The Datasets We Actually Build

No generic "legal AI data." We design training datasets for real-world use: standard jurisdiction packs when you need to move fast, custom builds when you have a very specific problem, and long-term partnerships when the law is moving and your models need to keep up.

Talk About Your Use Case See Standard Datasets

How We Think About 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 Regional Datasets

Ready-made, professionally validated jurisdiction packs. Ideal if you want to move fast and get something into your pipeline without a 3-month scoping exercise.

  • Predefined scope, jurisdiction and practice area
  • Structured Q&A with correct and strategic wrong answers
  • Straightforward per-question pricing

Custom Builds

When your problem does not fit into a template: rare jurisdictions, edge practice areas, multilingual coverage, or data aligned to your internal frameworks.

  • Co-designed with your team and your lawyers
  • Scope, size, and validation levels defined together
  • Milestone-based payments tied to real deliverables

Partnerships & Updates

Laws change. Your models should not quietly drift out of date. We maintain, amend, and extend your datasets over time.

  • Annual maintenance or “data insurance” packages
  • Amendment packs when laws or guidance change
  • Advisory on when and how to retrain

Product 1

Standard Datasets For Popular Jurisdictions

Professionally validated Q&A datasets for high-demand jurisdictions and practice areas. Built from real conversations with lawyers, not just archives and statutes.

What you actually get

  • Q&A pairs based on real attorney surveys and interviews
  • Correct answers grounded in statutes, case law, and practice
  • Strategically incorrect answers that reflect real hallucinations
  • Full metadata: jurisdiction, practice area, difficulty, validation notes
  • JSONL or CSV, ready to drop into your training pipeline

How pricing works

Per-question pricing, with transparent minimums:

  • Standard practice areas: roughly 3–8 USD per Q&A pair
  • Hard or niche domains: roughly 12–25 USD per Q&A pair
  • Rare or premium jurisdictions: up to 50–100 USD per pair

Licensing is flexible: time-limited, perpetual, exclusive or non-exclusive depending on how much competitive edge you want.

Request A Scope & Quote Browse Current Packs

Where we are active today

Jurisdiction Coverage Status
UAE (incl. DIFC) Commercial, employment, tax Shipping now
Jordan Commercial, contracts, tax Shipping now
Saudi Arabia Commercial, employment, regulatory Priority pipeline
US Federal Corporate, securities, IP Pilot builds
EU / UK Commercial, regulatory, privacy/GDPR Scoped on request

Need something not on this list? That is usually a custom build or partnership conversation.

Product 2

When You Need Something That Does Not Exist Yet

Custom datasets for domains, jurisdictions or workflows that do not fit into a template. We design the data with you, your lawyers, and your models in mind.

When this makes sense

  • You are working in niche practice areas or cross-border transactions.
  • You need Arabic–English or other multilingual coverage done properly.
  • You want the data to reflect your internal playbooks and risk models.
  • You need a very explicit validation standard (for example, 50–100 percent lawyer-certified).

How a typical engagement runs

  1. Weeks 1–2: Requirements and use-case mapping with your team.
  2. Weeks 2–3: Finalise scope, size, quality bar, and licensing.
  3. Weeks 3–4: Recruit and brief the right attorneys.
  4. Weeks 4–8: Scenario authoring and Q&A creation.
  5. Weeks 8–10: Multi-layer legal validation and revisions.
  6. Weeks 10–12: Final delivery, documentation, and integration support.

Pricing is project-based and milestone-based. You pay as we hit the agreed gates, not months in advance.

Typical custom project ranges

  • Specialised practice area (for example: tax, healthcare): 30k–80k USD
  • Cross-border or multi-jurisdictional: 50k–120k USD
  • Heavily regulated domains (for example: securities, banking): 60k–200k USD

Exact numbers depend on jurisdiction, depth, and validation level. The point is simple: we commit to a clear scope, clear deliverables, and clear milestones before work begins.

Tell Us What You Need Built

Product 3

Keeping Your Data Current

Laws change quietly. Models do not, unless you tell them to. We monitor the jurisdictions you care about and deliver updates, amendments, and retraining guidance so your AI does not drift.

Annual Maintenance

For a fixed percentage of the initial dataset cost (typically 10–20 percent per year), we keep your data aligned with legal reality.

  • Amendment packs when statutes, regulations or guidance change
  • Deprecated items flagged when they become wrong
  • Updated citations and metadata

Data Insurance Model

For customers who do not want to think about individual updates. A fixed annual fee that covers unlimited incremental changes.

  • Predictable budget, no per-update surprises
  • Continuous small updates instead of big, disruptive overhauls
  • Ideal for production systems in regulated environments

Premium Services

Beyond Just Delivering Files

If you are serious about performance, governance, and smooth integration, we can go further than “here is a dataset, good luck.”

Advanced Metadata & Analytics

Extra signal for model training and evaluation.

  • Difficulty ratings and ambiguity flags
  • Hallucination risk and stability scores
  • Cross-references across scenarios and concepts

Integration Support

We sit with your engineers and help wire the data into your stack properly.

  • Schema mapping and data pipelines
  • Versioning and rollback strategies
  • Evaluation harnesses and test sets

Consulting & Training

Help your team use the data well and measure the right things.

  • Fine-tuning strategy and evaluation design
  • Workshops with your ML and legal teams
  • Ongoing check-ins as you scale

Audit-Ready Provenance

For organisations that need to prove how their data was created and validated.

  • Full audit trails and validator records
  • Certification packs for compliance teams
  • Optional cryptographic or ledger-based sealing

How Our Pricing Works

We want you to know exactly what you are paying for. We would rather be very clear than “competitive but vague.”

Per-question transparency

You see the math: price per Q&A pair times number of pairs. No hidden platform fees, no vague “AI uplift” charges.

Quality never gets discounted

If we lower price, we do it by adjusting license duration or exclusivity, not by cutting corners on legal quality.

Milestone-based for customs

For custom builds, you pay when specific deliverables are accepted. Deposits, then gated releases. It aligns incentives on both sides.

Volume rewards commitment

Multi-dataset and multi-year partnerships come with meaningful discounts. The more we work together, the cheaper it becomes per dataset.

What Better Data Actually Buys You

Lower hallucination rates are not marketing copy for us. They show up in how your product behaves with real users, real lawyers, and real regulators.

Higher accuracy on real tasks

Customers see significant gains on their internal benchmarks when they shift from generic legal crawls to our attorney-built datasets. That is the difference between a demo and a product.

Fewer hallucinations that matter

Because we deliberately include plausible but wrong answers, models learn to avoid entire classes of legal mistakes: fictional cases, misapplied rules, jurisdiction drift.

Audit trails for compliance

You get provenance, validator records, and documentation to bring to internal risk, compliance, or external regulators. It is not just “we used good data,” it is provable.

A foundation you can build on

Once the foundation is in place, you can layer your own knowledge, workflows, and models on top. You are not rebuilding from scratch every time the law or your product shifts.

Questions We Get About Products

Can we start small before committing to a larger deal?

Yes. Many teams start with a smaller standard dataset or a scoped pilot for one jurisdiction and practice area. Once you see the impact on your models, we expand together.

Can we mix your data with our own internal examples?

That is usually the best setup. We provide the structured legal backbone; you layer in your own proprietary workflows, templates, and edge cases. We can help with schema design.

Do you lock us into a specific model provider?

No. We stay model-agnostic on purpose. Our job is to be the best possible data layer, whether you are fine-tuning your own models or using third-party APIs.

Ready To See What This Looks Like For You?

Whether you need a standard UAE or Jordan pack, a custom build in a niche area, or ongoing updates for a production system, we can design the right data layer with you.

Request A Custom Quote Talk To Us About A Pilot