---
title: "Tabulate drug-screen results and service engagement from the provider reports"
url: "https://ailawframework.com/practice/child-protection-and-care-proceedings/tabulate-drug-screen-results-and-service-engagement-from-the-provider-re"
type: "task"
site: "AI Law Framework"
id: "A52-E20261018-8"
practice_area: "Child Protection & Care Proceedings"
tier: "yellow"
lawyer_review: "required"
last_reviewed: "2026-10-22"
---

# Tabulate drug-screen results and service engagement from the provider reports

> Extract every drug-screen result and every attendance or non-attendance at a program, counselling or contact session from the provider reports and departmental records into a source-tagged table: date, provider, test…

Canonical page: https://ailawframework.com/practice/child-protection-and-care-proceedings/tabulate-drug-screen-results-and-service-engagement-from-the-provider-re  
Last reviewed: 2026-10-22

Site index for agents: https://ailawframework.com/llms.txt

## Key facts

| Fact | Value |
| --- | --- |
| Practice area | [Child Protection & Care Proceedings](https://ailawframework.com/practice/child-protection-and-care-proceedings.md) |
| Human involvement | Yellow: Lawyer and AI draft together |
| How AI is used | Extract every drug-screen result and every attendance or non-attendance at a program, counselling or contact session from the provider reports and departmental records into a source-tagged table: date, provider, test or service, result or attendance, and the page it comes from. |
| What the lawyer must review | The lawyer checks every line against the source report (a mis-transcribed positive result is serious), decides what the pattern shows, and keeps the table as a working document that is not annexed to or used to structure any affidavit. Health and treatment information is handled under the disclosure register. |
| Written for / versions | 1 jurisdiction versions below |

## Checking plan

**Source-by-source verification**

Trace relied-on content to independent sources and check for relevant material the output has missed.

- What the AI does: Extract every drug-screen result and every attendance or non-attendance at a program, counselling or contact session from the provider reports and departmental records into a source-tagged table: date, provider, test or service, result or attendance, and the page it comes from.
- What the lawyer does: The lawyer checks every line against the source report (a mis-transcribed positive result is serious), decides what the pattern shows, and keeps the table as a working document that is not annexed to or used to structure any affidavit. Health and treatment information is handled under the disclosure register.
- Who reviews: Responsible lawyer with competence in the matter
- Basis: Practical workflow informed by the linked primary sources; the traffic light and working checks are editorial guidance, not a court classification.
- Why: The level reflects what the work is, the consequence of an error, and how much of the output the lawyer must independently re-derive.

## Checks the lawyer makes

1. Before anything is relied on, confirm the material may lawfully go into the tool at all (approved tool, no retention or training), that no reporter identity or protected address has been exposed, and that the child cannot be identified from the output.
2. Check every result and attendance against the page cited.
3. Confirm the table is strictly tabular and source-tagged, with no narrative drawn from the client’s own account.
4. Confirm it is not annexed to an affidavit or used as the structure of one.

## Notes

- These are suggested working checks. Confirm the required checking with the responsible lawyer before work starts; the checking approach does not establish permission to use AI.

## Sources

- [Children's Court of NSW Practice Note 15 Requests for the provision of services to facilitate restoration](https://childrenscourt.nsw.gov.au/content/dam/dcj/ctsd/childrenscourt/documents/practice-notes/PracticeNote15-RequestForTheProvisionOfRestorationServices.pdf) (checked 2026-10-18)
- [Children's Court of NSW Practice Note 21 Generative Artificial Intelligence (issued 4 September 2026)](https://childrenscourt.nsw.gov.au/content/dam/dcj/ctsd/childrenscourt/documents/practice-notes/Practice_Note_21__Generative_Artificial_Intelligence.pdf) (checked 2026-10-18)

## Jurisdiction versions

| Jurisdiction | Level |
| --- | --- |
| [United States](https://ailawframework.com/practice/child-protection-and-care-proceedings/tabulate-drug-screen-results-and-service-engagement-from-the-provider-re/united-states.md) | Green |

*Practice guidance for planning and review. Confirm current primary sources and the requirements of the actual matter. This is general information, not legal advice.*