1. Introduction

A Digital Infrastructure Twin (DIT) is a continuously updated digital representation of a physical infrastructure asset or system—such as an electricity grid, railway network, bridge, highway, airport, water system, pipeline, port, or smart city. Unlike a conventional engineering model, a digital twin can integrate real-time sensor data, operational information, simulations, artificial intelligence, predictive analytics, and sometimes automated control.

The legal question is whether the law should recognize such a digital twin merely as software/data, or whether it should give the twin a distinct legal status because it increasingly performs functions traditionally associated with physical infrastructure.

Current law generally does not treat a digital twin as a separate legal person or independent property. Recent legal scholarship likewise observes that there is no comprehensive, twin-specific regulatory regime; instead, existing rules on data, intellectual property, cybersecurity, contracts, AI, evidence, infrastructure safety and liability are applied according to the twin's function. MDPI

For infrastructure, this distinction is particularly important because a twin may move from being a passive representation to becoming an operational component of the physical system.

2. Meaning of Legal Recognition

Legal recognition does not necessarily mean granting a digital twin legal personality.

It can occur at several levels:

1. Recognition as evidence – the twin's data can establish the condition or operation of an asset.
2. Recognition as a digital asset – the model, software, databases and associated intellectual property receive legal protection.
3. Recognition as a contractual deliverable – construction or infrastructure contracts may require delivery and maintenance of the twin.
4. Recognition as a regulatory record – authorities may accept the twin as an authoritative representation of infrastructure.
5. Recognition as a safety-critical system – where the twin affects infrastructure operations, special safety and cybersecurity duties may apply.
6. Recognition as part of critical infrastructure – in appropriate circumstances, the twin itself may become sufficiently important to the operation of essential infrastructure that critical-infrastructure rules become relevant.

A 2026 study concerning energy-sector digital twins notes that existing law generally regulates them indirectly rather than through legislation expressly dedicated to digital twins. Depending on their function, however, digital twins may fall within critical-infrastructure and cybersecurity regimes. MDPI

3. Why Digital Infrastructure Twins Require Legal Recognition

A. They contain legally significant data

A digital twin can contain:

• engineering drawings;
• GIS information;
• sensor data;
• maintenance records;
• operational information;
• security information;
• information about employees and contractors;
• energy-consumption data;
• predictive models;
• AI-generated outputs.

Consequently, different components can be governed by different legal regimes.

The same digital twin may therefore contain:

property + software + data + intellectual property + confidential information + operational records.

Treating all of these components as a single legal object can create uncertainty.

4. The Digital Twin Is Not Necessarily the Physical Infrastructure

A fundamental legal distinction must be maintained between:

Physical infrastructure → Digital model → Data → Software → Platform → AI system

For example, an electricity-grid twin may represent substations, transmission lines, transformers and consumers.

The digital twin itself does not automatically become the owner of those physical assets.

A recent comparative legal study on real-estate digital twins makes a similar distinction: the physical property, digital model, data, software, platform services and official registry information may have different legal classifications rather than forming one unified property right. Al-Qadisiya Journal

This approach is highly relevant to infrastructure law.

5. Legal Status as Property

One possible approach is to recognize certain components of a digital twin as digital property.

However, property law must distinguish between:

• the physical infrastructure;
• the digital model;
• databases;
• software;
• sensor-generated data;
• intellectual-property rights;
• contractual rights.

For example, an engineering company might own the software used to construct a bridge twin, while the infrastructure owner owns the physical bridge and has contractual rights to use the digital twin.

Therefore, legal recognition should preferably be functional and component-based, rather than automatically declaring the entire twin to be a new category of property.

6. Intellectual Property Rights

Digital infrastructure twins frequently involve substantial intellectual property.

Potentially protected elements include:

Copyright

Software, databases, 3D models and certain digital documentation may receive copyright protection where statutory requirements are satisfied.

Database rights

The organization that creates and maintains a structured infrastructure database may have rights over the database, depending on applicable law.

Trade secrets

A twin can contain commercially or strategically sensitive information, including:

• network vulnerabilities;
• security architecture;
• maintenance strategies;
• proprietary engineering models;
• operational algorithms.

Patents

Novel technical methods associated with sensors, modelling, control systems or industrial processes may potentially raise patent questions.

The legal problem is therefore not simply "Who owns the digital twin?"

The more precise questions are:

• Who owns the software?
• Who owns the underlying data?
• Who has a licence to use the model?
• Who can modify it?
• Who may access it?
• Who owns AI-generated outputs?
• Who can transfer it when the infrastructure is sold?

7. Data Governance

Data governance is one of the most important aspects of legal recognition.

A digital infrastructure twin can aggregate information from numerous sources.

For example:

Sensors → Utility → Cloud platform → Digital twin → AI model → Operator

Each stage can create different legal responsibilities.

Under the EU framework, digital twins can intersect with the GDPR, Data Governance Act, Data Act, AI Act, NIS2 and Cyber Resilience Act. A recent legal analysis describes these instruments as regulating different layers of digital-twin governance, including privacy, data access, interoperability, cybersecurity, transparency and accountability. MDPI

This demonstrates an important principle:

Digital-twin regulation is likely to be distributed across existing legal regimes rather than contained in one Digital Twin Act.

8. Cybersecurity and Critical Infrastructure

The cybersecurity dimension becomes particularly important when a digital twin is connected to operational infrastructure.

Consider an electricity-grid twin that receives real-time information from substations and generates recommendations for grid operators.

If the twin is compromised, an attacker could potentially:

• manipulate operational information;
• hide equipment failures;
• generate false predictions;
• disrupt maintenance;
• interfere with control decisions;
• expose sensitive infrastructure information.

Consequently, the legal status of the twin may depend upon its functional relationship with critical infrastructure.

Research on energy-sector twins specifically observes that a digital twin used within an energy company can potentially form part of critical infrastructure depending on its operational role. MDPI

9. Digital Twins and Artificial Intelligence

Many modern digital twins incorporate machine learning.

This creates another legal layer.

A twin may:

1. collect infrastructure data;
2. process it through an AI model;
3. predict future conditions;
4. recommend an operational response;
5. automatically implement that response.

The legal significance increases as the twin moves from observation to decision-making.

For example:

Level 1: Digital visualisation
Level 2: Monitoring
Level 3: Prediction
Level 4: Recommendation
Level 5: Automated intervention

The liability and regulatory implications are likely to become progressively greater as the system moves toward autonomous intervention.

A recent EU-focused study identifies AI regulation, cybersecurity, data governance, interoperability and accountability as interconnected legal requirements for digital twins. MDPI

10. Liability for Digital Infrastructure Twins

One of the most difficult legal questions is:

Who is responsible when a digital twin produces an incorrect prediction or recommendation?

Possible parties include:

• infrastructure owner;
• software developer;
• digital-twin operator;
• sensor manufacturer;
• cloud provider;
• AI developer;
• engineering consultant;
• maintenance contractor.

Suppose an electricity-grid twin predicts that a transformer is operating safely when it is actually deteriorating. The transformer fails and causes a major outage.

Potential legal questions include:

• Was the sensor defective?
• Was the software defective?
• Was the AI model improperly trained?
• Was the data inaccurate?
• Did the operator ignore a warning?
• Was the system adequately maintained?
• Was there an inadequate cybersecurity system?

The law therefore needs a causal chain of responsibility.

11. Digital Twin as Evidence

A particularly important form of legal recognition is recognition as evidence.

A digital twin may maintain an auditable record of:

• equipment condition;
• inspections;
• maintenance;
• system events;
• environmental conditions;
• operational decisions.

Courts and regulators could potentially use such records to establish what happened to physical infrastructure.

But evidentiary reliability requires safeguards:

• authentication;
• data integrity;
• timestamping;
• audit trails;
• secure access;
• chain of custody;
• verification of sensor accuracy;
• identification of subsequent alterations.

Thus, the law should distinguish between:

"A digital twin contains information"

and

"The information contained in the digital twin is legally authoritative."

The second proposition requires considerably stronger legal recognition.

12. Digital Twins in Infrastructure Contracts

Construction and infrastructure contracts may increasingly require the creation of a digital twin.

A contract might provide that:

the contractor must create, update and transfer an operational digital twin throughout the lifecycle of the infrastructure.

This raises questions about:

• ownership;
• licensing;
• interoperability;
• update obligations;
• cybersecurity;
• data retention;
• access after termination;
• responsibility for errors;
• transfer to a new operator.

The digital twin can therefore become a contractual asset and continuing contractual obligation.

This is especially relevant to public infrastructure projects using BIM and lifecycle-management systems.

13. Regulatory Recognition

A particularly significant development would be for regulators to formally recognize the digital twin as an authoritative infrastructure-management instrument.

For example, an electricity regulator could permit an operator to use a certified grid twin for:

• asset-management decisions;
• outage planning;
• reliability analysis;
• capacity assessment;
• predictive maintenance;
• regulatory reporting.

But regulatory recognition should require:

Accuracy

The model must correspond sufficiently to the physical system.

Continuous updating

Material changes to the infrastructure must be reflected.

Auditability

Regulators must be able to determine how conclusions were generated.

Cybersecurity

Unauthorized manipulation must be prevented.

Human oversight

Critical operational decisions should not necessarily be delegated entirely to automated systems.

14. Case Laws and Judicial Principles

There is an important qualification: reported judicial decisions specifically deciding the legal status of a "digital infrastructure twin" remain very limited. Current legal scholarship also notes the absence of a dedicated digital-twin legal regime. Springer

Accordingly, the following authorities are best understood as analogical case law establishing principles that can be applied to digital infrastructure twins.

14.1 Google Spain SL v AEPD, C-131/12 (CJEU)

The Court of Justice recognized important principles concerning control over information relating to individuals and the protection of personal data.

Relevance to digital twins

Where a digital infrastructure twin incorporates information identifying workers, customers, residents or other individuals, data-protection law may become relevant.

The case illustrates that digital information cannot automatically be treated as legally neutral merely because it exists within a technological system.

14.2 Wirtschaftsakademie Schleswig-Holstein, C-210/16 (CJEU)

The CJEU considered responsibility for processing personal data in a digital platform environment and emphasized that legal responsibility can extend to parties exercising influence over data processing.

Relevance

A digital infrastructure twin can involve several actors:

asset owner + platform provider + data processor + AI provider.

The case supports the broader principle that legal responsibility should be examined according to actual control and participation, rather than simply technical ownership of the platform.

14.3 Breyer v Bundesrepublik Deutschland, C-582/14 (CJEU)

The CJEU considered when dynamic IP addresses constitute personal data.

Relevance

Digital twins may collect enormous quantities of technical information that initially appears non-personal. Once information can be connected with identifiable individuals, however, data-protection obligations may arise.

This is particularly relevant to smart buildings, transport systems and smart-city infrastructure.

14.4 SAS Institute Inc. v World Programming Ltd, C-406/10 (CJEU)

The Court examined the legal protection of computer programs and distinguished protected software expression from aspects such as ideas and functionality.

Relevance

A digital twin consists partly of software.

Therefore, legal recognition must distinguish:

• software code;
• functionality;
• algorithms;
• data;
• models;
• interfaces.

Not every aspect of a digital twin will necessarily receive the same intellectual-property protection.

14.5 UsedSoft GmbH v Oracle International Corp., C-128/11 (CJEU)

The CJEU addressed the legal consequences of transferring software licences and the principle of exhaustion in relation to software distributed under certain conditions.

Relevance

Infrastructure owners may need to transfer digital twins when an infrastructure asset is sold, concession rights change, or an operator changes.

The case demonstrates why software ownership and software-use rights must be contractually separated from ownership of the physical infrastructure.

15. Indian Legal Perspective

For India, legal recognition of digital infrastructure twins would likely emerge through the interaction of existing legislation rather than through a single digital-twin statute.

Important legal areas include:

Information Technology Act, 2000

The IT Act provides the foundational legal framework for electronic records, electronic authentication and certain forms of cyber-related conduct.

Digital Personal Data Protection Act, 2023

Where infrastructure twins process personal data, the applicable provisions concerning processing, consent/legal bases, safeguards and obligations become relevant.

Copyright Act, 1957

Software, databases and digital models may raise copyright questions.

Contract Act, 1872

Contracts remain central to allocating:

• ownership;
• licences;
• access rights;
• maintenance duties;
• liability;
• confidentiality.

Electricity Act, 2003

For electricity infrastructure, digital twins may interact with statutory duties concerning generation, transmission, distribution, grid operation and regulatory oversight.

Sector-specific cybersecurity and infrastructure rules

Where a twin supports critical infrastructure, cybersecurity and critical-information-infrastructure requirements may become particularly important.

Indian legal scholarship has already identified issues surrounding digital twins in smart cities and homes, including intellectual property and data-use rights. NBU IR

16. Digital Twins and Electricity Infrastructure

The electricity sector illustrates why legal recognition is particularly important.

Imagine a national transmission-grid twin containing:

• substations;
• transmission lines;
• transformers;
• real-time load data;
• weather information;
• predictive maintenance models;
• outage simulations;
• cybersecurity information.

The twin could become almost as operationally important as the physical network.

If it becomes disconnected from the physical network, the operator may lose important decision-making capabilities.

If it is manipulated, the physical electricity system may be indirectly affected.

Therefore, electricity law may eventually need to distinguish between:

physical critical infrastructure and
digital infrastructure supporting critical infrastructure.

The latter could itself become legally protected infrastructure.

17. Proposed Legal Framework for Recognition

A comprehensive legal framework could recognize five categories.

Category I — Informational Twin

Used only for visualization and documentation.

Legal treatment: ordinary software/data rules.

Category II — Operational Twin

Used for monitoring and maintenance.

Legal treatment: contractual, safety and cybersecurity obligations.

Category III — Predictive Twin

Uses AI to predict failures and operational conditions.

Legal treatment: additional AI, auditability and liability requirements.

Category IV — Decision-Support Twin

Produces recommendations used by infrastructure operators.

Legal treatment: enhanced accountability and human-oversight obligations.

Category V — Autonomous Infrastructure Twin

Can automatically modify physical infrastructure operations.

Legal treatment: potentially the highest level of regulatory scrutiny because software decisions can directly affect physical infrastructure.

This graduated approach avoids treating every 3D model as critical infrastructure while still addressing genuinely safety-critical systems.

18. Core Principles for Legal Recognition

A future legal framework should incorporate the following principles:

1. Functional recognition

Legal consequences should depend upon what the twin actually does.

2. Data provenance

Every significant dataset should have an identifiable source.

3. Model integrity

The digital representation should remain synchronized with the physical asset.

4. Auditability

Important decisions should be reconstructable.

5. Human accountability

Automation should not eliminate responsibility.

6. Cybersecurity

The twin should be protected against unauthorized alteration.

7. Interoperability

Infrastructure owners should avoid being permanently locked into one platform.

8. Lifecycle responsibility

Legal obligations should continue from design through operation, modification and decommissioning.

9. Evidentiary reliability

Certified twins should potentially be capable of serving as authoritative technical records.

10. Separation of rights

Ownership of infrastructure, software, data and digital models should be separately identified.

19. Major Legal Challenges

The recognition of digital infrastructure twins creates several unresolved questions:

Ownership: Who owns the twin?

Control: Who can modify it?

Accuracy: What happens when the twin diverges from physical reality?

Liability: Who is responsible for an incorrect prediction?

Cybersecurity: Is attacking a digital twin equivalent to attacking critical infrastructure?

Evidence: When should information in a twin be legally presumed accurate?

Privacy: How should personal information embedded in infrastructure data be protected?

Interoperability: Can the infrastructure owner transfer the twin to another operator?

Regulatory authority: Can a regulator require operators to maintain an official digital twin?

Autonomy: What happens when an AI-driven twin makes an operational decision without human intervention?

20. Conclusion

Legal recognition of digital infrastructure twins should not necessarily mean granting them independent legal personality. A more workable approach is to recognize their different legal components and functions.

The emerging legal model can be understood as:

Physical infrastructure + digital model + data + software + AI + contractual rights + cybersecurity obligations + regulatory oversight.

Existing case law on software, data protection, digital platforms and electronic information provides useful legal principles, but there is not yet a mature body of judicial decisions specifically establishing the legal personality or property status of infrastructure digital twins. Contemporary research similarly indicates that digital twins are presently regulated through overlapping legal frameworks rather than through a dedicated digital-twin law. MDPI

For electricity, transport, water and smart-city systems, the most significant future development is likely to be functional legal recognition: once a digital twin becomes essential to the operation, safety or resilience of physical infrastructure, the law may need to treat the digital layer as a legally significant component of the infrastructure itself.

Thus, the central legal principle should be:

The more directly a digital twin influences the operation of physical infrastructure, the stronger the requirements for legal accountability, cybersecurity, auditability, reliability and regulatory oversight.

This approach permits technological innovation while ensuring that the transfer of infrastructure functions into digital environments does not create a corresponding transfer of responsibility into a legal vacuum.