Regulation of HR Tech Companies

1. Meaning and scope

HR technology (HR Tech) refers to technology used for recruitment, employee onboarding, attendance, payroll, performance management, workforce analytics, employee monitoring, background verification, benefits administration, and automated decision-making.

HR Tech companies may process large amounts of employee and applicant information, including names, contact details, employment history, salary information, attendance records, biometric information, photographs, location data, performance information and sometimes sensitive behavioural information.

In India, regulation of HR Tech is therefore not governed by one single statute. It operates through a combination of data-protection law, constitutional privacy principles, information-technology law, labour and employment law, contract law, and sector-specific requirements.

The Digital Personal Data Protection Act, 2023 (DPDP Act) establishes a framework for processing digital personal data and imposes obligations on Data Fiduciaries.

2. Digital Personal Data Protection Act, 2023

The DPDP Act is particularly important for HR Tech companies because their systems routinely process personal data of employees and job applicants.

Important obligations include:

• providing appropriate notice;
• obtaining valid consent where consent is the basis of processing;
• processing data for lawful purposes;
• maintaining appropriate security safeguards;
• responding to data-principal rights;
• providing grievance redressal;
• ensuring appropriate deletion/retention practices;
• managing relationships with Data Processors; and
• complying with additional requirements where an entity is designated as a Significant Data Fiduciary.

The Act also provides rights relating to access to information, correction and erasure, grievance redressal and nomination.

Where consent is relied upon, withdrawal must be capable of being exercised with an ease comparable to giving consent, subject to the statutory framework.

The DPDP Rules, 2025 provide further implementation details, including requirements concerning notices, consent management and security. The Rules use a phased commencement structure rather than making every provision operative simultaneously.

3. HR Tech companies as Data Fiduciaries or Data Processors

The regulatory position depends upon the company's role.

For example:

HR software provider acting on an employer's instructions:
It may function as a Data Processor.

HR recruitment platform determining its own purposes for processing applicant information:
It may itself fall within the Data Fiduciary framework.

This distinction is important because contractual arrangements should clearly identify:

• what data is collected;
• why it is collected;
• who determines the purpose of processing;
• who can access it;
• where it is stored;
• how long it is retained;
• whether it is transferred to third parties;
• security responsibilities; and
• procedures following a data breach.

4. Employee monitoring and surveillance

HR Tech increasingly includes:

• GPS tracking;
• facial-recognition attendance;
• biometric attendance;
• productivity monitoring;
• keystroke monitoring;
• CCTV;
• screenshots;
• email monitoring;
• device monitoring; and
• behavioural analytics.

Such technology must be balanced against employees' privacy rights.

In K.S. Puttaswamy v. Union of India, the Supreme Court recognised privacy as a fundamental right under Article 21. The Court's privacy framework requires an invasion of privacy to satisfy legality, a legitimate purpose and proportionality.

This principle is highly relevant where an employer or HR Tech provider collects extensive employee information.

5. Important Case Laws

1. Justice K.S. Puttaswamy (Retd.) v. Union of India, (2017) 10 SCC 1

This nine-judge Constitution Bench decision established privacy as a constitutionally protected fundamental right.

For HR Tech, the case is important because employee monitoring, biometric systems, location tracking and extensive employee profiling may involve privacy interests.

The judgment also recognised that technological development can create new forms of surveillance, profiling and data collection.

Principle: Privacy is constitutionally protected and technological processing of personal information cannot be treated as completely unrestricted.

2. Justice K.S. Puttaswamy (Retd.) v. Union of India, (2018) 8 SCC 1

The Aadhaar judgment applied the privacy principles developed in the 2017 decision.

The Supreme Court considered the legality, safeguards and proportionality of large-scale collection and processing of demographic and biometric information.

HR Tech relevance:
Where an HR platform uses biometrics, facial recognition or other highly intrusive identification technologies, the organisation should consider the legality, purpose, necessity and safeguards surrounding such processing.

3. Raptakos Brett Employee's Union v. Deputy Commissioner of Labour, 2014

The Madras High Court dealt with CCTV surveillance at a workplace, including CCTV installed in an employees' restroom.

The Court directed removal of the CCTV from the restroom, treating that area as a private space where employer surveillance was not warranted.

HR Tech relevance:
Workplace monitoring technology cannot automatically be justified merely because it is technically possible. The location, purpose and intrusiveness of surveillance matter.

4. Raptakos Brett & Co. Ltd. v. Raptakos Brett Employees Union, 2021

The later proceedings concerning CCTV surveillance considered the employer's argument that CCTV was being used to monitor movement within the workplace and deter employees from leaving work areas unnecessarily.

The litigation illustrates the distinction between surveillance in operational areas and surveillance in private areas such as toilets.

HR Tech relevance:
Employee-monitoring systems should be designed around legitimate workplace purposes rather than unrestricted monitoring.

5. ONGC Officers Association v. Oil and Natural Gas Corporation Ltd., 2026

The Delhi High Court considered a technology-based attendance system using a mobile application, geo-fencing, facial recognition and liveness checks.

The Court noted that such technology involves collection of personal data and raises privacy concerns, while distinguishing attendance verification at a designated workplace from continuous or "roving" surveillance of employees throughout the working day.

HR Tech relevance:
This is particularly significant for modern HR Tech because it demonstrates that the legal analysis may depend upon the extent and purpose of monitoring, rather than simply whether technology is being used.

6. Prakash Chand Sharma v. Union of India, 2025

The Delhi High Court considered CCTV surveillance in an employment/service-related context and discussed privacy, evidentiary issues and the circumstances in which surveillance may be justified.

The Court considered whether surveillance conducted pursuant to an investigative purpose could amount to an unlawful invasion of privacy, while also considering the evidentiary and procedural aspects of the CCTV material.

HR Tech relevance:
The case demonstrates that surveillance evidence may raise two separate questions: whether the collection was legally justified and whether the resulting material can properly be relied upon in proceedings.

7. Kumar.K v. The Hotel Manager, 2026

The Kerala High Court considered CCTV footage and attendance records in an employment dispute. The Court noted that CCTV footage and entry records could constitute important evidence concerning an employee's presence at the workplace and drew an adverse inference where relevant material had not been produced.

HR Tech relevance:
Digital HR records should be properly preserved, secured and capable of being produced when employment disputes arise.

6. Regulation of AI-based recruitment

Modern HR Tech companies increasingly use AI for:

• CV screening;
• candidate ranking;
• psychometric assessment;
• interview analysis;
• employee-performance scoring;
• promotion recommendations; and
• workforce-risk predictions.

This creates additional legal concerns.

An AI system may unintentionally reproduce discrimination contained in historical employment data. For example, if historical recruitment data reflects discriminatory hiring practices, an algorithm trained on that data could perpetuate the same pattern.

Therefore, HR Tech providers should maintain:

1. documented decision-making criteria;
2. human oversight;
3. testing for discriminatory outcomes;
4. audit trails;
5. explainability appropriate to the decision;
6. procedures for correcting inaccurate employee data; and
7. safeguards against unauthorised automated decisions.

7. Biometric HR technology

Biometric HR systems may include:

• fingerprints;
• facial recognition;
• iris recognition;
• voice recognition; and
• other biometric identifiers.

These systems require particular care because biometric information is difficult to replace if compromised.

The Aadhaar litigation demonstrates the importance of safeguards surrounding biometric information and the constitutional significance of privacy and informational autonomy.

An HR Tech company should therefore consider whether biometric processing is actually necessary for the stated employment purpose and whether a less intrusive alternative could achieve the same objective.

8. Cybersecurity obligations

HR Tech companies hold valuable information such as:

• salary records;
• bank information;
• identity documents;
• employment contracts;
• tax information;
• attendance records;
• employee communications;
• performance assessments; and
• applicant databases.

A security failure may expose thousands of employees simultaneously.

Consequently, companies should maintain:

• access controls;
• encryption where appropriate;
• authentication mechanisms;
• logging and monitoring;
• vulnerability management;
• incident-response procedures;
• backup systems;
• vendor security assessments; and
• employee confidentiality controls.

The DPDP framework expressly places security and compliance obligations on Data Fiduciaries.

9. Third-party HR Tech vendors

Employers frequently outsource HR functions to technology providers.

Examples include:

Employer → HR software company → cloud provider → analytics provider

This creates a chain of data processing.

Contracts should therefore address:

• permitted processing;
• confidentiality;
• security requirements;
• subcontractors;
• data retention;
• deletion/return of data;
• breach management;
• audit rights;
• access controls;
• cross-border processing; and
• responsibility for regulatory compliance.

The employer should not assume that outsourcing automatically transfers its legal responsibilities.

10. Cross-border HR data

Multinational companies frequently transfer employee information between India and foreign offices.

Examples include:

• Indian employee data transferred to a US HR platform;
• Indian recruitment data processed by an overseas cloud provider;
• global payroll systems;
• multinational employee analytics.

The DPDP Act contains specific provisions concerning processing of personal data outside India, subject to the statutory framework and government restrictions.

Therefore, HR Tech companies should map where employee information is stored and processed.

11. Employee consent is not the only consideration

A common mistake is to assume:

"The employee agreed, therefore every form of monitoring is lawful."

That is too simplistic.

An HR Tech implementation should also consider:

• statutory authority;
• legitimate employment purpose;
• proportionality;
• transparency;
• necessity;
• security;
• retention;
• employee rights;
• contractual obligations; and
• applicable labour legislation.

The constitutional privacy jurisprudence particularly emphasises legality, legitimate purpose and proportionality.

12. Practical compliance framework for HR Tech companies

A compliant HR Tech company should ideally establish the following framework:

Conclusion

Regulation of HR Tech companies in India is becoming increasingly important as employers move from traditional HR administration toward AI recruitment, biometric attendance, employee surveillance, workforce analytics and automated decision-making.

The central legal principle is that technological capability does not by itself determine legal permissibility. HR Tech must operate within the framework of privacy, data protection, employment law, cybersecurity, contractual obligations and procedural fairness.

The Supreme Court's privacy jurisprudence, together with workplace-surveillance decisions such as Raptakos Brett and the more recent ONGC Officers Association decision, demonstrates the importance of examining the purpose, necessity, scope and proportionality of employee-data processing.

The DPDP Act and the 2025 Rules add a dedicated statutory framework for digital personal-data processing, making data governance an increasingly important part of HR Tech compliance.