a specified cohort: New York securities lawyers for one queue, employment litigators for another, not a blended legal pool.

How reviewers can be specified

Jurisdiction

Governing law, court system, or regulatory regime. A correct Delaware answer can be a wrong English-law answer.

Practice area

The work product a generalist corporate lawyer sees is not the work product a tax specialist sees.

Experience

Years since qualification, deal size, or courtroom exposure change what “acceptable” looks like.

Type of legal work

Research validation, contract markup, memo reasoning, and agent testing are different tasks even inside one practice.

Example practice areas that may be sourced

These categories are examples of how a brief can be written. They are not a published inventory.

  • M&A
  • Corporate law
  • Securities
  • Litigation
  • Tax
  • Employment
  • Bankruptcy
  • Regulatory
  • Commercial contracts

Work types

  • Legal reasoning evaluation
  • Contract review tasks
  • Research validation
  • Benchmark creation
  • Rubric design for legal quality
  • Jurisdiction-specific review
  • Legal agent testing
  • Expert adjudication

Frequently asked questions

Are you providing legal services?
No. Reviewers score and create data for AI systems. The engagement is not legal advice to the public and does not create an attorney-client relationship with website visitors.
Can one attorney cover every queue?
Usually no. Mixing tax, litigation, and capital markets in one rater pool is a common way to manufacture false agreement.
What if two qualified lawyers disagree?
That is expected on hard items. Document the disagreement, escalate to a more senior or more specialized reviewer, and tighten the rubric if the dispute was about the standard rather than the facts.

Request legal expert capacity

Share the profession, specialty, experience, location, headcount, hours, duration, and project description. We assemble the expert capacity.

  • Need 25 licensed nurses for a clinical AI evaluation
  • Need 15 attorneys in a specific practice area
  • Need 20 PhD scientists for benchmark creation
  • Need 30 senior software engineers for code evaluation