Inspect the evidence
Can a reviewer trace the material proposition to its source?
Nomoy resources
Understand the method, not just the promise.
Practical guidance for evaluating UAE legal and compliance intelligence through its sources, workflows, controls and professional review points.
Useful before the demo
Better questions lead to better legal AI decisions.
A serious evaluation should look beyond a polished answer. It should test the jurisdiction, source set, citation path, data flow, output usability, failure behaviour and the point at which a qualified professional takes responsibility.
Test the boundary
Does the system show uncertainty and refuse unsupported certainty?
Follow the action
Can the output move into a reviewed draft, obligation or approval?
Resource library
Start with the question your team is trying to answer.
These are substantive guides within the Nomoy site. No publication dates, authors or research claims are invented.
How to evaluate legal AI for a UAE legal or compliance team.
Use six lenses: the legal context, source coverage, citation quality, workflow fit, data path and the professional-review model. A strong pilot defines each before measuring speed or fluency.
Read the UAE legal AI guide ↗Why the source boundary belongs in the answer.
Learn how jurisdiction, authority status, effective period and missing support shape an evidence-linked research workflow.
Read the research guide ↗What makes a first-pass review professionally usable.
Move beyond a risk score by keeping the clause, concern, rationale, source and suggested change in one review surface.
Read the contract review guide ↗From selected requirement to evidence-backed action.
Separate interpretation, obligation mapping, owner assignment, evidence and final assessment so responsibility stays clear.
Explore compliance ↗Federal, DIFC and ADGM context should not be blended silently.
See how a scoped source register can distinguish legal frameworks, authority categories and known gaps.
Explore UAE Coverage ↗Questions to answer before real matter data enters a pilot.
Document storage, model processing, provider terms, roles, audit needs and review responsibility without relying on generic trust language.
Read the security checklist ↗How to turn repeated legal work into a governed workflow.
Define inputs, source boundaries, review stages, owners and outputs before deciding what should be automated.
Read the workflow guide ↗Responsible support for future Sharia-governance workflows.
Organise sources, institutional positions, evidence and conflicts while keeping the final determination with qualified scholars and boards.
Read the Nomoy principles ↗A practical evaluation checklist
Ask these questions in every pilot review.
The right questions make marketing claims testable against the actual workflow.
Was the jurisdiction framed correctly?
Confirm the governing law, forum, regulator, time period and language before judging the answer.
Can every material claim be inspected?
Follow citations to the source, page, clause or provision and check that the passage supports the statement.
Does the system show what it does not know?
Test missing documents, conflicting sources, ambiguous instructions and questions outside the approved coverage.
Does the output fit the real work?
Check whether the team can review, edit, approve and export the result in a professionally useful form.
Is the data path documented?
Separate storage and AI processing, then verify providers, locations, training terms, retention and access.
Is human responsibility unmistakable?
Identify the qualified person who reviews the output and the authorised person or body that makes the final decision.
Turn the checklist into a real pilot
Evaluate one workflow from source to decision.
Bring the documents, standards, UAE context and reviewers needed to test the complete path—not only the answer screen.