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AI and the Law: Building a Smarter Legal System for Vietnam

Artificial intelligence (AI) is opening a new chapter for the legal field — a domain inherently tied to logic, language, and interpretation. Yet in Vietnam, the development of legal AI remains slow, largely due to the complex structure of the Vietnamese language, which makes semantic understanding difficult for machines.

Associate Professor Võ Trí Hảo, from the Institute of International and Comparative Law (University of Economics and Law – VNU HCMC), argues that AI can transform the way law is written, stored, and operated, making the legal system more efficient, transparent, and cost-effective. To achieve this, however, Vietnam must modernize its legal framework and adopt standardized digital infrastructure.

The Promise of AI — and the Challenge of Vietnamese


AI holds enormous potential in law — more so than in many other sectors — because legal systems depend heavily on text and logic. In advanced jurisdictions like the U.S., U.K., Germany, and China, AI is already being used to analyze cases, predict rulings, and assist judges.

But in Vietnam, AI assistants for the legal field (AIA) still operate mostly at the level of simple legal lookups, lacking the ability to interpret complex legal contexts. This limitation stems largely from linguistic barriers:

  • Vietnamese is monosyllabic and tonal, like Chinese, but uses a Latin-based script, which complicates computational recognition.

  • It has no verb conjugation, few capitalization rules, and no grammatical gender or declension, making it difficult for AI to distinguish between subjects, verbs, and objects.

  • Words often change meaning depending on context — a feature that makes Vietnamese beautiful in poetry but challenging for legal AI models.

These linguistic traits make it difficult for even humans — lawyers, judges, and linguists — to interpret precisely. For AI, the task is even harder.

Key Reforms to Help AI “Understand” the Law

1. Modernize core legal codes.
Vietnam should revise major laws — the Civil Code, Penal Code, Civil and Criminal Procedure Codes — in line with UN standards, explicitly recognizing legal doctrine as a source of law, as stated in Article 38 of the Statute of the International Court of Justice.

2. Standardize legal publications.
All materials related to law — from statutes, dissertations, and academic journals to reports and government proposals — should follow uniform standards issued periodically by the Supreme People’s Court, similar to Incoterms or ISO guidelines.

3. Create a unified “legal operating system.”
Legal texts should be organized like an OS kernel, with clear numbering, references, and linkages — for example:

  • Constitution: No. 0

  • Civil Code: No. 0001

  • Penal Code: No. 0002

  • Civil Procedure Code: No. 0003

  • Criminal Procedure Code: No. 0004, and so on.

This structure would reduce legislative overlap and facilitate AI-based legal interpretation.

4. Establish a “Legal Vietnamese” language layer.
Vietnam needs a specialized variant of Vietnamese for legal drafting — more standardized, structured, and machine-readable. This would help AI systems process legal documents precisely, even before English becomes a widely used secondary legal language.

5. Strengthen constitutional referencing.
Every law should cite the specific constitutional provision it is based on. Decrees and circulars must clearly identify which laws or decrees they interpret, ensuring traceability and preventing “extra-legal” rulemaking. AI could then automatically map and detect inconsistencies across the legal hierarchy.

Digital Transformation of Legal Data

6. Add new metadata elements to every legal document:

  • Keyword table for searchability.

  • QR code for quick access.

  • Unique hash code issued by the National Data Center for document authenticity.

7. Replace the official gazette with a blockchain ledger.
All non-classified legal documents should be published and authenticated through a blockchain-based national gazette. This system would ensure transparency, traceability, and eliminate secret or backdated legal documents — a problem that has persisted for decades.

8. Centralize and monetize legal data for AI training.
Every publication in Vietnam should be required to submit a digital copy to the National Data Center, which would manage copyright payments and allow safe use of this data for AI model training — similar to a “data acquisition for public interest” mechanism.

AI for the Judiciary: From Theory to Practice

The People’s Court of Ho Chi Minh City Region 1 has begun developing a specialized AI system for judicial operations — marking a major step toward building a digital court.

This AI model, built on an open-source language foundation, is trained on internal legal data to analyze case files, interpret laws, and recommend legal reasoning with high precision.

Key features include:

  • Instant document analysis: AI reviews thousands of pages in seconds, minimizing oversight.

  • Automated summaries and indexing: Ensures consistent file organization.

  • Voice interaction: Judges can verbally command searches during hearings.

  • Sensitive data masking: Maintains privacy and confidentiality.

  • Legal basis suggestions: AI proposes potential legal grounds for rulings based on precedent and statute databases.

  • Mind map visualization: Displays relationships between parties, facts, and procedural steps for better comprehension.

While hardware limitations and old document formats still challenge performance, improvements in computing power and digitization will soon overcome these barriers.

Toward a Smarter, Transparent Legal Future

Vietnam’s journey toward an AI-integrated legal system requires more than just technology — it demands legal modernization, data transparency, and linguistic standardization.

As Associate Professor Võ Trí Hảo emphasizes, when law is written, stored, and operated like a unified operating system, AI will not only reduce costs and human error, but also strengthen national governance capacity in the digital era.

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