3.4HR, legal & admin (with caution)
The essentials in 30 seconds
- First draft, never a decision: AI prepares standard templates; it never recruits, sanctions or appraises.
- Zero personal data outside an approved tool; every legal reference is checked against the official source.
- Expert validation required: the document only exists after review by the qualified professional.
Running case — Amine and the risk-free job ad
Amine, a project manager in Algiers, must recruit a technician. He gets a standard job ad drafted (duties, profile, benefits) and an interview template, without pasting any CV or name into the tool. For a regulatory passage, he asks for a plain-language reformulation then re-reads it against the source text. Before release, he gets the whole thing validated by the competent HR person and, for the point of law, plans the opinion of a legal professional.
This same case runs through the lesson, the diagram, the script and the 48h challenge.
1. Excellent first drafts, three red lines
Job ads, job descriptions, interview templates, standard letters, regulatory summaries: AI excels at first drafts of templates, without any individual data.
Three red lines: never any personal data in an unapproved tool, mandatory expert human validation, and maximum vigilance on legal hallucinations (references invented with confidence). Every reference is checked against an official source.
2. AI prepares, the professional validates
Safe uses: standard documents, templates, plain-language reformulation re-read against the source. Uses to rule out without a compliant setup: individual decisions (recruit, sanction, appraise) and employee data.
The circuit: AI writes the first draft, the qualified professional validates, only then does the document exist. The AI output remains a decision aid to be checked, never a decision nor reliable advice on its own.
🔎 Concrete example — The HR kit without personal data
Amine produces templates, not decisions about people.
YES: “Write a job ad for [position]” (zero real data).
YES: “Annual review template, 10 questions per theme”.
NO: pasting a candidate's CV to “assess their application”.Outcome: standard templates allowed, real people forbidden outside an approved tool.
Lesson: each legal reference is checked against the official source.
Section vocabulary
- Personal data
- Anything identifying a person: forbidden outside a company-approved tool.
Simple example: Amine pastes no name, no precise position, no appraisal.
What it is not: a CV pasted to sort applications.
Reflex: work on generic positions, never on people.
- HR first draft
- Standard template (ad, job description, template) without individual data, to be validated.
Simple example: Amine's ad and template, validated by HR.
What it is not: a hiring decision made by AI.
Reflex: ask for templates, not opinions about people.
- Legal hallucination
- A reference or rule invented with confidence: the highest risk in this area.
Simple example: A reference cited by AI that Amine checks against the source.
What it is not: a reference taken at face value and copied.
Reflex: check each reference against the official source.
- Plain language
- Simple reformulation of a public text, always re-read against the source text.
Simple example: Amine gets a public passage simplified then compares.
What it is not: a reformulation adopted without re-reading.
Reflex: re-read the simple version against the original.
- Individual decision
- Recruiting, sanctioning, appraising: AI takes no part in them as a decider.
Simple example: Amine keeps a human for every choice about a person.
What it is not: getting AI to rank candidates.
Reflex: AI to prepare, qualified human to decide.
In practice — The HR kit without personal data
- “Write a job ad for [position]: [sector, size] company, duties, profile, benefits. Attractive but realistic tone, 300 words.” — zero real data needed.
- “Create an annual review template: 10 questions grouped by theme (review, skills, aspirations), with space for notes.”
- Regulatory reformulation: paste a PUBLIC passage of an official text and ask for the “plain language for employees” version — compare with the source text.
- Counter-example NOT to do (mentally): paste a CV to “assess the application” — identify the 3 reasons that forbid it (personal data, bias, individual decision).
Ready-to-say script — framing a safe HR request
“Write a standard job ad for [generic position] and an interview template, without any personal data. I will check each reference against the official source and get it validated by the competent person before any use.”
To paste as is; never add names, CVs or individual situations.
Copy-paste template — cautious HR brief
NEED (standard ad / template / standard letter, WITHOUT personal data): _______________
ZERO PERSONAL DATA (checked yes/no): _______________
REFERENCES TO CHECK (official source): _______________
VALIDATION (HR / legal professional, name + date): _______________Small business / freelancer
Without internal HR: standard templates + external professional validation before any binding use.
SME in Algeria
Amine gets his templates validated in Algiers by the competent HR person and refers any point of law to a legal professional.
Office / employee
Employee or candidate data: only the company-approved tool, never the public assistant.
Beginner
Start with one standard ad and one template, pasting no real data.
✓ Best practices
- Work on standard templates, never on real people.
- Check each legal reference against an official source.
- Always get validation from the qualified professional.
✗ Common pitfalls
- Entering employee data into an unapproved tool.
- Believing an invented legal reference (legal hallucination).
- Letting AI take part in an individual decision (hiring, sanction).
Key takeaways
- Standard templates: yes; real people's data: never outside an approved tool.
- Legal is THE hallucination zone: each legal reference is checked against an official source.
- AI takes no part in individual decisions (hiring, sanction, appraisal).
- Circuit: AI writes the first draft → the qualified professional validates → only then does the document exist.
48h challenge — apply tomorrow
Produce 1 standard ad + 1 template without real data, check 1 reference against the source and list the competent validator.
- I work on types, not on people.
- I check each legal reference.
- I get validation from the qualified professional.
Frequently asked questions
Can I use AI to sort CVs?
Automated sorting of applications is a “high-risk” use under strict rules (transparency, human oversight, non-discrimination). Without a compliant setup approved by the company: no. Help writing the ad or the analysis grid: yes.
Can AI give me reliable legal advice?
It gives useful general guidance for understanding — not advice: texts evolve, cases are specific, and hallucinations exist. Any legal decision goes through a legal professional.
What is the stance on HR/legal professions?