AI Playbook
Litigation Prompt 24: Discovery Application
Discovery Application — reusable Malaysian civil litigation AI prompt for post-pleadings / pre-trial.
This is a reusable litigation prompt from the Litigation AI Prompt Repository. It is intended for Malaysian civil litigation but can be adapted by changing the placeholders. Use the Universal Litigator Control Block first where source discipline, adversarial review and authority verification matter.
Prompt
Acting for `[PARTY]`, assess and draft the materials for an application for `[GENERAL / SPECIFIC / PRE-ACTION / NON-PARTY]` discovery concerning `[DOCUMENTS OR CATEGORIES]`. For each document or category, identify: - the pleaded issue to which it relates; - why it is likely to exist or have existed; - the person likely to control or possess it; - relevance and necessity; - whether the category is sufficiently specific; - prior requests and responses; - proportionality and burden; - confidentiality or privilege concerns; - the precise order sought. Draft, as applicable: the request letter, Notice of Application prayers, supporting affidavit outline and submissions outline. Avoid fishing requests. Where possible, propose date ranges, custodians, search terms, inspection arrangements and redactions.
Repository section: Interlocutory Applications and Affidavits
Stage: Post-pleadings / pre-trial
Suggested use: replace all square-bracket placeholders before running the prompt. For client-confidential materials, prefer a private or local model where available.
Stage: Post-pleadings / pre-trial
Suggested use: replace all square-bracket placeholders before running the prompt. For client-confidential materials, prefer a private or local model where available.
| Jurisdiction | Malaysia / adaptable |
| Practice Area | Civil Litigation |
| Party Role | Any / as prompt specifies |
| Lifecycle Stage | Post-pleadings / pre-trial |
| Document Type | Interlocutory Applications and Affidavits |
| Prompt Number | 24 |
| Required Inputs | |
| Expected Output | Discovery Application output structured for litigation practice. |
