Legal training data
Legal training data is a collection of statutes, case law, contracts and lawyer-written analysis used to train and evaluate legal AI.
Last reviewed
What legal training data contains
- Case law and statutes
- Contract clause sets
- Lawyer-written memos and redlines
- Evaluation rubrics
Who buys it and how it is priced
| Attribute | Value |
|---|---|
| Belongs to | professional-domain training data |
| Main buyers | Legal-tech companies and labs improving professional reasoning |
| Pricing | Public-law corpora are cheap or free. Lawyer-created work product is priced at expert hourly rates. |
Quality criteria and risks
Quality criteria
- Jurisdiction coverage
- Currency of law
- Attorney review
- Client confidentiality controls
Risks
- Client privilege
- Outdated law
- Licensed database restrictions
Providers that list legal training data
Auction and pricing mechanisms that fit
- Posted-price sale: Fits catalogue datasets that can be sold many times, such as cloud data exchange listings.
- Reverse auction: Fits a buyer that knows what it needs and wants several vendors to compete, such as sourcing expert data from labs.
Key terms
- expert demonstration
- An expert demonstration is a recording of a skilled professional performing a task step by step, used to teach a model the process.
- data licensing
- Data licensing is the grant of rights to use a dataset for stated purposes, in return for payment or other terms.
- rubric
- A rubric is a written set of criteria that tells reviewers how to score or compare a model output.
Frequently asked questions
- Who owns lawyer-written training data?
- It depends on the contract and on client confidentiality. Treat ownership and privilege as questions for the engagement terms, not assumptions.