Legal LLM/AI Fails For One Reason: The Data Is Wrong

Entropy Partners started as a simple conversation about renting a house. It turned into a focused attempt to fix the one thing that quietly breaks most legal AI systems: the data they learn from.

Most models are trained on case law archives and static statutes. Good for research, bad for live conversations. We work with practicing lawyers to create data that reflects real client questions, real edge cases, and the mistakes that should never make it into production. We do not just teach AI what is correct; we teach it what not to say.

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Why Legal AI Needs Different Data

Most legal models don’t break in spectacular ways. They miss in the margins: fictional cases, jurisdiction drift, and answers that sound right until a lawyer reads the second sentence. That is what happens when the data was never built for live, conversational use.

What We Do Differently

We Start With Real Lawyers

We don’t scrape court databases and call it training data. We talk to practicing attorneys about the questions clients actually ask and the mistakes they see repeatedly in real matters.

We Teach AI What Not to Say

For every correct answer, we include carefully crafted wrong answers: the plausible hallucinations your model is likely to produce. This narrows the search space and cuts down confident-but-wrong outputs.

We Custom-Build, Not Cookie-Cutter

Need a specific jurisdiction, practice area, or language pair? We build with your lawyers and validate to your standards instead of forcing you into a generic off-the-shelf dataset.

Delivery Timeline

Milestone-based delivery. Initial 15-20% deposit. Each acceptance unlocks the next deliverable.

Milestone-based delivery timeline Week 0-1 Kickoff & Scope Freeze Deposit 15-20% Week 2-3 Design & Sample Pack Gate A: sample accepted unlocks Sprint 1 Week 4-6 Authoring Sprints Gate B: partial acceptance unlocks next sprint Week 7-9 Legal QA & Holdout Gate C: QA accepted unlocks assembly Week 10-11 Assembly & Readiness Gate D: pre-delivery sign-off Week 12 Delivery & Handoff Final milestone release

Quick Look: Sample JSONL Row

{"id":"uae-tax-000123",
 "jurisdiction":"UAE",
 "practice_area":"Tax",
 "question":"A VAT-registered company receives an advance payment for a future supply. When is the output VAT due?",
 "answer":"Under UAE VAT law, tax becomes due at the earlier of invoice issuance, receipt of payment, or supply date. Here, VAT is due upon receipt of the advance.",
 "irac":{"issue":"VAT timing on advance","rule":"Tax due at earlier of invoice/payment/supply","application":"Payment received before invoice/supply -> VAT due now","conclusion":"Output VAT due upon advance"},
 "citations":["UAE VAT Decree-Law No. 8 of 2017, Art. X"],
 "labels":{"correct":true,"difficulty":"medium"},
 "metadata":{"variant":"base","dataset_split":"train"}}
  

Choose How You Work With Our Data

Start where you are. If you need a fast way to de-risk an experiment, we have standard datasets. If you have a very specific problem, we build bespoke. If you want your models to stay current, we maintain and extend what you already have.

Standard Jurisdiction Packs

You want a fast, clean way to test or improve a model in a known jurisdiction or practice area.

  • Pre-scoped Q&A datasets (UAE, Jordan and more)
  • IRAC structure, correct and strategic wrong answers
  • Ready to drop into a training pipeline
View Standard Datasets

Custom Builds

You have a specific jurisdiction, workflow, or multilingual problem that off-the-shelf data cannot cover.

  • Co-designed with your ML and legal teams
  • Explicit quality bars and lawyer validation levels
  • Milestone-based pricing tied to real deliverables
Explore Custom Projects

Maintenance & Partnerships

You run a live product and need the law, the data, and your models to stay aligned over time.

  • Annual maintenance and “data insurance” options
  • Update packs when statutes or guidance change
  • Optional premium services for integration and audits