Civil Law and UAE: Multi-Agent Interaction in Legal Norm Formation

1. Introduction

Multi-agent interaction in legal norm formation refers to situations in which legal rules, standards, practices, interpretations, or expectations are shaped through the interaction of multiple actors rather than by a single legislator or institution.

In the UAE, these “agents” may include:

Federal and local legislatures;

Courts and judicial authorities;

Administrative and regulatory bodies;

Businesses and contractual parties;

Arbitrators;

Professional associations;

Digital platforms;

AI systems and automated decision-making systems;

Consumers and other private actors;

Free-zone institutions such as the DIFC and ADGM.

The important distinction is that interaction among these agents does not automatically create legally binding legislation. In the UAE, formal legislation remains the principal source of law. However, interaction among courts, regulators, commercial actors and technology systems can influence how legal norms are interpreted, operationalised, developed and applied.

This issue is becoming particularly important because the UAE now has sophisticated digital courts and specialised institutions dealing with technology-related disputes. The DIFC Courts, for example, have issued specific guidance on the use of generative AI in proceedings, requiring transparency, verification and human responsibility. (DIFC Courts) 

2. Meaning of Multi-Agent Legal Norm Formation

Traditional legal theory can be represented as:

Legislature → Statute → Court → Judgment → Legal consequence

A multi-agent model is more complex:

Legislature + Courts + Regulators + Businesses + Arbitrators + Technology + Society → Interpretation/Application → Emerging Norms

For example:

Parliament creates a broad statutory rule.

A regulator issues implementing standards.

Businesses develop contractual practices.

Courts interpret disputes arising from those practices.

Arbitrators develop commercially accepted approaches.

Digital platforms standardise particular contractual procedures.

AI systems increasingly assist in analysing legal material.

Subsequent courts may rely upon earlier interpretations.

This creates a network of normative interaction.

However, it is important not to confuse:

formal law, and

soft norms, contractual standards, industry practice or technological practices.

Only the competent legal authority can create legislation with the force attributed to legislation.

3. UAE Civil-Law Foundation

The UAE's current Civil Transactions framework is particularly important.

Federal Decree by Law No. 25 of 2025 introduced the new Civil Transactions Law and repealed Federal Law No. 5 of 1985, with the new law taking effect on 1 June 2026. The new framework provides rules concerning legislation, interpretation, custom, rights, obligations and civil liability.

The framework demonstrates that UAE civil law itself recognises that written legislation may interact with Sharia principles, custom and principles of justice when resolving matters not expressly settled by legislation.

Thus, norm formation is not purely mechanical. There is a structured hierarchy for dealing with legal uncertainty.

Basic conceptual hierarchy

Legislation

↓

Interpretation of legislation

↓

Recognised principles of Islamic jurisprudence where relevant

↓

Custom (Urf), where legally admissible

↓

Principles of natural law and justice where the statutory framework permits their use

This does not mean that private parties can legislate for themselves. Rather, it demonstrates that legal application can involve several normative inputs.

4. Agents Participating in Norm Formation

A. Legislature

The legislature is the primary formal law-making agent.

It establishes:

mandatory rules;

prohibitions;

rights;

liabilities;

institutional powers;

procedural frameworks.

Private actors cannot override mandatory statutory provisions simply by creating their own “norm.”

B. Courts

Courts play an important role in interpretive norm formation.

Judicial decisions can determine:

the meaning of contractual language;

the scope of statutory provisions;

the availability of remedies;

the relationship between competing legal principles;

the treatment of new technologies;

procedural standards.

Judicial interpretation therefore contributes to the development of operational legal norms.

C. Regulators

Regulators translate broad legislation into practical requirements.

Examples include regulators dealing with:

financial services;

securities;

virtual assets;

data;

telecommunications;

competition;

consumer protection.

Regulatory standards can therefore form an important layer between legislation and private conduct.

D. Contracting Parties

Businesses and individuals can create contractual norms.

For example, parties may agree upon:

payment mechanisms;

dispute-resolution procedures;

information-sharing standards;

technical specifications;

performance standards;

automated contractual processes.

But contractual autonomy operates within mandatory legal limits.

E. Arbitrators

Arbitrators can contribute to commercial norm development through interpretation of:

contracts;

trade practices;

industry standards;

arbitration agreements;

internationally recognised commercial principles.

Their influence is generally dispute-specific, rather than equivalent to legislation.

F. Digital Platforms

Platforms can establish practical rules through:

terms of service;

automated procedures;

ranking systems;

payment rules;

dispute-resolution mechanisms;

algorithmic decision-making.

Their rules can influence conduct, but a platform does not become a legislature merely because millions of people use its rules.

G. AI Systems

AI creates a new layer.

An AI system can:

classify legal information;

recommend contractual terms;

identify precedents;

predict potential outcomes;

generate legal documents;

assist decision-makers.

But AI assistance does not itself confer legislative authority.

The DIFC Courts' AI guidance expressly emphasises verification, transparency and the continued importance of human decision-making. (DIFC Courts)

5. Multi-Agent Interaction and Legal Interpretation

A central issue is whether multiple agents can influence the interpretation of a legal rule.

The answer is yes in a practical sense, but within a legally defined hierarchy.

Consider:

Statute → contract → regulatory practice → dispute → judicial interpretation.

Each layer can provide information relevant to the final legal determination.

For example, a court may consider:

statutory language;

contractual language;

commercial context;

established practice;

conduct of the parties;

applicable regulations.

But the court remains responsible for determining the legal consequence.

6. Case Law

Because there is no UAE case establishing a general doctrine expressly called “multi-agent interaction in legal norm formation,” the following cases are best understood as authorities illustrating the constituent principles: judicial interpretation, contractual norm creation, technology-mediated transactions, attribution, and emerging digital legal structures.

1. Gate Mena DMCC v Tabarak Investment Capital Ltd

Gate Mena DMCC (formerly Huobi OTC DMCC) & Huobi Mena FZE v Tabarak Investment Capital Ltd [2024] DIFC DEC 002

This is particularly significant because it arose before the DIFC Digital Economy Court and involved cryptocurrency-related commercial activity.

The case illustrates how traditional contractual interpretation operates within technologically sophisticated commercial environments.

The importance for multi-agent norm formation is that:

technology creates new commercial practices;

parties create contractual arrangements;

courts interpret those arrangements;

judicial reasoning converts the dispute into a legally enforceable outcome.

The case therefore demonstrates interaction between technology, commercial actors and judicial authority. (DIFC Courts)

Principle: technological innovation may change the factual environment in which legal norms operate without transferring ultimate legal authority from courts or legislation to technology.

2. Techteryx Ltd v Aria Commodities DMCC & Others

Techteryx Ltd v Aria Commodities DMCC, Mashreq Bank PSC, Emirates NBD Bank PJSC & Abu Dhabi Islamic Bank PJSC [2025] DIFC DEC 001

This Digital Economy Court litigation concerned approximately USD 456 million associated with reserves backing the TrueUSD stablecoin and involved proprietary and worldwide freezing relief. (DIFC Courts)

The case is important for understanding how traditional civil remedies interact with:

digital assets;

blockchain-related commercial structures;

financial institutions;

trusts;

proprietary claims;

worldwide injunctions.

It demonstrates that new technological environments do not necessarily require a completely separate system of civil justice. Existing concepts can be applied and adapted to new factual structures.

Principle: emerging technologies may generate new factual problems while traditional legal concepts continue to provide the normative framework.

3. Ashok Kumar Goel v Credit Suisse (Switzerland) Ltd

Ashok Kumar Goel & Others v Credit Suisse (Switzerland) Ltd [2021] DIFC CA 002

The DIFC Court of Appeal considered questions concerning jurisdiction and guarantees. The case demonstrates the importance of identifying the applicable legal framework rather than assuming that commercial practice alone determines jurisdiction.

The court's role was to determine the legal consequences of the parties' arrangements according to the applicable legal rules. (DIFC Courts)

Principle: private actors can generate contractual expectations, but legal enforceability remains controlled by the applicable legal system.

4. Lals Holdings Ltd v Emirates Insurance Company

Lals Holdings Ltd v Emirates Insurance Company (PSC) & Siaci Insurance Brokers LLC [2024] DIFC CA 002

The case illustrates judicial interpretation of contractual language and the importance of examining the agreement as a whole and the parties' objective contractual intentions.

This is relevant to multi-agent norm formation because commercial parties initially create a contractual framework, while the court determines its legal meaning when disagreement arises. (DIFC Courts)

Principle:

Private contractual norm → judicial interpretation → enforceable legal consequence.

5. Alucor Ltd v Rohr Rein Chemie Middle East LLC

Alucor Ltd v Rohr Rein Chemie Middle East LLC [2021] DIFC TCD 001

The dispute involved a subcontract concerning the Al Taweelah Alumina Refinery Project. The agreement selected English law and contained a jurisdiction clause referring disputes to the DIFC Courts. Proceedings had also been commenced in the Dubai Courts. (DIFC Courts)

This illustrates interaction between:

contractual choice;

jurisdictional rules;

UAE procedural institutions;

DIFC jurisdiction;

judicial determination.

Principle: contractual choices participate in the normative structure of a dispute, but their effectiveness depends on the legal system recognising and enforcing those choices.

6. Panther Real Estate Development LLC v Modern Executive Systems Contracting LLC

Panther Real Estate Development LLC v Modern Executive Systems Contracting LLC [2022] DIFC CA 016

This construction dispute involved a FIDIC-based contractual framework and DIFC governing law.

The case illustrates how sophisticated commercial contracts incorporate:

industry standards;

technical rules;

contractual mechanisms;

dispute-resolution provisions;

statutory and judicial principles.

The court ultimately determines how these multiple normative sources operate together. (DIFC Courts)

Principle: commercial contracts can contain complex private norms, but their legal force ultimately derives from the applicable legal system.

7. Alucor and Technology-Convergence Principle

Alucor is particularly useful in a broader technological context because the dispute involved an international commercial project and competing UAE judicial forums.

It demonstrates that a legal dispute may involve several interacting normative systems without necessarily producing a single unified “private law.”

This becomes increasingly important where:

technology contracts;

construction contracts;

financial contracts;

digital assets;

arbitration clauses

operate simultaneously.

8. Alarabi Investments Ltd v Cron AI Ltd

Alarabi Investments Ltd v Cron AI Ltd [2026] DIFC CFI 030

This recent DIFC case directly demonstrates that disputes can involve entities operating in the AI sector. The published decision concerned procedural applications relating to a default judgment and its proposed setting aside. (DIFC Courts)

It should not be overstated as a case establishing independent legal personality for AI.

Its importance here is narrower: AI-related businesses are increasingly becoming subjects of ordinary civil and commercial litigation.

Principle: the involvement of an AI business or AI technology does not itself create a separate category of legal personhood.

7. AI as an Agent: The Central Legal Problem

The most important theoretical question is:

Can an AI system itself become a legal norm-forming agent?

Under present UAE law, the safer answer is:

AI may be an operational or technological agent, but it is not thereby a legislative or independent legal agent.

For example, an AI system may:

draft a contract;

recommend a clause;

classify conduct;

recommend a dispute outcome;

identify legal authorities.

But the legal consequences generally remain attributable to:

the person;

company;

institution;

authorised decision-maker; or

other legally recognised entity

responsible for the system.

The DIFC's own guidance is particularly clear that AI-generated material must be checked and that AI should assist rather than replace the human decision-making required in court proceedings. (DIFC Courts)

8. Automated Transactions Under UAE Law

UAE electronic-transactions legislation is important to this discussion.

The UAE's electronic-transactions framework recognises that contracts can be formed electronically and that transactions may occur through automated electronic systems.

This produces an important distinction:

Automated contracting ≠ autonomous law-making.

An automated system may execute a transaction according to pre-programmed instructions.

For example:

Buyer → digital platform → automated matching system → seller → contract

The system may determine how the transaction is technically executed.

But the underlying legal authority comes from:

applicable legislation;

contractual consent;

recognised legal personality;

regulatory authority.

Therefore:

Automation can produce legal consequences without creating legislative authority.

9. Multi-Agent Norm Formation in Digital Markets

Consider a digital marketplace.

Agent 1 — Legislature

Creates consumer and commercial rules.

Agent 2 — Regulator

Creates sector-specific requirements.

Agent 3 — Platform

Creates terms of service.

Agent 4 — Seller

Creates commercial terms.

Agent 5 — Buyer

Accepts or negotiates the terms.

Agent 6 — Algorithm

Matches buyers and sellers.

Agent 7 — Arbitrator/Court

Resolves disputes.

The resulting normative structure may look like:

Statute

↓

Regulation

↓

Platform rules

↓

Contract

↓

Algorithmic implementation

↓

Dispute

↓

Judicial/arbitral interpretation

This is a classic example of multi-agent interaction.

10. Limits on Multi-Agent Norm Formation

The concept has important legal limits.

1. No private legislation

A company cannot declare that its internal policy overrides mandatory UAE legislation.

2. No algorithmic sovereignty

An algorithm cannot claim independent legal authority merely because it controls a digital process.

3. No automatic precedent

A private platform's decision does not become judicial precedent simply because many users follow it.

4. Contractual limits

Contractual freedom is subject to mandatory law, public order and other applicable restrictions.

5. Regulatory limits

A regulator's authority must come from the applicable legal framework.

6. Judicial limits

A court interprets and applies law; it does not normally create legislation in the same manner as the legislature.

7. AI accountability

AI-generated legal material must be verified and cannot simply be treated as authoritative because an AI system produced it. The DIFC guidance expressly warns about incorrect information, confidentiality, intellectual property and data-protection risks. (DIFC Courts)

11. DIFC and ADGM: Special Importance

The UAE's legal environment is particularly interesting because it contains multiple legal jurisdictions.

Mainland UAE

Primarily operates under the federal UAE legal framework and emirate-level laws where applicable.

DIFC

Has its own legal and judicial framework and a specialised Digital Economy Court.

ADGM

Has its own civil and commercial legal framework, including direct application of English common law and its own courts. (adgm.com)

ADGM also operates a highly digital court system involving electronic filing, digital evidence and electronic hearings. (adgm.com)

Consequently, “multi-agent interaction” in the UAE may involve not only different actors but also different legal regimes.

12. Legal Pluralism and Multi-Agent Interaction

This produces a second layer:

Multiple actors

Multiple legal institutions

Multiple technological systems

=

Complex normative environment

For example:

A fintech company operates in a free zone → uses blockchain → contracts with a UAE mainland company → uses an automated platform → dispute reaches a specialised court.

The legal analysis may require determining:

Which jurisdiction applies?

Which law governs?

Which court has jurisdiction?

What contractual rules apply?

What regulatory requirements apply?

What evidentiary rules apply?

Who is legally responsible for automated conduct?

Thus, multi-agent norm formation is closely connected with legal pluralism.

13. Role of Courts in Controlling the Network

The court acts as an important normative coordinator.

Suppose five different agents produce competing rules:

platform rule;

contractual rule;

industry standard;

regulatory guidance;

statutory requirement.

The court must determine their legal hierarchy.

A simplified hierarchy is:

14. Multi-Agent Interaction and Legal Responsibility

One of the biggest problems is attribution.

Suppose an AI platform incorrectly rejects a consumer's claim.

Who is responsible?

Potentially:

the platform operator;

the software developer;

the contracting entity;

a human decision-maker;

a regulated institution;

another party depending on contractual and statutory duties.

The key question is:

Who had the legal duty, control, authority and responsibility for the relevant conduct?

The fact that an algorithm produced the result does not automatically answer that question.

15. Human-Agent and Machine-Agent Interaction

A useful legal model is:

Human → Machine

Human programs AI.

Machine → Human

AI recommends an action.

Machine → Machine

Automated systems interact.

Human → Human

Traditional contractual or legal decision-making.

Institution → Machine

Regulator or court establishes rules governing technological systems.

The most legally significant relationship remains:

Machine output → legally responsible human/entity → legal consequence

rather than:

Machine output → independent legal personality → legal consequence.

16. Importance of Transparency

Multi-agent legal systems require transparency.

The DIFC's AI guidance specifically identifies transparency as a core principle and expects parties to disclose the use and source of AI-generated content in proceedings. (DIFC Courts)

Transparency helps answer:

Who generated the decision?

What data was used?

What rules were applied?

Was an algorithm involved?

Was human review performed?

Who is legally accountable?

Without such information, judicial review becomes difficult.

17. Importance of Human Oversight

Human oversight is particularly important where an AI system affects:

contractual rights;

property;

financial interests;

access to justice;

evidence;

reputation;

regulatory compliance.

The DIFC guidance specifically warns against excessive reliance on generative AI and stresses that AI should not replace the human decision-making integral to legal proceedings. (DIFC Courts)

Therefore:

Human oversight acts as a legal accountability bridge between technological output and legal responsibility.

18. Multi-Agent Norm Formation and Custom

Custom is another important dimension.

Commercial communities may develop practices concerning:

trade;

payment;

delivery;

digital assets;

banking;

construction;

insurance.

Where legally recognised, established custom can help determine legal consequences.

But custom cannot simply override mandatory legislation.

Thus:

Repeated practice ≠ automatically binding law.

Its legal relevance depends upon the applicable legal framework and the conditions under which custom is legally recognised.

19. Multi-Agent Interaction and Smart Contracts

Smart contracts provide an excellent example.

Suppose:

Party A → smart contract → Party B

The smart contract automatically transfers a digital asset after a specified condition occurs.

There are potentially several layers:

underlying agreement;

code;

digital transaction;

statutory rules;

regulatory requirements;

court interpretation.

The code may determine what happens technically, but the legal system determines what happens legally when the parties dispute the transaction.

Therefore:

Code can operationalise a rule without becoming the legal source of the rule itself.

20. Case-Law Principles in Summary

These cases are predominantly DIFC authorities. They are useful for illustrating UAE-based commercial and technological legal development, but they should not be treated as binding precedent for mainland UAE courts merely because they are UAE cases.

21. Main Legal Principles

Principle 1 — Formal legislation remains primary

Multi-agent interaction does not eliminate the legislative hierarchy.

Principle 2 — Courts are central normative interpreters

Courts determine how competing legal and contractual rules operate in concrete disputes.

Principle 3 — Contracts create private norms

Parties can establish binding rules between themselves, subject to mandatory law.

Principle 4 — Technology can operationalise norms

Algorithms and smart contracts can implement agreed rules.

Principle 5 — AI does not automatically become a legal person

AI-generated activity must generally be legally attributed to recognised persons or entities.

Principle 6 — Regulatory agencies add implementation layers

Regulators translate statutory authority into operational standards.

Principle 7 — Custom can influence legal development

Where legally recognised, commercial practice can supplement written rules.

Principle 8 — Human accountability remains essential

AI assistance does not eliminate legal responsibility.

Principle 9 — Digitalisation changes the method, not necessarily the source, of legal authority

Digital courts and AI tools can transform legal processes without transferring legislative sovereignty to technology.

Principle 10 — Legal pluralism complicates norm formation

Mainland UAE, DIFC and ADGM operate within different legal frameworks, so the applicable jurisdiction must always be identified.

22. Practical Example

Imagine a UAE fintech platform using AI.

Stage 1

Federal legislation establishes the basic legal requirements.

Stage 2

A regulator issues detailed requirements.

Stage 3

The fintech company creates its customer agreement.

Stage 4

The AI system automatically assesses transactions.

Stage 5

The platform develops internal risk rules.

Stage 6

A customer challenges an automated decision.

Stage 7

The dispute reaches a competent court.

Stage 8

The court determines:

applicable law;

contractual obligations;

regulatory requirements;

validity of automated action;

evidence;

causation;

liability;

remedy.

Thus:

Legislation → Regulation → Contract → Algorithm → Conduct → Dispute → Judicial determination

This is the practical structure of multi-agent interaction in modern civil law.

23. Challenges

A. Attribution problem

Who is responsible for an AI-generated decision?

B. Authority problem

Which actor has the legal authority to create the relevant norm?

C. Transparency problem

Can affected parties understand how the decision was reached?

D. Conflict problem

What happens when platform rules conflict with legislation?

E. Jurisdiction problem

Which UAE legal system applies?

F. Accountability problem

Can a human decision-maker rely completely on an automated recommendation?

G. Adaptability problem

Can traditional civil-law principles deal effectively with technologies that change faster than legislation?

24. Future Development

The UAE's development of specialised digital justice infrastructure suggests that future civil-law development will increasingly involve interaction among:

Lawmakers + Courts + Regulators + Businesses + Digital Platforms + AI + Arbitration + Users

The DIFC's formal guidance on generative AI and its Digital Economy Court demonstrate that legal institutions are already adapting procedural and judicial practices to technological developments. (DIFC Courts)

ADGM similarly combines a digital court environment with its own civil and commercial legal framework and direct application of English common law. (adgm.com)

The future issue therefore is not simply whether machines can “make law,” but how legally authorised human and institutional actors will use technology while preserving accountability and the hierarchy of legal authority.

25. Conclusion

Multi-agent interaction in legal norm formation in UAE civil law describes the interaction of legislation, courts, regulators, businesses, contractual parties, arbitrators, digital platforms and emerging technologies in shaping how legal rules operate.

The most important distinction is:

Influence on legal development is not the same as legal authority to legislate.

A platform may create contractual rules.
A regulator may create binding regulatory standards within its authority.
A court may establish an authoritative interpretation.
An arbitrator may determine a dispute.
An AI system may generate recommendations or execute programmed instructions.

But these actors do not all possess the same legal authority.

The UAE's emerging digital-law environment therefore supports a model of distributed interaction but structured legal authority.

Exam formula

Multi-Agent Legal Norm Formation = Legislation + Judicial Interpretation + Regulation + Contract + Custom + Technology + Human Accountability

Short revision points

Multi-agent norm formation involves several actors influencing the operation of legal rules.

UAE legislation remains the primary formal source of civil-law authority.

Courts transform abstract rules into concrete legal consequences.

Contracts create private norms subject to mandatory law.

Regulators provide operational standards within delegated authority.

Digital platforms create rules mainly through contractual and technological mechanisms.

AI can assist legal processes but does not automatically possess legislative authority or legal personality.

DIFC and ADGM provide important examples of technologically advanced UAE legal environments.

Gate Mena, Techteryx, Lals Holdings, Alucor, Panther and Ashok Kumar Goel illustrate different dimensions of the interaction.

The central principle is distributed normative interaction with legally structured authority.