Work Smarter, Not Harder: Top 5 AI Prompts Every Legal Professional in Viet Nam Should Use in 2025
Last Updated: September 14th 2025

Too Long; Didn't Read:
Vietnam's AI push (Decision No.127/QD‑TTg, Jan 26, 2021) plus Decree No.13/2023 (effective Jul 1, 2023) and a two‑year regulatory sandbox make data compliance and prompt‑driven drafting essential in 2025; use ABCDE prompts, Leah extraction, demand‑letter, NDA, and Kialo mapping.
Vietnam's National Strategy on R&D and Application of AI to 2030, launched in 2021, has moved from policy paper to practice in 2025 - bringing Decree No.13/2023, ministerial principles on responsible AI, draft Digital Technology Industry and Personal Data Protection laws, and incentives like a two‑year regulatory sandbox that lets firms test AI products under oversight; these changes mean legal work in VN now centers on data compliance, labeling and explainability rules, risk allocation in contracts, and advising clients on prohibited AI practices and tax/R&D incentives (a regulatory pivot summarized well in Vietnam Briefing's overview).
For busy practitioners the takeaway is pragmatic: adopt risk‑smart workflows and learn prompt‑driven AI drafting and review techniques - skills taught in practical courses such as Nucamp's Nucamp AI Essentials for Work bootcamp - so lawyers can turn evolving AI rules into actionable compliance checklists and contract playbooks instead of surprises.
Document | Issuer / Date |
---|---|
Decision No.127/QD-TTg (National AI Strategy) | Prime Minister - Jan 26, 2021 |
Decree No.13/2023/ND-CP (data/AI alignment) | Issued Apr 17, 2023 - Effective Jul 1, 2023 |
Draft Law on Personal Data Protection (PDP) | Final review May 2025 - Enactment expected Oct 2025 |
“since AI is not a legal entity and does not possess will, morality, or legal responsibility, any negative consequences arising from its use must be explicitly attributed to the individuals or organizations involved, highlighting the critical need for clear legal accountability frameworks.” - Dr. Pham Thi Thuy Nga
Table of Contents
- Methodology - Mastering AI Prompts (Jerry Levine) and selection criteria
- ABCDE Framework (Jerry Levine) - foundational prompt for every Vietnamese lawyer
- Leah (ContractPodAi) - agentic AI prompt for contract extraction and playbooks
- Demand Letter Example (Supply Agreement - January 15, 2024) - drafting prompt template
- Mutual NDA Template (SaaS Healthcare with HIPAA carve-outs) - regulated-contract prompt
- Kialo Visual Map (Kialo) - a prompt to build argument trees for litigation strategy
- Conclusion - ABA Model Rule 1.1, Make in Viet Nam initiative, and next steps
- Frequently Asked Questions
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Methodology - Mastering AI Prompts (Jerry Levine) and selection criteria
(Up)Methodology here leans on proven, lawyer‑friendly prompt engineering: start with ContractPodAi's ABCDE framework - define the AI's role (A), give crisp background and jurisdictional context (B), state exact deliverables (C), set detailed parameters like tone and citation rules (D), and include clear evaluation criteria (E) - then iterate using prompt‑chaining and a prompt bank so outputs become consistently review‑ready rather than uncertain drafts; this approach mirrors Juro's advice to be specific, provide context, request formats, and practice refinement, and it's practical for Viet Nam where prompts must also lock in local law, data‑protection constraints, and enterprise confidentiality safeguards (use legally‑focused platforms for sensitive work).
Selection criteria for the top prompts therefore emphasize clarity, jurisdictional specificity, output format, confidentiality handling, and an evaluation step that flags hallucinations or missing citations - think of a well‑made prompt as the checklist that turns a fuzzy request into a first draft a partner can polish.
For deeper how‑tos, see the ContractPodAi prompt engineering guide and the Juro legal prompt engineering primer for concrete examples and templates.
ABCDE Element | What to Include |
---|---|
A – Audience/Agent | Role and expertise level (e.g., experienced commercial litigator) |
B – Background | Facts, jurisdiction (Viet Nam), relevant statutes or draft PDP context |
C – Clear Instructions | Exact deliverable, format, length |
D – Detailed Parameters | Tone, citation style, confidentiality rules |
E – Evaluation | Criteria for accuracy, citations, and ethical review |
“I tend to prompt AI Assistant to structure its output in an email to the relevant leader. It's a great way of using AI to save yourself some time.” - Michael Haynes, General Counsel, Juro
ABCDE Framework (Jerry Levine) - foundational prompt for every Vietnamese lawyer
(Up)The ABCDE framework from Jerry Levine - A for Audience/Agent, B for Background, C for Clear instructions, D for Detailed parameters, and E for Evaluation - is the foundational prompt every Vietnamese lawyer should script before asking an AI to draft or review a contract, opinion, or demand letter; think of it as a legal-grade preflight checklist that forces the tool to
wear
the right role, lock in Viet Nam jurisdictional context, and return a formatted, citation‑ready first draft rather than a vague paragraph.
In practice that means: A names the AI's persona (experienced commercial litigator or in‑house counsel), B pastes the operative facts and cites local regulatory touchpoints, C specifies the exact deliverable (one‑page demand, redline with comments, clause table), D fixes tone, length, citation style and confidentiality rules, and E gives pass/fail criteria (no hallucinated statutes, cite sources, flag risks).
Use the full framework as shown by ContractPodAi's guide to legal prompting and pair it with practical prompt patterns like MIT Sloan's
provide context and be specific
advice so outputs are immediately usable in Viet Nam workflows - one crisp ABCDE prompt often saves an hour of partner edits, like handing the associate a near‑final draft instead of a blank page.
ABCDE Element | What to Include |
---|---|
A – Audience/Agent | Role, expertise level (e.g., senior commercial litigator) |
B – Background | Facts, contract excerpts, Viet Nam jurisdictional/regulatory context |
C – Clear Instructions | Exact deliverable, format, length (e.g., 700‑word demand letter) |
D – Detailed Parameters | Tone, citation style, confidentiality handling, exclusions |
E – Evaluation | Accuracy checks, citation verification, risk flags for review |
Leah (ContractPodAi) - agentic AI prompt for contract extraction and playbooks
(Up)For Vietnamese legal teams wrestling with large portfolios, Leah from ContractPodAi acts like an agentic legal apprentice that actually understands contracts: Leah Extract can dive into a pile of supplier agreements and automatically pull termination clauses, governing law, and confidentiality terms into neat tables and visuals, while Leah Playbook builds jurisdiction‑aware playbooks from those same precedents so negotiation guidance stays consistent with local policies and evolving PDP needs; firms can also train custom models to reflect Vietnam‑specific clause language, use OCR for scanned legacy files, and rely on enterprise‑grade encryption and ethical guardrails to keep sensitive data protected - making it practical to turn repetitive review work into a predictable, auditable workflow that flags high‑risk terms for lawyers to prioritize (see Leah Legal and Leah Extract for module details).
“It's an advantage to have a system that not only bridges (contract management) gaps, but also has a user-friendly interface.” - Head of Legal, Oil Transportation and Storage Firm (Europe)
Demand Letter Example (Supply Agreement - January 15, 2024) - drafting prompt template
(Up)When a Vietnamese buyer needs to turn a broken supply deal (Supply Agreement - January 15, 2024) into actionable leverage, a short, sharply drafted demand letter is the highest‑impact first move: cite the exact contract clause, summarize the failure, state the remedy sought, and give a clear cure deadline (many practitioners use 7–14 days) while reserving all rights and demanding preservation of evidence such as invoices, delivery receipts and photos; practical templates and step‑by‑step checklists are available (see ConventusLaw's Vietnam breach guide and LeTranLaw's manufacturer breach checklist) and online samples like eForms' demand letter show the compact structure to use.
Frame the drafting as an ABCDE prompt for AI - A: persona (experienced commercial litigator), B: facts and Viet Nam law touchpoints, C: deliverable (one‑page demand with citations), D: tone, deadline and service method (certified mail or bailiff delivery), E: verification checks - so the first draft is litigation‑ready rather than vague.
A crisp demand letter often resolves supplier lapses faster than formal proceedings; think of it as the legal equivalent of switching on a red warning light that forces immediate operational attention.
“According to our contract dated X, you were to deliver 100 units by June 1. As of ...
Mutual NDA Template (SaaS Healthcare with HIPAA carve-outs) - regulated-contract prompt
(Up)When asking an AI to draft a Mutual NDA for a SaaS healthcare deployment with HIPAA carve‑outs, prompt it to treat Vietnam rules as first‑class constraints: specify that health data are sensitive under the PDPD, require explicit patient consent and DPIA/TIA documentation (with the 60‑day filing window), and include mandatory breach‑notification and onshore‑storage triggers so a misplaced patient CSV doesn't sound like a small clerical error but a regulator's red siren; see Vietnam's data protection framework for context (DLA Piper: Data Protection in Vietnam - Legal Overview) and the new Decree 102 rules for digital medical data (Baker McKenzie: Vietnam Decree 102 - Regulations for Managing Digital Medical Data).
The prompt should demand clause-level detail: controller/processor roles, encryption and access controls, permitted HIPAA-covered-entity disclosures and required BAAs, clear cross-border transfer conditions (TIA references, recipient safeguards, and MPS-notification steps), retention and deletion schedules, and tiered remedies/penalties tied to Vietnam's enforcement approach; finish with an evaluation step that flags any implied "legitimate interest" arguments and verifies that HIPAA carve-outs don't clash with Vietnam's consent or localization mandates so the NDA is both operationally useful and inspection-ready.
Kialo Visual Map (Kialo) - a prompt to build argument trees for litigation strategy
(Up)When complex disputes land on a Vietnamese docket, Kialo's research‑backed argument‑mapping platform offers a fast way to turn tangled theories into a disciplined litigation tree: nodes for legal issues, supporting facts, counterarguments and evidence create a visual checklist that teams can use from early case assessment through hearings and client briefings.
Empirical studies show argument mapping reliably boosts critical thinking and makes it easier to spot logic gaps - advantages that translate directly to building timelines, claim charts and demonstratives - so pairing Kialo maps with a practical visual‑strategy playbook (start with key points, audience and timing) helps keep multi‑jurisdictional or technical cases coherent and review‑ready.
Kialo's asynchronous, text‑based debate format is also useful where English is a working language, improving clarity on both legal reasoning and witness narratives, and it dovetails with patent claim‑charting practices that lawyers already use to link claim elements to accused products.
Think of an argument map as a courtroom whiteboard that never erases contradictions: it makes strengths visible, risks obvious, and the team's next move easier to justify in writing or at oral argument (see Kialo's research and a practical guide to visual litigation strategy for implementation tips).
“This platform allows participants to more quickly reach deeper levels of understanding and critical thinking through debate.” - Chaudoin, Shapiro, & Tingley (2017)
Conclusion - ABA Model Rule 1.1, Make in Viet Nam initiative, and next steps
(Up)As Viet Nam's AI rules and the Make in Viet Nam initiative push local legal work toward tech‑savvy delivery, the core ethical yardstick remains unchanged: competence under ABA Model Rule 1.1 means lawyers must understand both the benefits and the limits of generative AI, validate sources, and manage confidentiality and hallucination risk rather than outsource judgment to a black box - a point explored in depth in the practical guidance on using GAI in law practice (Fishman Haygood guidance on generative AI ethics and ABA Model Rule 1.1) and in plain‑language competence primers (SDCBA Ethics in Brief: lawyer competence and AI primer).
Practically speaking, start small: adopt ABCDE prompts as a preflight checklist, require citation checks and human sign‑off, and invest in skills training - for example, structured courses like Nucamp's Nucamp AI Essentials for Work syllabus - so teams turn AI into predictable, auditable assistance; imagine a red warning light on a supplier portal that flags legal risk before a contract breach spirals into litigation, not after.
“a lawyer should keep abreast of changes in the law and its practice, including a reasonable understanding of the benefits and risks associated with relevant technology the lawyer uses to provide services… or transmit information.” - Official Comment [8] to ABA Model Rule 1.1
Frequently Asked Questions
(Up)What are the top 5 AI prompts every legal professional in Viet Nam should use in 2025?
The article recommends five practical prompts: (1) ABCDE foundational prompt - a preflight checklist that sets the AI's role, Viet Nam jurisdictional background, exact deliverable, parameters and evaluation criteria; (2) Leah (ContractPodAi) agentic prompt - contract extraction and playbook generation for portfolio review and clause tables; (3) Demand‑letter drafting prompt template - one‑page, citation‑ready demand with clause citations, remedies and cure deadlines; (4) Regulated Mutual NDA prompt (SaaS healthcare with HIPAA carve‑outs) - clause‑level requirements for controller/processor roles, DPIA/TIA, breach notifications, onshore storage and cross‑border conditions; (5) Kialo argument‑mapping prompt - build litigation/strategy trees (issues, facts, counterarguments, evidence). Each prompt is designed to be jurisdiction‑aware, output a review‑ready format, and include an evaluation step that flags hallucinations or missing citations.
How do I build an ABCDE prompt and what must each element include for Viet Nam matters?
ABCDE = A (Audience/Agent): name the AI persona and expertise level (e.g., senior commercial litigator). B (Background): paste operative facts, contract excerpts and Viet Nam regulatory touchpoints (Decree No.13/2023, draft PDP). C (Clear Instructions): specify the exact deliverable, format, length and citation style (e.g., redline with clause table). D (Detailed Parameters): set tone, confidentiality rules, exclusions and citation formatting; include DPIA/TIA or onshore‑storage constraints where relevant. E (Evaluation): supply pass/fail checks - no hallucinated statutes, cite sources, flag risks and missing facts. Use prompt‑chaining and a prompt bank so outputs become consistently review‑ready rather than vague drafts.
What Vietnam regulatory and policy changes should lawyers lock into AI prompts in 2025?
Key touchpoints to include in prompts: Decision No.127/QD‑TTg (National AI Strategy - Jan 26, 2021), Decree No.13/2023/ND‑CP (data/AI alignment - issued Apr 17, 2023; effective Jul 1, 2023), and the Draft Law on Personal Data Protection (final review May 2025; enactment expected Oct 2025). Also reference ministerial responsible‑AI guidance, the two‑year regulatory sandbox for testing AI under oversight, and Decree 102 rules for digital medical data. Practical effects: emphasize data compliance, explainability/labeling, risk allocation in contracts, breach‑notification and localization triggers, DPIA/TIA requirements and tax/R&D incentives. Prompts should instruct the model to cite these instruments and to flag any conflicts with local PDP constraints.
How should firms handle confidentiality, sensitive data and model selection when using AI for legal work?
Use enterprise‑grade, legally focused platforms (with encryption, access controls and audit logs) for sensitive matters; avoid pasting unredacted PII or client secrets into public LLMs. Build prompts that mandate redaction, require onshore storage or permitted cross‑border transfer clauses, and include DPIA/TIA requirements for health data. Where possible, train private/custom models on anonymized precedents, use OCR for legacy files within secured systems, and keep a human‑in‑the‑loop for final sign‑off. Include an evaluation step to detect hallucinations and require citation verification before filing or client delivery.
What practical workflow changes and training should Vietnamese legal teams adopt to get immediate value from these prompts?
Adopt the ABCDE prompt as a required preflight checklist; create a prompt bank and prompt‑chaining templates (demand letters, NDAs, playbooks, argument maps) so outputs are near‑final drafts. Require citation checks, human sign‑off and documented audit trails for regulated matter. Start small with pilot use cases (e.g., supplier demand letters, NDA drafts, contract extraction) inside the regulatory sandbox where appropriate. Invest in structured training (for example, targeted courses like Nucamp's prompt‑engineering and practical AI drafting modules) so lawyers meet competence duties (ABA Model Rule 1.1 analogue) and can manage hallucination, confidentiality and compliance risks.
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Ludo Fourrage
Founder and CEO
Ludovic (Ludo) Fourrage is an education industry veteran, named in 2017 as a Learning Technology Leader by Training Magazine. Before founding Nucamp, Ludo spent 18 years at Microsoft where he led innovation in the learning space. As the Senior Director of Digital Learning at this same company, Ludo led the development of the first of its kind 'YouTube for the Enterprise'. More recently, he delivered one of the most successful Corporate MOOC programs in partnership with top business schools and consulting organizations, i.e. INSEAD, Wharton, London Business School, and Accenture, to name a few. With the belief that the right education for everyone is an achievable goal, Ludo leads the nucamp team in the quest to make quality education accessible