Civil Law and UAE AI-Mediated Contracting Ecosystems

1. Introduction

AI-mediated contracting ecosystems are contractual environments in which artificial intelligence participates in one or more stages of forming, negotiating, performing, monitoring, modifying, or terminating contracts.

Examples include:

• AI negotiating prices and commercial terms;
• AI-generated contract drafting;
• automated acceptance and counteroffers;
• AI-powered procurement platforms;
• algorithmic pricing and purchasing;
• smart contracts connected to AI systems;
• AI agents purchasing goods or services;
• automated compliance and contract monitoring;
• AI-generated notices of breach;
• automated renewal or termination;
• AI-assisted dispute resolution.

Under UAE law, the central question is not whether an AI system has contractual personality. Generally, AI is treated as a technological instrument operated or controlled by a human or legal person. The contractual consequences therefore ordinarily attach to the relevant principal, company, operator, contracting party, or service provider, depending on the facts.

The UAE framework is particularly interesting because it combines codified civil law on the mainland with common-law-oriented systems in the DIFC and ADGM.

2. Meaning of an AI-Mediated Contract

A traditional contract may be represented as:

Party A → negotiation → agreement → Party B

An AI-mediated contract may instead operate as:

Principal → AI system → algorithmic negotiation → electronic acceptance → automated performance → monitoring

The AI may:

1. identify a contracting opportunity;
2. evaluate counterparties;
3. generate contractual language;
4. negotiate terms;
5. transmit an offer;
6. accept a counteroffer;
7. execute a transaction;
8. monitor performance;
9. trigger payment;
10. send breach notices;
11. initiate renewal or termination.

The legal difficulty arises because technical automation and legal authorization are not necessarily the same thing.

3. UAE Legal Foundation

Several areas of UAE law become relevant.

A. Civil Transactions Law

The UAE's new Federal Decree-Law No. 25 of 2025 on the Civil Transactions Law entered into force on 1 June 2026, replacing the former Federal Law No. 5 of 1985.

The fundamental civil-law concepts remain important for AI-mediated contracts, including:

• consent;
• contractual capacity;
• authority;
• good faith;
• contractual performance;
• causation;
• compensation;
• abuse of rights;
• unjust enrichment;
• interpretation of contracts;
• public order and mandatory rules.

Consequently, the use of AI does not eliminate ordinary contractual principles.

B. Electronic Transactions and Trust Services

The UAE's Federal Decree-Law No. 46 of 2021 on Electronic Transactions and Trust Services is highly relevant.

It supports legal recognition of:

• electronic records;
• electronic signatures;
• electronic communications;
• electronic contracting mechanisms;
• electronic authentication and trust services.

Thus, the fact that an agreement was concluded electronically does not by itself make it legally ineffective.

4. AI Is Usually a Contracting Instrument, Not a Contracting Person

One of the most important principles is:

AI ordinarily acts as a mechanism through which a legal person expresses or implements contractual intention.

For example, suppose Company A programs an AI procurement agent to purchase raw materials up to AED 500,000.

The AI purchases AED 450,000 of materials.

The stronger legal analysis is not:

"The AI entered into a contract."

Instead:

"Company A's technological system communicated and implemented Company A's contractual conduct."

This raises questions concerning:

• authority;
• instructions;
• agency;
• apparent authority;
• authentication;
• mistake;
• system malfunction;
• cybersecurity;
• unauthorized access;
• employee misuse;
• algorithmic error.

5. AI and Contract Formation

AI-mediated contracting still requires analysis of ordinary contractual elements.

Essential questions

1. Was there an offer?
2. Was there acceptance?
3. Were the terms sufficiently certain?
4. Did the AI act within its authorization?
5. Was the communication attributable to the contracting party?
6. Was there fraud or mistake?
7. Were mandatory legal requirements satisfied?
8. Was the contract affected by public order or mandatory law?

AI can automate the process, but it does not necessarily eliminate these legal requirements.

6. AI-Generated Offers

An AI system may generate thousands of offers automatically.

For example:

"We offer 10,000 units at AED 50 per unit."

The legal question becomes whether the communication constitutes:

• a legally binding offer;
• an invitation to negotiate;
• an automated quotation;
• a conditional offer;
• a preliminary communication.

The system's technical ability to generate the communication does not itself determine its legal character.

The surrounding:

• contract;
• platform rules;
• commercial practice;
• authority structure;
• applicable law;

must be examined.

7. AI Acceptance

AI may also automatically accept contractual proposals.

Suppose an AI procurement agent has authority to purchase goods up to AED 1 million but accidentally accepts a transaction worth AED 10 million.

Several questions arise:

• Did the AI have actual authority?
• Did the counterparty reasonably rely upon its apparent authority?
• Was the counterparty aware of the limitation?
• Was there an obvious technical mistake?
• Did the principal subsequently ratify the transaction?
• Can the transaction be avoided or limited?

These are fundamentally agency and attribution questions, rather than questions of AI personhood.

8. AI-Mediated Agency

Agency law is particularly important.

An AI system can effectively operate as a technological intermediary between:

Principal → AI Agent → Third Party

But the term "AI agent" should not automatically be confused with a legal agent.

The legal agent remains the person or entity legally authorized to act.

AI may simply be the mechanism used to exercise that authority.

Example

A company instructs an AI system:

"Purchase aviation fuel whenever the price falls below AED X."

The AI identifies an available supplier and automatically concludes a purchase.

The legal analysis should examine:

• the company's authorization;
• the AI's programming;
• the supplier's knowledge;
• the transaction terms;
• the company's subsequent conduct.

9. Actual Authority and AI

Actual authority may be:

Express

The company expressly authorizes the AI system to conclude contracts.

Implied

The authority arises from the nature of the role assigned to the system.

Limited

The AI may only conclude contracts:

• below a specified value;
• with approved suppliers;
• within particular territories;
• for specific products.

Technical capability should therefore not automatically be equated with legal authority.

10. Apparent Authority

A particularly difficult issue is apparent authority.

Suppose a company publicly presents an AI procurement system as authorized to conclude purchases.

A supplier reasonably relies upon that representation.

The company may face legal consequences even if an internal technical limitation existed.

The dispute would involve:

• what the company represented;
• what the third party reasonably understood;
• whether the third party knew about the limitation;
• whether the transaction was commercially abnormal;
• whether the company subsequently accepted the transaction.

11. AI Contracting and Mistake

AI systems can produce contractual mistakes.

Examples include:

• incorrect price;
• wrong currency;
• wrong quantity;
• incorrect delivery location;
• algorithmic misinterpretation;
• outdated database information;
• erroneous translation;
• faulty API connection;
• model hallucination.

The fact that the mistake was generated by AI does not automatically make the contract void.

The court may examine:

1. the nature of the mistake;
2. its materiality;
3. whether the other party knew or should have known;
4. the contractual allocation of risk;
5. the parties' conduct;
6. good faith;
7. commercial custom.

12. AI Hallucinations and Contract Formation

Generative AI introduces a particularly important problem.

An AI system could generate:

"The supplier agrees to provide a five-year warranty."

But the supplier never intended to offer such a warranty.

The question is whether the AI-generated statement was:

• merely a draft;
• an authorized communication;
• an offer;
• a representation;
• an erroneous communication.

A contractual dispute therefore requires examination of the human-machine authorization chain.

13. AI and Good Faith

Good faith remains important in AI-mediated contracting.

AI should not be used to circumvent:

• contractual obligations;
• mandatory laws;
• consumer protections;
• confidentiality;
• regulatory requirements;
• public policy.

A party cannot necessarily defend abusive conduct simply by arguing:

"The algorithm made the decision."

Legal responsibility generally remains connected to the person who designed, deployed, controlled, or benefited from the system.

14. AI and Abuse of Rights

The UAE civil-law doctrine of abuse of rights is especially significant.

Under the UAE civil-law framework, an exercise of a right may become unlawful where, among other circumstances:

• the purpose is to cause harm;
• the intended benefit is unlawful;
• the benefit is disproportionately small compared with the harm;
• the exercise exceeds accepted custom or legitimate boundaries.

The principle is important where an automated contracting system is deliberately designed to exploit technical or informational asymmetries.

Example

A company designs an AI system specifically to:

• exploit obvious pricing errors;
• overwhelm a competitor's platform;
• generate abusive cancellation requests;
• manipulate automated acceptance systems.

The company may not necessarily escape civil consequences merely because the conduct was automated.

15. AI and Smart Contracts

AI-mediated contracts and smart contracts may operate together.

For example:

AI determines transaction → smart contract executes payment → blockchain records transaction

However:

Code execution does not automatically determine legal validity.

A smart contract may technically execute even where a legal dispute exists concerning:

• fraud;
• mistake;
• lack of authority;
• illegality;
• breach;
• unjust enrichment;
• defective performance.

Therefore:

technical execution ≠ conclusive legal validity.

16. AI and Electronic Evidence

AI-mediated contracting produces substantial digital evidence.

Potential evidence includes:

• prompts;
• model outputs;
• API logs;
• system logs;
• timestamps;
• transaction records;
• electronic signatures;
• authentication records;
• blockchain records;
• email communications;
• database records;
• audit trails;
• version histories.

The court may need to determine:

Authenticity

Is the record genuine?

Integrity

Has it been altered?

Attribution

Who caused the communication?

Reliability

Was the system operating properly?

Context

What instructions were given to the AI?

17. Importance of Audit Trails

AI contracting requires strong auditability.

A reliable system should record:

Instruction → AI processing → proposed term → human approval/automation rule → communication → acceptance → performance

Without adequate logs, disputes over contractual formation become substantially more difficult.

For sophisticated commercial systems, auditability can therefore become a major component of contractual risk management.

18. AI and Contract Interpretation

AI may be used to interpret contracts by:

• identifying clauses;
• comparing versions;
• detecting conflicts;
• summarizing obligations;
• identifying deadlines;
• predicting potential breaches.

But AI-generated interpretation is not itself legally authoritative.

The court ultimately determines:

• contractual meaning;
• applicable law;
• factual context;
• parties' intention;
• effect of mandatory rules.

This is especially important because an AI system may confuse:

• UAE mainland law;
• DIFC law;
• ADGM law;
• English law;
• foreign law.

19. Mainland UAE, DIFC and ADGM

A major UAE issue is jurisdiction.

Mainland UAE

The ordinary UAE federal civil-law framework generally applies, subject to applicable Emirate-level rules.

DIFC

The DIFC operates under a common-law-oriented legal framework.

ADGM

ADGM also has a common-law-oriented legal environment, including the application of English-law concepts under its legislative framework.

Therefore, an AI contract platform should identify:

• governing law;
• jurisdiction;
• seat of arbitration;
• dispute-resolution mechanism.

AI systems must not assume that "UAE law" means exactly the same rules in every UAE jurisdiction.

20. AI and Automated Procurement

Automated procurement is one of the most realistic AI-mediated contracting ecosystems.

A system may:

1. monitor inventory;
2. identify shortages;
3. search suppliers;
4. compare prices;
5. negotiate;
6. select supplier;
7. issue purchase order;
8. accept delivery;
9. approve invoice;
10. initiate payment.

This creates a continuous contractual ecosystem rather than a single transaction.

Legal risk therefore exists at multiple points.

21. AI and Consumer Contracts

Consumer contracting creates additional concerns.

AI systems may:

• personalize prices;
• personalize offers;
• generate terms;
• recommend products;
• automatically renew subscriptions;
• determine eligibility;
• reject transactions.

Businesses must still comply with applicable consumer-protection and mandatory legal requirements.

An AI system should not be used as a mechanism for circumventing mandatory consumer rights.

22. AI Pricing and Dynamic Contracts

AI can modify prices continuously.

For example:

"Price automatically adjusts according to demand, inventory and market conditions."

The legal questions include:

• Was the pricing mechanism disclosed?
• Is the formula sufficiently transparent?
• Can the customer understand the contractual price?
• Was the change authorized?
• Is there a contractual ceiling?
• Does mandatory law restrict the adjustment?

The more significant the economic consequence, the greater the importance of transparency and auditability.

23. AI and Automated Renewal

AI may automatically renew:

• SaaS agreements;
• insurance-related arrangements;
• supply agreements;
• maintenance contracts;
• subscriptions.

A dispute may arise if:

• the renewal notice was not properly transmitted;
• the AI misunderstood a cancellation instruction;
• the system used an outdated email address;
• the customer attempted to terminate;
• the system renewed despite a contractual prohibition.

The legal analysis depends upon the contract and applicable mandatory rules.

24. AI and Contract Performance

AI can also monitor contractual performance.

For example:

AI monitors delivery → detects delay → calculates contractual penalty → issues notice

Questions may arise regarding:

• accuracy;
• causation;
• contractual notice;
• force majeure;
• calculation of damages;
• human review;
• errors in automated detection.

An automated breach notification should not automatically be treated as conclusive proof of breach.

25. AI and Liquidated Damages / Penalties

AI can automatically calculate:

• late-payment charges;
• service credits;
• delay compensation;
• contractual penalties.

But the mathematical calculation does not itself establish that the underlying liability exists.

The system must correctly determine:

1. whether breach occurred;
2. whether the clause applies;
3. whether an exception applies;
4. whether notice was required;
5. whether the amount is legally recoverable.

26. AI Cybersecurity and Unauthorized Contracting

A major problem is unauthorized AI access.

Suppose a hacker compromises a company's AI procurement agent and purchases AED 20 million of goods.

The dispute could involve:

• cybersecurity obligations;
• authentication;
• agency;
• apparent authority;
• negligence;
• contractual allocation of risk;
• third-party reliance;
• restitution.

This demonstrates why AI contracting must be connected to cybersecurity governance.

27. AI Contracting and Data Protection

AI contracting may process:

• names;
• contact information;
• financial information;
• transaction history;
• behavioral information;
• employee information;
• customer profiles.

Consequently, UAE data-protection requirements may become relevant.

The contractual ecosystem should address:

• lawful processing;
• data minimization;
• security;
• retention;
• access;
• cross-border transfers;
• processor relationships;
• confidentiality.

28. AI Vendor Liability

Suppose Company A uses an AI contracting platform supplied by Company B.

The AI incorrectly concludes a contract causing AED 5 million in losses.

Potential claims could involve:

Company A → AI vendor

The relevant questions include:

• What did the vendor promise?
• Was there an accuracy warranty?
• Was the AI system supplied "as is"?
• Was there a limitation-of-liability clause?
• Was the error foreseeable?
• Did the customer configure the system improperly?
• Was human supervision required?
• Did the vendor provide adequate warnings?

Contractual allocation of risk becomes extremely important.

29. AI Developer vs AI Deployer

Responsibility should generally be allocated according to legal duty, control, foreseeability and causation.

There should not automatically be a rule that every AI-related loss is the developer's responsibility.

30. AI and Unjust Enrichment

AI systems can sometimes create unintended transfers.

Example:

An AI payment system mistakenly pays AED 1 million instead of AED 100,000.

If the recipient retains the additional AED 900,000 without legal justification, restitutionary/unjust-enrichment principles may become relevant.

Thus, technical finality does not necessarily mean legal finality.

31. AI and Cross-Border Contracts

AI platforms can negotiate with counterparties across:

• UAE;
• Saudi Arabia;
• UK;
• EU;
• United States;
• Singapore;
• India.

A single AI system may therefore generate transactions governed by different legal regimes.

Contract architecture should identify:

• governing law;
• jurisdiction;
• arbitration;
• place of performance;
• electronic-signature rules;
• data-transfer requirements;
• mandatory local laws.

32. Important Case Laws

Direct UAE reported decisions specifically dealing with AI-mediated contracting remain limited. Therefore, the following cases should be understood as foundational or analogous authorities, rather than cases deciding AI contracting itself.

1. NMC Healthcare Ltd (in Administration) v Dubai Islamic Bank PJSC & Others, [2023] ADGMCFI 0017

Court: ADGM Court of First Instance

Importance

This is an important authority for understanding UAE-law principles within the ADGM environment, including contractual obligations, interpretation, good faith and the interaction between UAE law and the ADGM judicial system.

Relevance to AI contracting

An AI contracting platform cannot replace the legal analysis of:

• contractual rights;
• applicable law;
• good faith;
• authority;
• contractual interpretation.

The case is therefore useful for understanding the legal framework within which automated contracting systems operate.

2. DNB Bank ASA v Gulf Eyadah Corporation & Another, [2015] DIFC CA 007

Court: DIFC Court of Appeal

Importance

The case is particularly significant concerning recognition and enforcement of foreign judgments and the operation of the DIFC's common-law-oriented legal framework.

Relevance

AI contracting systems frequently operate across jurisdictions.

Therefore, contractual automation should not focus only on contract formation. It must also anticipate:

• jurisdiction;
• enforcement;
• recognition;
• applicable law.

The case is DIFC authority, not mainland UAE Federal Court authority.

3. IDBI Bank Ltd v Amira C Foods International DMCC & Karan A. Chanana, [2020] DIFC CFI 022

Court: DIFC Court of First Instance

Importance

The case illustrates the importance of jurisdictional analysis, contractual arrangements and the relationship between parties in cross-border commercial disputes.

Relevance to AI contracting

An AI platform can easily create transactions involving parties in different jurisdictions.

The case demonstrates why an automated contract should clearly identify:

• applicable jurisdiction;
• contractual obligations;
• dispute-resolution provisions.

4. Amira C Foods International DMCC & Karan A. Chanana v IDBI Bank Ltd, [2021] DIFC CA 004

Court: DIFC Court of Appeal

Importance

The appellate proceedings provide further guidance on jurisdictional and cross-border commercial questions.

AI relevance

AI-mediated contracts frequently involve:

• multinational counterparties;
• automated communications;
• cross-border transactions;
• electronic records.

Therefore, automated contract architecture should not separate transaction formation from dispute-resolution architecture.

5. Access Group DWC LLC v BLS International FZE, [2023] DIFC CFI 091

Court: DIFC Court of First Instance

Importance

The case provides useful commercial-law and procedural context within the DIFC.

AI relevance

It illustrates the importance of identifying the contractual and jurisdictional framework before determining the consequences of a commercial dispute.

For AI systems, this means the contracting architecture should preserve:

• contractual versions;
• communications;
• authority records;
• governing-law clauses;
• dispute-resolution provisions.

6. Abu Dhabi Court of Cassation, Case No. 55 of 2016, 16 January 2017

Importance

This UAE Court of Cassation authority is particularly relevant to the abuse-of-rights doctrine.

The court's approach illustrates that Article 106-type analysis depends upon the statutory circumstances constituting an abusive exercise of a right.

AI relevance

A company cannot necessarily avoid the abuse-of-rights doctrine merely because the relevant conduct was implemented through an algorithm.

For example, deliberate deployment of an AI system to cause commercially unjustified harm may still be assessed through ordinary civil-law principles.

7. UAE Federal Supreme Court, Case No. 524 of 2000, 18 April 2000

Importance

This case is among the UAE authorities relied upon in subsequent UAE-law analysis concerning the exercise of legal rights and civil-law principles.

AI relevance

It supports the broader proposition that civil rights and contractual powers operate within legal boundaries.

Automation does not create an unlimited contractual privilege.

8. Dubai Court of Cassation, Case No. 389 of 2001, 3 February 2002

Importance

This authority is another example of UAE civil-law jurisprudence concerning the proper exercise of legal rights.

AI relevance

An automated contracting system remains subject to the substantive limits imposed by civil law.

A technical system cannot transform an otherwise unlawful exercise of a right into lawful conduct merely through automation.

33. Case-Law Summary

Important: The DIFC and ADGM cases above should not be described as binding precedents for every mainland UAE court. Their value may be direct within their respective jurisdictions or comparative/persuasive in other contexts.

34. Recommended UAE AI-Contracting Architecture

A sophisticated AI-mediated contracting platform should include at least the following safeguards:

1. Authority layer

Define precisely what the AI can contract for.

2. Financial limits

Set maximum transaction values.

3. Counterparty limits

Restrict transactions to approved counterparties.

4. Human approval

Require human authorization for high-risk transactions.

5. Version control

Preserve every version of contractual terms.

6. Audit logs

Record every AI instruction and output.

7. Authentication

Use strong identity and authorization controls.

8. Error detection

Create mechanisms for obvious pricing or quantity errors.

9. Governing law

Identify applicable law expressly.

10. Dispute resolution

Specify courts or arbitration.

11. Cybersecurity

Protect AI credentials and API connections.

12. Data governance

Control personal and confidential information.

13. Vendor allocation

Clearly allocate liability between AI developer, vendor and customer.

14. Emergency suspension

Permit immediate suspension of the AI contracting authority.

35. Core Legal Principle

The most useful conceptual model is:

AI capability ≠ legal authority

and:

Automated execution ≠ automatic legal validity

The legal chain is better understood as:

Human/Company Authority → AI System → Electronic Communication → Contract → Performance → Legal Consequences

The AI is generally part of the mechanism of contracting, while legal responsibility continues to attach to the persons and entities recognized by law.

36. Key Features of UAE AI-Mediated Contracting

1. AI can facilitate contractual formation.
2. AI does not ordinarily become a separate legal contracting person merely because it negotiates.
3. Electronic contracts can receive legal recognition.
4. Agency and authority are central concepts.
5. AI-generated mistakes require ordinary civil-law analysis.
6. Good faith remains applicable.
7. Abuse of rights remains relevant to automated conduct.
8. Smart-contract execution does not automatically settle legal validity.
9. Digital evidence and audit trails are essential.
10. Cybersecurity failures can generate contractual and civil liability.
11. AI vendors and deployers may have different responsibilities.
12. Mainland UAE, DIFC and ADGM must be distinguished.
13. Cross-border AI contracting requires careful jurisdiction and governing-law clauses.
14. Human oversight is especially important for high-value or legally significant contracts.
15. Direct UAE case law specifically concerning AI-mediated contracting is still developing.

Conclusion

UAE civil law is capable of accommodating AI-mediated contracting without treating AI as an independent legal person. Existing doctrines concerning contract formation, electronic transactions, agency, authority, good faith, abuse of rights, causation, compensation, evidence and restitution can generally be applied to automated contracting environments.

The major legal challenge is attribution: determining when an AI-generated communication should legally be treated as the act of the company or individual operating the system. This makes authorization, auditability, cybersecurity, human oversight and contractual risk allocation central to the future UAE AI-contracting ecosystem.

The emerging principle can therefore be stated simply:

AI may automate contractual decision-making, but automation does not remove the underlying legal responsibility of the persons and entities behind the system.