Litigation AI training data, held to a court's standard.
A brief built on a case nobody can find is a sanction waiting to happen. eeko commissions bar-admitted litigators, former clerks, and e-discovery specialists to verify authority, write arguments on invented facts, code documents, and grade what a model argues. Every item fingerprinted, second-reviewed, and licensed.
What is litigation AI training data?
Litigation AI training data is the material a legal research or drafting model learns from and is tested against: a citation checked for whether it is real, whether it stands for the point, and whether it has since been overruled; a motion written on invented facts with the authorities a court would expect; a discovery set coded for responsiveness and privilege; a model's argument graded for accuracy, correct procedure, and honesty about its weak points. If that material comes from scraped filings and generalist annotators, the model learns to sound like a lawyer without reading like one.
The failures are well documented. Authorities that look right and do not exist, real cases cited for propositions they never supported, procedural rules from one court applied in another, arguments stated with a confidence the record does not justify. eeko's data practice commissions credential-checked litigators to write, verify, and grade against the standard a judge would apply, with a second litigator confirming each item.
This page belongs to eeko's human-made AI training data practice, built because the research and document systems we deliver for firms (see our legal AI work) need data nobody has published. See also training data for legal and how eeko verifies human data.
Where legal models go wrong, and what fixes it.
Three failure patterns from legal model evaluations, and the data decision behind each fix.
Legal reasoning datasets and e-discovery annotation, to your spec.
Six request types we fill for legal AI teams, each one starting with a spec, then a pilot, at a fixed per-item price.
- Error taxonomy agreed up front
- See AI evaluation benchmarks
- Practice area and court to order
- Built for supervised fine-tuning data
- Fingerprinted against contamination
- Difficulty graded by litigators
- Coding protocol drafted with your team
- Part of our document datasets
- Page-cited summaries
- Consented or hand-built source material
- Pairwise and ranked comparisons
- Feeds RLHF preference data
From written spec to signed delivery.
Pilot before volume, fixed price per item, and a litigator on both ends of every item.
Every item, provable.
Litigation files are sensitive and legal AI gets challenged. The data behind it should hold up.
What travels with each item
- Fingerprint — a cryptographic hash taken on arrival and compared across the set for duplicates.
- Signed provenance — who wrote or coded it, whether a model proposed any part, and which litigator confirmed it.
- Independent timestamp — proof of when the item existed, from a source we do not control.
- Consent and licence — recorded per item, whether sourced from a consenting party or written new.
- Privacy and origin checks — personal information screened and masked; generator signatures and C2PA or IPTC fields detected.
- Audit trail and receipt — hash-chained history, and a signed receipt naming every item in the batch.
It is the same discipline behind our own compliance and governance work.
Paid remote AI work for litigators.
The skills you use in practice, reading authority closely and testing arguments, from anywhere, with the rate on the job before you take it. No clients, no filings, nothing published under your name.
The work itself
- Verify citations — confirm each authority is real, stands for the point, and has not been overruled, and label every error.
- Write arguments and memos — draft motions on invented facts, with authority that checks out and reasoning a judge could follow.
- Grade model analysis — score answers on accuracy, procedure, and candor using a rubric, and note each deduction.
- Second-review a peer — confirm or correct a colleague's labels and drafts before the batch is delivered.
Jobs come to you when your verified jurisdiction and practice area fit, and every one states its scope, deadline, and rate. Start at apply as an expert, or read how the program works on expert data annotation jobs.
Identity and credentials are confirmed once, before any job is offered. After that, a peer reviews your work, not a generalist QA team.
- Degree JD, LLB, or equivalent
- Admission Admitted in at least one jurisdiction
- Practice Years in litigation, appellate work, or a clerkship
- Practice area Commercial, employment, IP, or similar
- Specialists E-discovery professionals and senior paralegals for review tasks
You see the rate and the scope, then decide. Approved work is credited and paid out with an itemized record.
- Transparent Rate on every job before you accept
- Remote Your schedule, inside the deadline
- Reviewed Second litigator approves, payment releases
- Private Never named on delivered data
Related fields, solutions, and industries.
Litigation AI training data questions.
What is litigation AI training data?
Litigation AI training data is the material a legal research or drafting model learns from and is tested against: citations checked one by one for existence, support, and current validity, motions and memos written to a court's standard on invented facts, discovery documents coded for responsiveness and privilege, and model arguments graded for accuracy and candor. At eeko it is produced by admitted litigators, reviewed by a second, and delivered with a fingerprint, a provenance record, and a licence.
Can you build an evaluation set for citation hallucination?
Yes, and it is one of our most requested sets. Litigators take model outputs containing citations and check each authority three ways: does it exist, does it say what it is cited for, and is it still good law. Each error is labeled by type, which gives you a measurable test of invented authority rather than an anecdote. Each set is scoped to a jurisdiction and practice area and starts with a pilot batch.
Is this work the practice of law?
No. You are producing and checking data for software. You represent no party, advise no one, and what you write becomes training or evaluation material and nothing else. Fact patterns are invented or drawn from consenting sources, and no attorney-client relationship is formed. Every listing says what the data is for before you take it, and your name is never attached to delivered data.
Do I need bar admission to join?
Most litigation jobs require a law degree plus admission somewhere, and we confirm both together with your identity before any work is offered. Document review and coding jobs accept experienced e-discovery specialists and litigation paralegals. Every listing spells out which credentials and which jurisdiction apply, and you only see work matching your verified profile.
How do you vet the litigators?
Identity first, then credentials, including bar admission where the job needs it, all before a single item is offered. Many litigators also sit a short, paid assessment in their own practice area. After that the checking never stops: every item is reviewed by a second litigator, and label provenance names the person behind each judgment and the person who confirmed it, so weak work is visible and traceable.
How much does litigator-made data cost?
Pricing is per item and depends on the task, the jurisdiction, and how much second-litigator review it needs. A citation check costs far less than a full motion with authorities and a rubric. We quote a fixed price for a pilot batch after reading your brief, so you can check the standard and the format before scaling. Exclusive licences are priced separately, and a standing order can add further courts and practice areas over time.
Legal data a judge would not sanction.
Send the jurisdiction, practice area, and the task you need. A real person replies inside one business day with questions and a pilot price. Litigators can apply in minutes. No deck. A ranked list.
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