Civil Law and UAE Codification Challenges Under Technological Acceleration

1. Introduction

Codification means organizing legal rules into a systematic written code so that courts, lawyers, businesses, and citizens can understand and apply them consistently.

The UAE has historically relied heavily on comprehensive federal legislation, particularly the Civil Transactions Law, together with special legislation for commercial transactions, evidence, procedure, electronic transactions, data protection, artificial intelligence, cryptocurrencies, and other emerging fields.

Technological development, however, creates a major codification challenge:

Technology changes faster than legislation can normally be enacted, amended, interpreted, and consolidated.

Artificial intelligence, blockchain, smart contracts, digital assets, autonomous systems, deepfakes, cloud computing, algorithmic decision-making, and new digital business models can therefore create situations that were not expressly contemplated when traditional civil-law rules were drafted.

The central challenge is to maintain a balance between:

Legal certainty + technological neutrality + innovation + protection of rights.

2. Meaning of Codification Under Technological Acceleration

Traditional codification generally follows this sequence:

Social/Commercial Practice → Legal Problem → Legislation → Judicial Interpretation → Amendment

Technological acceleration can reverse the timing:

New Technology → Immediate Legal Use → Dispute → Judicial Interpretation → Later Legislation

For example, a traditional Civil Code may contain rules on:

contracts;

ownership;

possession;

damages;

agency;

evidence;

liability.

But technology may create questions such as:

Who owns a tokenized asset?

Is an AI-generated output attributable to a person?

Who is liable for autonomous-machine damage?

Can a smart contract be legally terminated?

Is algorithmic evidence reliable?

How should deepfake evidence be authenticated?

Who is responsible when an AI system makes an erroneous decision?

These questions expose gaps between traditional legal categories and technologically transformed relationships.

3. UAE's Modern Codification Environment

The UAE's current civil-law framework is particularly important because the Federal Decree-Law No. 25 of 2025 promulgating the Civil Transactions Law entered into force on 1 June 2026, replacing the 1985 Civil Transactions Law.

This creates both an opportunity and a challenge.

Opportunity

The new code can provide modern principles capable of applying to technological relationships.

Challenge

Technology continues to develop after the code is enacted.

Therefore, codification cannot simply be a one-time exercise.

It increasingly requires:

Continuous legal modernization.

4. Major Codification Challenges

4.1 Speed of Technological Change

Legislation normally requires:

policy development;

consultation;

drafting;

legislative approval;

publication;

implementation.

Technology can develop within months.

For example:

Generative AI → AI agents → autonomous AI systems → machine-to-machine transactions

may develop faster than a conventional statutory amendment cycle.

This creates the risk of legal obsolescence.

5. Technology-Neutral Drafting

One solution is technology-neutral legislation.

Instead of legislating for one specific technology, legislation can regulate the underlying legal relationship.

For example, instead of saying:

“A blockchain transaction shall be treated as…”

a technologically neutral rule might regulate:

“An electronically recorded transaction satisfying specified authenticity and integrity requirements…”

This allows the law to remain applicable when technology changes.

Advantage

Greater durability.

Disadvantage

Excessive generality may create uncertainty.

Thus:

Too specific → rapid obsolescence

Too general → uncertainty

The UAE codification challenge is to find the appropriate middle ground.

6. Artificial Intelligence and Civil Liability

AI creates difficult questions concerning traditional civil-law liability.

Consider:

AI Developer → AI System → User → Harm

Who is legally responsible?

Possible defendants include:

developer;

manufacturer;

provider;

deployer;

employer;

operator;

professional user.

Traditional civil liability generally requires identification of the relevant legal duty, wrongful conduct, damage, and causation.

AI complicates each element.

Example

An AI system used by a company makes an incorrect recommendation that causes financial loss.

Questions include:

Was the system defective?

Was it negligently deployed?

Was human supervision required?

Did the user ignore warnings?

Was the result reasonably foreseeable?

Was the training data defective?

Was the harm caused by the AI or the human decision-maker?

A Civil Code therefore needs sufficiently flexible rules to allocate responsibility without necessarily treating AI as an independent legal person.

7. Autonomous Systems and the “Legal Person” Problem

Traditional civil law generally attaches liability to:

natural persons;

juridical persons;

persons exercising control over things;

persons with contractual duties.

Autonomous systems challenge this structure.

An autonomous vehicle, robot, or AI agent can perform actions without immediate human intervention.

But giving an AI system full legal personality raises difficult questions concerning:

assets;

insurance;

liability;

representation;

enforcement;

insolvency;

accountability.

A more practical approach is often:

Maintain human or corporate responsibility while creating special rules for autonomous technologies.

8. Smart Contracts

Smart contracts create another codification challenge.

A traditional contract involves:

Offer → Acceptance → Agreement → Performance

A smart contract may operate as:

Digital Agreement → Code → Automatic Execution

The problem is that legal intention and computer code are not always identical.

Questions include:

What constitutes consent?

Which version of the code controls?

What if the code contains an error?

Can a court order reversal?

Can an automatically executed transaction be rescinded?

Who bears programming risk?

What happens when force majeure occurs?

Traditional contract doctrines may still apply, but statutory clarification can improve certainty.

9. Digital Assets and Property Classification

Traditional property law commonly distinguishes:

movable property;

immovable property;

tangible property;

intangible rights.

Digital assets challenge these classifications.

Examples include:

cryptocurrencies;

NFTs;

tokenized securities;

digital licences;

virtual assets;

blockchain-based rights.

The legal question is not simply:

“Is it digital?”

Instead:

What legal interest does the digital asset represent?

This may determine:

ownership;

transfer;

succession;

security interests;

attachment;

insolvency treatment;

remedies.

10. Electronic Evidence and Codification

Technology also changes the meaning of evidence.

Modern disputes may involve:

emails;

WhatsApp messages;

blockchain records;

metadata;

cloud records;

AI-generated documents;

digital signatures;

biometric authentication;

server logs.

The UAE's Federal Decree-Law No. 35 of 2022 on Evidence in Civil and Commercial Transactions is therefore an important part of the modern legal infrastructure.

The codification challenge is not merely recognizing electronic evidence.

It is determining:

Authenticity + Integrity + Attribution + Reliability

11. Deepfakes and Synthetic Evidence

Generative AI creates an unusual evidentiary problem.

A photograph, voice recording, or video may appear genuine but may have been synthetically generated.

Traditional evidence rules may therefore require technological adaptation.

For example:

A party produces a video allegedly showing the defendant making a statement.

The opposing party claims it is an AI-generated deepfake.

The court may need:

forensic examination;

metadata analysis;

device records;

chain-of-custody evidence;

expert evidence;

corroborating communications.

Codification must therefore remain sufficiently flexible to accommodate new methods of falsification.

12. Blockchain and Immutability

Blockchain records are often described as immutable, but immutability does not automatically establish legal truth.

A blockchain can establish that:

“A particular digital record exists.”

But additional questions remain:

Who controlled the wallet?

Was the transaction authorized?

Was the private key compromised?

Does the transaction represent legal ownership?

Was there fraud?

Was there mistake?

What contractual relationship existed?

Thus:

Technical validity ≠ Automatically legal validity

This distinction is important for civil-law codification.

13. Cybersecurity and Civil Liability

Cyberattacks create another problem.

Suppose:

Cyberattack → System failure → Customer loss

Potential legal questions include:

Who had the duty to secure the system?

Was reasonable cybersecurity implemented?

Did the victim contribute to the loss?

Was the attack foreseeable?

Was the attacker an independent third party?

Does force majeure apply?

What contractual risk allocation exists?

Civil-law rules concerning fault, causation, external causes, contractual obligations, and damages can provide the foundation.

But technological legislation may be needed for more specific situations.

14. Algorithmic Decision-Making

Algorithms increasingly influence:

finance;

insurance;

employment;

credit;

healthcare;

commerce;

logistics.

A person harmed by an automated decision may ask:

“Why was this decision made?”

This creates a tension between:

Trade secrets + technological complexity

and

Transparency + procedural fairness + proof.

Civil-law codification must determine when a party should have obligations concerning:

explanation;

human review;

auditability;

documentation;

data accuracy.

15. Data as an Economic Asset

Traditional civil-law codes were largely developed around physical and contractual assets.

Modern commerce increasingly depends on:

personal data;

business data;

databases;

behavioural information;

AI training data.

This creates difficult classification questions.

Is data:

property?

an economic interest?

a contractual asset?

a privacy interest?

intellectual property?

a protected personal right?

Different legal consequences follow from each classification.

16. Cross-Border Technology

Technology also weakens territorial boundaries.

A UAE consumer may interact with:

UAE customer → foreign platform → foreign cloud → blockchain network → AI provider in another jurisdiction

A dispute can therefore involve multiple legal systems.

Codification must address:

jurisdiction;

governing law;

recognition of foreign judgments;

arbitration;

electronic contracts;

cross-border evidence;

digital assets;

data transfers.

This makes private international law increasingly important to civil-law codification.

17. Judicial Interpretation as a Safety Valve

Codification cannot predict every future technology.

Therefore, courts become important in filling interpretive gaps.

Judicial reasoning can:

apply existing concepts to new facts;

distinguish old cases;

identify the legal nature of new transactions;

develop consistent interpretations.

However, judicial interpretation cannot completely replace legislation.

There is a fundamental distinction:

Courts interpret existing law; legislatures establish broad new policy choices.

This is especially important where technology creates entirely new risks.

18. Case Law

Because the UAE is a civil-law jurisdiction, these cases should be regarded as important judicial authorities and interpretive examples, rather than as a strict common-law system of binding precedent.

Case 1 — Dubai Court of Cassation, Civil Cassation No. 468 of 2024

The court gave evidentiary significance to WhatsApp communications concerning a loan transaction where authenticity and attribution could be established.

Importance for codification

The case demonstrates how existing legal concepts can accommodate modern communication technologies without requiring every new communication platform to receive a separate statutory regime.

Principle:

Existing evidentiary rules can be technologically adapted where authenticity and attribution are established.

19. Case 2 — Dubai Court of Cassation, Case No. 277 of 2009

The court considered electronic communications and electronic dealings in determining contractual relationships.

Codification significance

The case illustrates the transition from:

Paper-based contracting

to

Electronic contracting.

It shows why legislation should regulate the legal function of a communication rather than depend excessively on a particular technological format.

20. Case 3 — Dubai Court of Cassation, Case No. 35 of 2008

The court addressed the legal evidentiary significance of electronic records where authenticity requirements were satisfied.

Significance

The case demonstrates an important codification principle:

The law should recognize functionally equivalent electronic records rather than assume that legal documents must always be physical.

21. Case 4 — Dubai Court of Cassation, Case No. 241 of 2007

This authority concerned the legal treatment of electronic signatures.

Significance

Electronic signatures demonstrate how a traditional civil-law concept—consent and authentication—can be implemented technologically.

The broader lesson is:

Traditional legal function + technological mechanism = technology-neutral codification.

22. Case 5 — Dubai Court of Cassation, Civil Cassation No. 486 of 2024

This case involved a cryptocurrency/USDT-related dispute and settlement communications.

The court considered the evidentiary and legal significance of “without prejudice” communications in the dispute.

Importance

The case demonstrates that technological subject matter does not necessarily require completely new procedural principles.

Traditional concepts such as:

settlement;

admissions;

confidentiality;

evidence;

can continue to operate within technologically novel disputes.

23. Case 6 — Dubai Court of Cassation, Civil Cassation No. 647 of 2021

The court emphasized the need for judicial decisions to properly address material evidence and substantial defences capable of affecting the outcome.

Technological significance

Technology-heavy litigation can generate enormous quantities of evidence.

Codification must therefore ensure that:

More data ≠ automatically better evidence.

Courts must identify the evidence that is legally material to the dispute.

24. Case 7 — Dubai Court of Cassation, Commercial Cassation No. 767 of 2021

The court addressed the role of expert evidence in technical disputes.

Experts can assist with specialized technical questions, but the legal conclusion remains for the court.

Technological significance

This is highly relevant to:

AI;

blockchain;

cybersecurity;

algorithms;

software;

digital forensics.

An expert can explain:

“How did the algorithm operate?”

But the court decides:

“Does that operation create legal liability?”

25. Case 8 — Commercial Cassation Nos. 1012 and 1023 of 2022

These authorities reinforce the distinction between technical expertise and legal decision-making.

Importance

Technology can make litigation technically complex, but the legal system must maintain the distinction between:

Technical fact-finding

and

Legal adjudication.

This is an important safeguard against allowing technological experts—or automated systems themselves—to determine legal rights.

26. Case 9 — Gate Mena DMCC / Huobi Mena FZE v Tabarak Investment Capital Ltd

This DIFC litigation concerned a dispute involving Bitcoin/crypto-assets and required consideration of technical evidence concerning cryptocurrency.

Codification significance

It demonstrates the difficulty of fitting digital assets into traditional legal classifications.

Questions concerning whether cryptocurrency constitutes:

money;

property;

contractual rights;

another legally recognized asset;

can have consequences for remedies, enforcement, and jurisdiction.

Important: DIFC cases apply within the DIFC legal framework and should not automatically be treated as onshore UAE Court of Cassation precedent.

27. Case 10 — Arabyads Holding Limited v Gulrez Alam Marghoob Alam, ADGMCFI 0032 (2025)

The ADGM Court dealt with litigation in which lawyers relied upon nonexistent authorities generated through AI-related processes.

The court imposed consequences relating to wasted costs and emphasized the responsibility of legal professionals to verify authorities.

Codification significance

This is an important example of a new technological problem affecting an old legal principle:

Professional responsibility does not disappear because technology is used.

AI may accelerate legal research, but lawyers remain responsible for the accuracy of material presented to courts.

Again, this is an ADGM authority, not an onshore UAE Court of Cassation precedent.

28. Lessons from the Case Law

The cases reveal several recurring principles.

This demonstrates that good codification does not need to create a new legal category for every technology.

29. The Problem of Over-Codification

A major danger is trying to regulate every technological development separately.

For example:

AI Act → AI amendment → Generative AI amendment → AI-agent amendment → Autonomous-AI amendment

This can create:

fragmented legislation;

overlapping provisions;

contradictions;

frequent amendments;

uncertainty.

A better approach is often to establish general principles, supported by sector-specific regulations where necessary.

30. The Problem of Under-Codification

The opposite danger is relying entirely on general provisions.

If the law simply says:

“A person responsible for damage must compensate the victim.”

that may not answer:

who is responsible for AI;

who owns digital assets;

how blockchain evidence is authenticated;

how algorithmic causation is proven;

who bears cybersecurity risk.

Therefore, general principles sometimes need technological clarification.

31. A Layered UAE Codification Model

A useful model is:

Layer 1 — Civil Code

General principles:

contract;

tort;

property;

damages;

causation;

good faith;

unjust enrichment.

Layer 2 — Technology-Neutral Digital Legislation

Rules concerning:

electronic transactions;

digital signatures;

electronic evidence;

digital identity.

Layer 3 — Sector Regulation

Specific rules for:

financial technology;

virtual assets;

healthcare;

autonomous vehicles;

telecommunications;

AI.

Layer 4 — Technical Standards

Detailed technical requirements that can be updated more easily than primary legislation.

This layered approach reduces the risk of making the Civil Code obsolete every time technology changes.

32. Regulatory Sandboxes and Codification

Technology frequently develops before its legal classification becomes completely settled.

Regulatory sandboxes can help authorities observe:

business models;

consumer risks;

technical failures;

liability problems;

compliance costs.

The resulting experience can then inform future legislation.

Thus:

Experiment → Observe → Evaluate → Codify

can be more effective than:

Predict everything → Codify once.

33. Principle of Technological Neutrality

A modern UAE civil-law framework should preferably ask:

What legal function is being performed?

rather than:

What particular technology is being used?

For example:

A traditional signature and a secure electronic signature may perform the same legal function:

Authentication + intention + attribution

Similarly:

A paper record and a reliable electronic record may perform:

Recording + preservation + proof

This functional approach makes codification more durable.

34. Principle of Human Accountability

Technological acceleration should not eliminate accountability.

A useful principle is:

Automation ≠ Immunity

If a company uses an AI system, it should not automatically escape responsibility merely because the immediate decision was generated electronically.

The legal system should identify:

who designed;

who supplied;

who deployed;

who controlled;

who supervised;

who benefited;

who could reasonably have prevented the harm.

35. Principle of Explainability

For high-risk technological decisions, legal frameworks may increasingly require some level of explainability.

The exact obligation should depend on:

risk;

sector;

type of decision;

harm;

contractual relationship;

statutory requirements.

This helps courts determine whether an automated system was used reasonably.

36. Principle of Auditability

Modern civil liability increasingly requires the ability to reconstruct what happened.

Businesses should therefore preserve:

logs;

system versions;

relevant prompts;

transaction records;

audit trails;

access records;

human approvals;

security records.

Without these records, proving causation and responsibility becomes substantially more difficult.

37. Codification and Legal Certainty

The principal objective of codification remains legal certainty.

Technological acceleration creates a paradox:

More technology creates more possible transactions, but excessive legal specificity can create less legal certainty because the law becomes outdated quickly.

The answer is principle-based certainty.

The law should clearly establish:

rights;

duties;

liability;

remedies;

evidentiary standards;

while allowing technical implementation to evolve.

38. UAE-Specific Challenges

The UAE faces additional complexity because its legal environment includes:

federal onshore courts;

local judicial structures;

DIFC;

ADGM;

free-zone regimes;

federal legislation;

emirate-level regulation;

sector regulators.

Technology can therefore raise a preliminary question:

Which legal regime applies?

For example, a digital-asset dispute may involve different rules depending upon:

parties;

location;

transaction;

agreed jurisdiction;

regulated activity;

applicable law.

This makes coordination between different legal regimes an important codification objective.

39. Recommended Approach to Future UAE Codification

A durable technology-oriented civil-law framework should emphasize:

1. Principle-based legislation

Focus on rights and duties rather than specific technologies.

2. Technology-neutral terminology

Avoid unnecessarily tying legal validity to one technological platform.

3. Flexible evidentiary rules

Allow courts to recognize new forms of reliable digital evidence.

4. Clear liability allocation

Identify responsibility among developer, provider, operator, deployer, and user.

5. Human oversight

Maintain accountability for high-risk automated decisions.

6. Regular statutory review

Technology-related provisions should be periodically reviewed.

7. Harmonization

Coordinate civil, commercial, evidence, cybersecurity, data, and digital-asset laws.

8. Expert-assisted adjudication

Use technical experts without transferring the legal decision-making function to them.

40. Exam-Ready Formula

Remember:

T-C-L-A-R

T — Technology changes rapidly
↓
C — Traditional categories become uncertain
↓
L — Legal gaps and classification problems arise
↓
A — Adaptation through legislation + judicial interpretation
↓
R — Resilient, technology-neutral codification

41. Conclusion

The principal challenge for UAE civil-law codification under technological acceleration is not simply creating more laws. It is creating laws that remain useful when technology changes.

The UAE's modern Civil Transactions Law provides the general civil-law foundation, while electronic-evidence, digital-transaction, data, financial-technology, and other specialized regimes address particular technological problems.

The most sustainable approach is therefore a layered and technology-neutral model:

General Civil Principles → Digital Legal Framework → Sector Regulation → Technical Standards

The UAE judicial authorities concerning electronic communications, electronic signatures, digital evidence, cryptocurrency, expert evidence, and AI-assisted legal work demonstrate that traditional civil-law concepts can adapt to technological change. The key is to preserve fundamental principles—consent, attribution, good faith, causation, responsibility, evidence, compensation, and judicial control—while allowing their application to evolve.

In short:

The future of UAE codification lies not in codifying every technology separately, but in codifying durable legal principles capable of governing technologies that do not yet exist.