Intellectual property rights in digital twin models

Introduction

A digital twin is a virtual representation of a physical object, process, system or environment that uses real-time data, sensors, artificial intelligence and simulation technologies to monitor and predict the behaviour of its physical counterpart. Digital twins are increasingly used in manufacturing, healthcare, biotechnology, smart cities, aerospace, agriculture and industrial automation.

The development of digital twin models involves software code, algorithms, engineering designs, databases, technical drawings and confidential business information. These elements may qualify for different forms of intellectual property (IP) protection. However, determining ownership becomes complicated when developers, manufacturers, software companies, research institutions and data providers collaborate.

Intellectual property law therefore plays an important role in protecting digital twin technologies while balancing innovation, data access and commercial interests.

Legal framework governing digital twin intellectual property

India does not have a separate statute specifically governing intellectual property rights in digital twin models. Their protection is determined through existing IP legislation.

1. Copyright Act, 1957

Copyright may protect the original software code, technical documentation, graphical interfaces, simulation models and visual representations forming part of a digital twin.

Computer programs are protected as literary works under the Copyright Act. Section 14 explains the exclusive rights available to copyright owners, including reproduction and adaptation rights.

However, copyright protects the original expression of software and documentation rather than the underlying technical idea, mathematical principle or functionality.

2. Patents Act, 1970

Digital twin inventions may qualify for patent protection when they satisfy novelty, inventive step and industrial applicability requirements.

Section 3(k) excludes mathematical methods, business methods, computer programmes per se and algorithms from patentability. Therefore, a digital twin software invention cannot receive a patent merely because it uses artificial intelligence or simulation software. A technical invention demonstrating a qualifying technical contribution must be examined under the statutory framework.

3. Designs Act, 2000

The Designs Act may protect the visual features of an industrial article, including qualifying product appearances. However, ordinary software interfaces and purely virtual representations do not automatically qualify for design registration.

4. Trade secrets and contractual protection

Digital twin models frequently contain confidential algorithms, manufacturing processes, calibration information and proprietary datasets. Such information may be protected through confidentiality agreements, restricted access, licensing arrangements and contractual obligations.

Ownership of intellectual property in digital twin models

Ownership depends on who develops the model, who contributes the underlying technology and what agreements govern the project.

A software developer may own copyright in independently created software unless the rights have been assigned or another statutory rule applies. A manufacturer may own pre-existing engineering drawings and technical specifications. A research institution may hold rights in inventions developed under institutional research agreements.

Digital twin projects also involve multiple layers of intellectual property:

Software ownership: Rights in source code, simulation engines and interfaces.

Patent ownership: Rights in qualifying technical inventions and processes.

Database rights: Copyright may protect original database selection or arrangement, while individual facts and raw data are not automatically protected by copyright.

Trade secrets: Confidential industrial processes, algorithms and operational information.

Design rights: Protection for qualifying visual features of physical products.

The ownership of the physical asset does not automatically establish ownership of its digital twin.

Major intellectual property disputes

Digital twin technology creates several potential legal conflicts.

1. Ownership of generated data: Manufacturers and software developers may disagree over rights to sensor-generated information and operational datasets.

2. Software licensing: A company using a third-party simulation platform may violate licensing conditions by copying, modifying or commercially distributing protected software.

3. Patent infringement: A digital twin may incorporate patented simulation methods, sensor technologies or industrial processes without authorisation.

4. Employee-created innovations: Disputes may arise where employees develop digital twin technologies using company resources or confidential information.

5. Reverse engineering: Competitors may attempt to reproduce proprietary digital twin models by analysing their outputs or technical behaviour. The legality depends on applicable IP rights, contractual restrictions and the method used.

Important judicial decisions

1. Eastern Book Company v. D.B. Modak (2008) 1 SCC 1

The Supreme Court examined originality under copyright law and held that protection requires a sufficient degree of skill, judgment and creativity. This principle is relevant to digital twin software, technical documentation and original model representations. Mere collection of unoriginal information does not automatically receive copyright protection.

2. Ferid Allani v. Union of India (2019) 259 DLT 311

The Delhi High Court considered the patentability of computer-related inventions and emphasised that inventions demonstrating a technical effect or technical contribution should not automatically be excluded merely because they involve computer programmes. This decision is particularly relevant to digital twin systems involving industrial simulation, predictive maintenance and technical optimisation.

3. Microsoft Corporation v. Motorola, Inc. (2012) 696 F.3d 872

The United States Court of Appeals examined obligations concerning reasonable and non-discriminatory licensing of standard-essential patents. Although it is a foreign decision and not binding in India, it provides useful guidance for understanding licensing disputes involving technology platforms and interoperable digital systems.

4. Tata Consultancy Services v. State of Andhra Pradesh (2005) 1 SCC 308

The Supreme Court examined the legal and commercial character of software transactions. Although the case primarily concerned taxation, it demonstrates the importance of recognising software as a distinct commercial product. This is relevant to licensing and commercialisation arrangements involving digital twin software.

These decisions provide relevant principles on software copyright, computer-related inventions and technology licensing, although none directly establishes a comprehensive legal framework for digital twin ownership.

Regulatory challenges and protection measures

Digital twin models create difficulties because their development combines software, physical engineering, continuous data collection and artificial intelligence. Traditional IP laws may protect individual components without clearly resolving ownership of the complete digital system.

Organisations should adopt written agreements specifying:

Ownership of source code, simulation models and technical designs.

Rights over background and newly developed intellectual property.

Permitted use of sensor data and operational datasets.

Software licensing and third-party technology restrictions.

Confidentiality and trade-secret protection.

Rights to modify, reproduce and commercially distribute digital twins.

Procedures for resolving ownership and infringement disputes.

Conclusion

Intellectual property rights in digital twin models are essential for protecting software innovation, industrial designs, technical inventions and confidential business information. Indian copyright, patent, design and contractual laws provide protection for different components of digital twin systems. However, ownership of integrated models and continuously generated data remains legally complex. Clear contractual arrangements, appropriate IP registration, licensing controls and confidentiality measures are necessary to protect developers and users. A balanced legal framework can encourage digital innovation while supporting technological collaboration and commercial development.