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IRAC Explained: Applying Rules to Facts | Law Problem Questions

See IRAC application in action: connect a specific rule to specific facts, weigh missing evidence and try a fictional problem-question exercise.

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Put the method into practice

  • Name the precise issue and checked rule.
  • Explain how each material fact bears on the condition.
  • Give a conclusion with reasons and remaining limits.
V02 / IRAC

Change one fact. Recheck the condition.

Fictional club policy: late bookings are allowed if the organiser approved extra time before the deadline. Maya's email says “I will check whether we can extend it.” Now add a dated reply from before the deadline saying “I approve extra time.” What changes?

Read the answer and rationale

The new fact directly addresses approval and timing. Under the assumed policy, it supports the condition much more clearly than the original promise to check. Confirm the actual date and wording. This illustrates application, not any actual doctrine of contract or other UK law.

Free problem-question guide

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Further reading and original sources

Use the companion guide alongside your module handbook and the original authority. These sources help you check the context and research method.

Full transcript

An answer can contain the right rule and still leave the reader asking: why does it apply here? IRAC helps only when the application shows the connection between a specific rule and specific facts. Let us make that connection visible.

This is an original fictional exercise, not a statement of UK law. For this exercise alone, assume a club's policy allows a late booking if the organiser approved extra time before the deadline. Maya submits a booking late. She says the organiser approved extra time in an email. The email says, 'I will check whether we can extend it.'

The issue is precise: was extra time approved before the deadline? 'Is Maya right?' is too broad. A useful issue identifies the condition you need to investigate.

The rule is the assumed policy. In a real legal problem, you would establish the relevant legal test from the statute or authority you have read, with the correct source reference. A sentence that sounds plausible is not a substitute for that step.

Now application. One weak version says, 'Maya had an email, therefore the booking is allowed.' That jumps over the condition. The better question is whether the email actually approves extra time, and whether it arrived before the deadline.

Maya can point to the organiser discussing an extension. Against that, 'I will check' may express an intention to investigate rather than approval. We also need the email's date and any later reply. Notice that we are weighing facts against the particular condition, not filling a paragraph with every detail in the story.

The conclusion follows those reasons. On this limited information, approval has not been clearly established under our fictional policy. A later message explicitly approving extra time before the deadline could change the analysis. Name that uncertainty instead of inventing the missing message.

Now pause. Which added fact is most directly relevant: Maya's favourite colour, or a dated approval from the organiser? The dated approval addresses the condition we identified. That is why it matters.

In a real problem, there may be several issues, parties and possible arguments. Give each material issue its own reasoning sequence, and follow your module's preferred structure. Do not manufacture an opposing argument when the facts do not support it.

Keep the law close to the facts. Explain the connection. Conclude with the reasons and the limits. The free problem-question guide is below; your final assessed work remains your own.

General study-method education, not legal advice or a universal assessment formula. Fictional examples are original practice, not real cases or university policies. Follow your institution's assessment and AI rules. Durmah is independent of universities and makes no grade, admission or career guarantees. Narration and illustrative student footage are AI-generated.

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