Civil Law And UAE Flattening of Human Experience Into Legal Data Points

1. Meaning and Concept

Flattening of human experience into legal data points means reducing a person's real-life experience into a limited set of measurable or documentable facts for the purpose of legal decision-making.

For example:

a person's employment experience → salary figures and attendance records;

emotional suffering → a compensation figure;

a business relationship → contracts, invoices and payment records;

fraud → transaction records and communications;

reputation → quantified financial loss;

consumer experience → complaint statistics;

disability or injury → medical classifications;

credibility → documentary inconsistencies;

contractual intention → words appearing in a written agreement;

digital conduct → metadata, logs and timestamps;

AI-assisted decision-making → scores, classifications and outputs.

The problem is not that data is legally irrelevant. Evidence and data are essential to civil adjudication. The problem arises when the measurable representation is treated as if it completely represents the human reality behind it.

The central question is therefore:

Can civil law convert human experience into legally usable facts without losing the context, dignity, intention, vulnerability and circumstances that give those facts their meaning?

2. UAE Civil-Law Context

The UAE's civil-law system has historically combined codified rules with judicial interpretation, expert evidence and contextual assessment.

A major current-law development must be noted. Federal Decree by Law No. 25 of 2025 promulgated the new Civil Transactions Law, repealed Federal Law No. 5 of 1985, and brought the new law into force on 1 June 2026.

This is important because many older UAE/DIFC decisions concerning UAE Civil Code provisions arose under the former 1985 framework. They remain useful for understanding judicial reasoning and historical principles, but their statutory provisions must not automatically be treated as the text of the current Civil Transactions Law.

The anti-flattening principle can be understood through several established civil-law ideas:

contextual evaluation of evidence;

causation rather than mere correlation;

individualised assessment of damage;

human evaluation of expert evidence;

procedural fairness;

right to challenge evidence;

judicial discretion;

good faith and contractual context;

protection against unreliable or misleading information;

human oversight of technological decision-making.

3. Why Flattening Is Legally Significant

Human experience is multidimensional.

A single legal dispute may contain:

Person + history + intention + relationship + conduct + circumstances + evidence + harm + consequences.

A data system may instead represent it as:

Person ID + date + transaction + amount + risk score + document + outcome.

The second representation is easier to process, but it can omit legally significant context.

Example

Suppose an employee's employment relationship ends.

A data-driven system may record:

Employment terminated on 1 June; salary AED X; notice period Y; outstanding payment Z.

But the legal dispute may additionally involve:

promises made by management;

reliance by the employee;

communications;

workplace circumstances;

reasons for termination;

actual loss;

reputational consequences;

mitigation;

contractual expectations.

Therefore:

Data is evidence about reality; it is not necessarily the whole of reality.

4. Flattening and the Civil-Law Concept of Damage

One of the clearest areas where flattening can occur is damages.

Economic damage can often be expressed numerically:

Loss = AED 500,000.

But civil liability may involve consequences that are difficult to measure:

pain;

humiliation;

loss of dignity;

reputational harm;

loss of opportunity;

psychological consequences;

interference with personal relationships;

disruption of professional life.

The former UAE Civil Transactions Law expressly recognised moral damage, including infringement of liberty, dignity, honour, reputation, social standing or financial condition.

This historical statutory treatment demonstrates an important conceptual point:

Civil law does not necessarily regard the financially measurable portion of harm as the whole harm.

The new Civil Transactions Law must now be applied from 1 June 2026, but the broader principle remains useful for understanding why civil remedies cannot always be reduced to purely financial variables.

5. Flattening and Evidence

Evidence inevitably converts experience into legally usable material.

A witness says:

“This is what happened to me.”

The procedural system asks:

What happened?

When?

Where?

Who was involved?

What document supports it?

What is the source?

Is the witness competent to testify?

Is the evidence admissible?

What weight should it receive?

This process is necessary.

But excessive formalisation creates a danger:

The evidentiary representation can become more important than the underlying experience.

The solution is not to abandon evidence. The solution is to distinguish:

Evidence → interpretation → factual finding → legal conclusion.

6. Case Law

Case 1 — Fidel v Felecia & Faraz [2015] DIFC CA 002

This DIFC Court of Appeal case concerned whether UAE law had to be established through expert evidence in the manner of foreign law.

The Court rejected a rigid requirement that non-DIFC UAE law must always be treated as a fact requiring expert proof. It recognised judicial discretion concerning evidentiary rules and the expertise of judges.

Relevance to flattening

The case illustrates that legal knowledge cannot always be reduced to a mechanical evidentiary formula.

A rule such as:

“Legal proposition = expert report”

may be too simplistic.

The Court instead considered:

judicial expertise;

the nature of the law involved;

procedural circumstances;

appropriate evidentiary treatment.

Principle

Legal decision-making requires contextual judgment rather than automatic classification.

Case 2 — Commercial Bank of Dubai PSC v Totora Restaurant & Lounge LLC [2017] DIFC CFI 047

The DIFC Court considered a witness statement containing legal argument and controversial factual assertions unsupported by documentary evidence and outside the witness's first-hand knowledge.

The Court ordered removal of those portions from the evidence.

Relevance

This case demonstrates the opposite side of the problem.

Human experience cannot simply be converted into:

“whatever a document says.”

But neither can a witness transform personal belief into legally established fact.

The Court therefore distinguished:

personal knowledge → admissible factual evidence

from

legal argument/unsupported assertion → not equivalent to proof.

Principle

Human testimony must retain its source and context.

Case 3 — Union Bank of India (DIFC Branch) v Velocity Industries LLC & Others [2020] DIFC CFI 025

This extensive banking dispute involved numerous parties, evidence, financial transactions and procedural issues. The DIFC Courts' published decisions demonstrate the importance of considering evidence through the procedural framework rather than simply treating documentary records as self-proving conclusions.

Relevance

Financial disputes are particularly vulnerable to flattening because they generate large quantities of:

transaction data;

bank statements;

emails;

accounting records;

corporate documents;

payment instructions.

But a transaction record may demonstrate what happened electronically without necessarily answering:

why it happened;

what the parties intended;

whether authority existed;

whether fraud occurred;

whether reliance was reasonable.

Principle

Transaction data establishes facts; judicial reasoning establishes legal meaning.

Case 4 — Ledger v Leeor [2022] DIFC CA 013

The dispute involved construction contracts, an arbitration agreement, proceedings before Dubai Courts and applications for interim relief.

The DIFC Court of Appeal considered the procedural framework governing the competing proceedings and the contractual dispute-resolution mechanism.

Relevance

A complex construction relationship cannot be understood solely through isolated events such as:

delayed payment;

notice date;

engineer's decision;

claim amount;

court filing date.

The contractual relationship contained a sequence of obligations and dispute-resolution stages.

Principle

Legal significance may arise from the relationship between events, not merely from the individual data points themselves.

This is particularly important for AI systems that evaluate documents one item at a time.

Case 5 — Nessim v Nader [2024] DIFC CFI 013

The DIFC Court considered competing positions concerning the governing law of a reinsurance contract and procedural applications concerning the pleadings and trial.

The Court permitted the claimant to replead its case concerning UAE federal law while refusing the requested stay.

Relevance

The case demonstrates that legal characterisation is not necessarily fixed by the first formulation of a dispute.

A legal claim can evolve as the court determines:

what issues are actually pleaded;

what law governs;

what questions require determination;

what procedural course is appropriate.

Principle

Legal reality cannot always be reduced to the first available classification.

7. Case 6 — Oheo Bank v Parker [2025] DIFC CA 006

This is especially important for the topic.

The dispute involved allegations concerning bank communications, misrepresentation, negligence, regulatory duties and the bank's obligations to communicate clearly, fairly and without misleading information.

The Court of Appeal examined whether the arbitral award properly addressed the parties' opportunity to present their case and the legal basis of the award. Several parts of the award were ultimately set aside.

Relevance to flattening

The dispute demonstrates that a communication cannot always be understood merely by extracting isolated words.

Its legal meaning can depend upon:

what was communicated;

what was omitted;

the surrounding transaction;

the recipient's circumstances;

the relationship between the parties;

the regulatory context;

the consequences of the communication.

Thus:

Message ≠ meaning.

A database may record:

“Information sent.”

Civil adjudication may need to ask:

“What did the communication mean in its actual commercial and relational context?”

Principle

Context can transform the legal meaning of otherwise identical data.

8. Case 7 — Ganesan Muthiah v Abdul Rahman Mohammad [2026] DIFC CA 007

This recent DIFC Court of Appeal decision concerned the interaction between the DIFC Courts and Dubai judicial entities and the effect of a jurisdictional determination.

The Court considered, among other issues, whether procedural fairness had been accorded before earlier DIFC orders were treated as having lost effect. The appeal was allowed and the relevant orders were set aside.

Relevance

Procedural fairness demonstrates why a legal system cannot be reduced to:

jurisdiction = yes/no.

The procedural history matters.

The parties' opportunity to be heard matters.

The precise wording and legal effect of the jurisdictional determination matters.

Principle

Legal status is contextual and procedural, not merely categorical.

9. Case 8 — VTB Bank PJSC v Kuanyshev & Others [2026] DIFC CFI 121

This recent case involved a worldwide freezing order, asset disclosure and contempt proceedings.

The Court considered whether evidence served by the respondents was admissible, relevant, comprehensible and credible. The published order records concerns regarding documents that were considered inadmissible, irrelevant, repetitive and lacking credibility.

Relevance

This is important for digital-era civil litigation.

Large quantities of information do not automatically produce better evidence.

A system may possess:

thousands of documents;

emails;

spreadsheets;

electronic records;

financial information.

But information volume ≠ evidentiary value.

Principle

Legal systems must distinguish data quantity from evidentiary quality.

10. Flattening Through Artificial Intelligence

AI intensifies the problem.

An automated legal system may convert a dispute into:

Claim type → risk score → relevant precedent → probability → recommended outcome.

This can be useful for administrative efficiency.

But it creates several risks.

A. Loss of context

The system may recognise:

missed payment.

But not understand:

why the payment was missed.

B. Loss of chronology

A series of events may be compressed into independent variables.

C. Loss of human meaning

A communication containing irony, distress, pressure or implied understanding may be difficult to represent numerically.

D. Loss of uncertainty

Human disputes often contain uncertainty.

An algorithm may produce a precise-looking output even where the underlying evidence is ambiguous.

E. Automation bias

A human decision-maker may give excessive weight to an algorithmically generated recommendation.

11. UAE/DIFC Approach to AI and Human Judgment

The UAE's AI policy environment places emphasis on principles such as:

transparency;

explainability;

accountability;

human oversight;

fairness;

privacy;

safety.

This is especially relevant where AI assists decisions affecting legal rights.

The DIFC has also developed technology-oriented procedural mechanisms, but the existence of technological tools does not eliminate judicial responsibility.

The recent DIFC cases involving AI-generated or AI-assisted litigation materials reinforce this distinction.

In Klesta Eshja & Hair Creators Salon LLC v Salah Masri & Others, the DIFC Court dealt with procedural issues surrounding amended defences and litigation conduct; the case illustrates that technological assistance does not remove the parties' procedural responsibilities.

The broader lesson is:

AI may organise information, but the legal system remains responsible for determining its legal significance.

12. Human Experience vs Legal Data

13. Flattening and Causation

One of the most important civil-law safeguards is causation.

Suppose:

A → B → C → D → Loss.

A data system might identify correlation between A and D.

Civil law must still ask:

Did A actually cause D?

Was there an intervening event?

Was the loss foreseeable or legally attributable?

Did the claimant contribute to the loss?

Was the loss too remote?

Was there another independent cause?

Therefore:

Correlation is not causation.

This is particularly important for AI-based predictive systems.

14. Flattening and Expert Evidence

Experts frequently translate complicated realities into:

percentages;

valuations;

probabilities;

medical classifications;

financial calculations;

technical conclusions.

This is useful but creates another risk:

The expert's model may become a substitute for judicial reasoning.

The correct relationship should be:

Raw reality → evidence → expert analysis → judicial evaluation → legal conclusion.

Not:

Raw reality → expert score → automatic judgment.

15. Flattening and Judicial Discretion

Civil law requires rules, but rules often operate through judicial assessment.

The judge may have to consider:

credibility;

intention;

proportionality;

causation;

seriousness of harm;

contractual context;

mitigation;

reasonableness;

surrounding circumstances.

These concepts resist complete numerical representation.

Judicial discretion therefore acts as an important anti-flattening mechanism.

It prevents every dispute from becoming merely:

Input → formula → output.

16. Flattening and Procedural Fairness

A data-driven decision can appear objective while still being procedurally unfair.

For example:

Algorithm produces risk score = 82%.

The affected person should potentially be able to ask:

What information produced the score?

Was the information accurate?

Was outdated information used?

Was the person given an opportunity to respond?

Was the algorithm appropriate?

Was there human review?

Can the decision be challenged?

Can the result be corrected?

The essential principle is:

A legally significant data point should remain contestable.

17. Flattening and the Right to Be Heard

The right to be heard is particularly important.

Human experience often contains information unavailable to the automated system.

For example:

A database says the claimant failed to make payment.

The claimant may explain:

The bank had frozen the account.

That explanation changes the legal significance of the payment record.

Therefore:

Data point + human explanation = fuller factual picture.

Without the second component, the legal system risks converting an incomplete factual record into an apparently objective conclusion.

18. Flattening and Digital Evidence

Digital evidence is increasingly important in UAE civil disputes.

Examples include:

emails;

WhatsApp messages;

blockchain records;

electronic signatures;

bank records;

cloud records;

metadata;

photographs;

CCTV;

GPS information;

AI-generated documents.

But the existence of a digital record does not automatically answer every legal question.

A timestamp may establish:

when a file was created.

It may not establish:

why it was created.

A blockchain record may establish:

that a transaction occurred.

It may not automatically establish:

who legally owned the underlying asset.

A message may establish:

what words were transmitted.

It may not automatically establish:

the legal intention behind those words.

19. Flattening and Human Dignity

Civil law ultimately regulates relationships between human beings and legal persons.

Therefore, excessive datafication may create a conceptual danger:

The person becomes the record.

Instead of:

“What happened to this person?”

the system asks:

“What does the person's file contain?”

That difference is legally significant.

The law should treat records as representations of people and events—not as perfect substitutes for them.

20. Anti-Flattening Principles for UAE Civil Adjudication

A useful framework can be expressed as C-H-A-R-T:

C — Context

Data must be interpreted in its factual and legal context.

H — Human explanation

Affected persons should have an opportunity to explain material facts.

A — Accuracy

Data must be tested for reliability and completeness.

R — Review

Automated or expert conclusions must remain subject to human judicial review.

T — Transparency

The important basis for a significant decision should be capable of being understood and challenged.

21. Six Major Legal Safeguards

22. Relationship With the New UAE Civil Transactions Law

Since 1 June 2026, the new Civil Transactions Law is the governing federal civil-transactions framework following repeal of the 1985 law.

This transition is important for research on human experience because many older cases cite provisions of the former Civil Transactions Law.

The safest examination approach is:

Use older cases for principles and judicial reasoning, but identify the statutory regime under which the case was decided.

Do not automatically transfer an old article number into the current 2026 statutory framework.

23. Onshore UAE Courts and DIFC Courts

A distinction must be maintained.

The cases discussed above are predominantly DIFC authorities. DIFC Courts operate within their own statutory and procedural framework, and their decisions are not automatically binding precedents for onshore UAE courts.

They are nevertheless valuable for this topic because the DIFC decisions provide concrete examples involving:

evidence;

procedural fairness;

digital information;

expert analysis;

financial data;

AI;

technology;

jurisdiction;

human testimony.

Accordingly, they should be described as DIFC authorities illustrating the developing UAE legal environment, rather than as a single UAE-wide binding doctrine.

24. Case-Law Quick Revision Table

25. Exam Formula

Remember:

Human Experience

↓

Facts

↓

Evidence

↓

Data

↓

Interpretation

↓

Legal Characterisation

↓

Judicial Decision

The danger occurs when the process becomes:

Human Experience → Data → Algorithm → Decision

without sufficient:

Context + Explanation + Human Review + Procedural Fairness.

26. Short Exam Answer

Flattening of human experience into legal data points refers to the risk that civil adjudication reduces complex human circumstances into simplified numerical, documentary or algorithmic representations. UAE civil law requires evidence and objective assessment, but cases such as Fidel v Felecia & Faraz, Commercial Bank of Dubai v Totora, Ledger v Leeor, Nessim v Nader, Oheo Bank v Parker, Ganesan Muthiah and VTB Bank v Kuanyshev demonstrate the continuing importance of context, evidentiary reliability, procedural fairness and judicial evaluation. The central principle is that data should assist legal reasoning rather than replace it. A transaction record, expert conclusion, risk score or algorithmic output is evidence or analysis—not necessarily the complete human reality. Therefore, modern UAE civil adjudication should combine data accuracy with context, human explanation, contestability, judicial discretion and procedural fairness.

27. Final Conclusion

The central problem is not datafication itself.

Modern civil law cannot operate without documents, financial records, electronic communications, expert evidence and increasingly sophisticated digital systems.

The real problem is equating the data representation with the human reality.

A person's experience may contain:

history + intention + relationship + vulnerability + circumstances + harm + consequences.

A legal database may contain only:

date + amount + document + classification + score.

The first is human reality; the second is its legal representation.

Therefore, the strongest conceptual rule is:

Data should make human experience legally intelligible, not make human experience legally invisible.

That principle is particularly important as UAE civil adjudication increasingly interacts with AI, digital evidence, automated analysis, financial technology and data-driven dispute resolution.