{"id":482,"date":"2021-06-11T10:09:00","date_gmt":"2021-06-11T10:09:00","guid":{"rendered":"https:\/\/vanleeuwenlawfirm.eu\/?p=482"},"modified":"2026-06-16T11:36:34","modified_gmt":"2026-06-16T11:36:34","slug":"the-key-principles-of-gdpr","status":"publish","type":"post","link":"https:\/\/vanleeuwenlawfirm.eu\/en\/expertises\/tech-and-digital\/privacy-data-and-cybersecurity\/the-key-principles-of-gdpr\/","title":{"rendered":"The Key Principles of GDPR"},"content":{"rendered":"\t\t
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The core principles of the GDPR constitute the foundational normative framework for any processing of personal data that must be legally sustainable, administratively explainable and operationally defensible. They determine not only the conditions under which data may be collected, used, shared, retained or erased, but also the degree of care required of an organisation when digital processes, commercial objectives, technical systems and supply-chain dependencies converge. In an environment in which data is continuously generated, enriched, linked, analysed and transferred, these principles provide a necessary boundary against unfocused data collection, insufficiently justified reuse, inadequate security and administrative complacency. Their significance therefore extends well beyond privacy compliance in the narrow sense. They touch upon governance, risk control, digital integrity, information management, contracting, supervision, incident response and the manner in which an organisation gives practical effect to its public credibility in a data-driven reality.<\/p>\n

Within the framework of Integrated Digital Crime Risk Management, the core principles of the GDPR also acquire a broader strategic function. Digital Crime Risks, such as identity fraud, account takeover, phishing, data breaches, credential compromise, Business Email Compromise and unauthorised access to systems, often arise where data flows are insufficiently controlled, purposes are insufficiently defined, access rights are too broadly configured or accountability lines are too weakly developed. In that respect, the GDPR principles do not merely provide a legal frame of reference, but also an administrative, organisational and forensic assessment instrument. They reveal where data processing becomes vulnerable, where digital dependencies have not been adequately justified and where technical possibilities threaten to displace normative limits. An organisation that takes these principles seriously does not treat data protection as a final check after the event, but as a guiding premise for design, decision-making, documentation, security and Digital Crime Control.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Lawfulness, Fairness and Transparency<\/h4>\n

Lawfulness, fairness and transparency together form the first and most fundamental assessment framework for the processing of personal data. Lawfulness requires every processing operation to rest on a valid legal basis, such as consent, performance of a contract, compliance with a legal obligation, protection of vital interests, performance of a task carried out in the public interest or a legitimate interest that has been carefully balanced. That legal basis must not be constructed retrospectively to justify an existing practice, but must be determined in advance, documented and connected to a concrete purpose. In a digital context in which organisations often use multiple data sources, platforms, applications, suppliers and analytical tools, it is insufficient to refer in general terms to business interests, efficiency or customer relationships. The question must always be which data is processed, for what purpose, on what legal basis, within what limits and with what consequences for the data subject.<\/p>\n

Fairness adds an independent normative dimension to lawfulness. A processing operation may formally rest on a legal basis and still be problematic where the manner of processing is misleading, imbalanced, unexpected, disproportionate or insufficiently careful. Fairness therefore requires attention to context, power relationships, reasonable expectations, the data subject\u2019s information position and possible adverse effects. This is particularly important in situations where personal data is used for profiling, risk selection, fraud detection, marketing segmentation, access management or automated decision-making. In such contexts, an apparently neutral processing operation may result in exclusion, incorrect risk assessment, reputational harm or loss of control over personal information. Within Integrated Digital Crime Risk Management, fairness is therefore closely connected with integrity oversight: the issue is not only whether processing may take place, but also whether that processing fits within a careful, proportionate and explainable digital risk strategy.<\/p>\n

Transparency makes this normative assessment capable of being verified. Data subjects must be able to understand which personal data is processed, why this occurs, how long the data is retained, with whom it is shared, which rights exist and how those rights may be exercised. Transparency requires clear, accessible and factually accurate information, not merely standard legal formulations that obscure the actual processing. Privacy notices, internal communications, cookie information, contractual provisions and process documentation must correspond with the actual data flows within the organisation. Where an organisation externally promises simplicity and control, but internally operates with fragmented databases, opaque supplier chains or analytical tools whose operation is difficult to trace, a serious governance risk arises. Transparency is therefore not a communication formality, but evidence of control: it demonstrates whether the organisation truly knows, can explain and can account for its own processing of personal data.<\/p>\n

Purpose Limitation<\/h4>\n

Purpose limitation requires personal data to be collected for specified, explicit and legitimate purposes. This principle compels the organisation to determine in advance why data is needed and which processing activities fall within that purpose. A general reliance on business operations, customer management, security, innovation or risk control is insufficient. The purpose must be sufficiently concrete to enable an assessment of which data is necessary, which retention period is appropriate, which access is justified, which security measures are required and whether subsequent reuse is compatible with the original purpose. Without clear purpose definition, data processing becomes administratively directionless. Data may then easily shift from service provision to analysis, from analysis to commercial use, from commercial use to risk selection and from risk selection to decision-making without the normative basis being reassessed.<\/p>\n

In digital organisations, purpose limitation is often vulnerable because data is used simultaneously in multiple places. A dataset originally collected for customer administration may later appear attractive for marketing, credit assessment, fraud monitoring, product development or training purposes for algorithmic systems. Such a shift is not automatically prohibited, but it requires a careful assessment of compatibility, proportionality, the reasonable expectations of data subjects, the nature of the data, the possible consequences and the safeguards available. The risk lies particularly in function creep: the gradual expansion of processing purposes without an explicit reconsideration of the legal and ethical basis. Purpose limitation therefore operates as a restraint on administrative convenience and technical opportunism. It requires reuse to be justified not by the availability of data, but by demonstrable necessity, compatibility and responsible decision-making.<\/p>\n

Within Integrated Digital Crime Risk Management, purpose limitation has direct significance for Digital Crime Control. Fraud prevention, cybersecurity, monitoring, incident investigation and access control may be legitimate purposes, but they must not lead to unlimited surveillance, permanent profiling or unclear data collections. An organisation must be able to distinguish which data is needed for security, which data is needed for compliance, which data is needed for forensic investigation and which data falls outside the permitted framework. That distinction is essential in relation to logging, threat intelligence, email monitoring, user analytics, detection of suspicious transactions and investigation of data breaches. Purpose limitation prevents security arguments from being used as a general licence for extensive processing of personal data. The strength of the principle lies in the obligation to combine digital resilience with legal limits, administrative precision and demonstrable proportionality.<\/p>\n

Data Minimisation<\/h4>\n

Data minimisation provides that only personal data which is adequate, relevant and limited to what is necessary for the specific processing purpose may be processed. This principle stands in direct contrast to the tendency of many digital systems to record as much data as possible because storage appears inexpensive, analysis may prove useful later and future commercial or operational applications may not yet be known. The GDPR requires a different approach. The potential future value of data is not decisive; necessity within the defined purpose is. Data minimisation therefore requires a critical assessment at the outset: which data is genuinely necessary, which data is merely convenient, which data primarily increases risk and which data can be omitted, aggregated, pseudonymised or erased earlier.<\/p>\n

The significance of data minimisation increases as data becomes more sensitive, more extensive or more easily combinable. Individual data points may, when combined with other datasets, produce an intrusive profile of behaviour, preferences, location, financial position, health, vulnerability or social relationships. As a result, an organisation may know more than is necessary for its service provision or risk control. This increases not only privacy risks, but also liability risks, security burdens and harm in the event of an incident. A data breach involving limited, carefully selected data has a different risk profile from a breach in which unnecessary historical data, identity documents, communication files or behavioural data remain available. Data minimisation is therefore also a security measure: what is not collected or no longer retained can less easily be misused, leaked, copied or demanded.<\/p>\n

Within Integrated Digital Crime Risk Management, data minimisation is an important instrument against unnecessary exposure to Digital Crime Risks. Excessive data collection increases the attractiveness of an organisation to cybercriminals, increases the impact of ransomware and data breaches, and increases the risk that stolen data will be used for phishing, identity fraud, social engineering or account takeover. At the same time, data minimisation must be applied carefully, because certain security and investigative processes require logging, detection data and audit trails. The core issue is therefore not minimal information at any price, but necessary information within a clear purpose, supported by appropriate retention periods, access restrictions and security. Data minimisation requires discipline in system configuration, form design, onboarding processes, customer acceptance, monitoring, reporting and incident response. It makes clear that effective Digital Crime Control does not arise from unlimited collection, but from a targeted, proportionate and controllable information position.<\/p>\n

Accuracy of Data<\/h4>\n

The principle of accuracy of data requires personal data to be factually reliable, up to date and usable for the purpose for which it is processed. Incorrect, outdated, incomplete or misinterpreted data may have significant consequences for data subjects, particularly where it is used for decision-making, risk assessment, access management, financial assessment, enforcement, screening or fraud detection. An incorrect address, inaccurate registration, outdated status, wrongly linked file or incomplete context may lead to refusal, blocking, investigation, escalation or reputational harm. The GDPR therefore requires organisations to take reasonable measures to keep data up to date and to correct or erase errors where necessary. Accuracy is therefore not an administrative detail, but a precondition for reliable decision-making.<\/p>\n

In complex digital environments, accuracy is more difficult to safeguard than in simple records. Data is often entered by multiple departments, obtained from external sources, enriched by systems, shared with suppliers and used within automated workflows. Errors can therefore spread rapidly and continue to exist across multiple systems. A correction in one source system does not automatically mean that derived datasets, reports, exports, backups, risk models or customer profiles have also been amended. This requires clear data responsibility, traceability of sources, procedures for rectification, quality controls and technical mechanisms through which corrections actually take effect. Without such control, a situation arises in which requests for rectification may be formally processed while the error continues to circulate in the organisation\u2019s digital environment.<\/p>\n

Within Integrated Digital Crime Risk Management, accuracy of data is also important for the quality of risk detection and incident investigation. Unreliable data leads to incorrect alerts, false suspicions, missed incidents or disproportionate measures. In relation to Digital Crime Risks, this can be particularly damaging. A wrongly linked IP address, incorrect user identity, outdated authorisation role or incomplete log entry can seriously distort an investigation into phishing, account takeover, data breaches or internal fraud. Accuracy therefore requires not only remediation towards data subjects, but also forensic reliability: data must be managed in such a way that conclusions, warnings, escalations and reports remain verifiable. The organisation must be able to explain where information came from, how it was processed, which uncertainties exist and which measures were taken to prevent or correct errors.<\/p>\n

Storage Limitation<\/h4>\n

Storage limitation requires personal data not to be retained for longer than is necessary for the purpose for which it was collected or otherwise lawfully processed. This principle compels organisations to treat retention periods not as technical default settings or broad safety margins, but as legally and administratively reasoned choices. Every category of data must be linked to a concrete purpose, an appropriate retention period, a deletion moment and a responsible process configuration. Distinctions must be made between operational data, contractual data, statutory retention obligations, audit information, security logs, incident documentation and data that may be required for legal claims. A general practice in which data remains available indefinitely because deletion is organisationally difficult does not satisfy the requirements of careful data protection.<\/p>\n

Storage limitation has a direct relationship with risk, proportionality and digital controllability. The longer data is retained, the greater the chance that it becomes outdated, is used out of context, remains accessible to overly broad groups or is affected by incidents. Old customer data, application files, copies of identity documents, email archives, log files and investigation files may, over time, lose their original utility, while the risk of misuse remains or even increases. An organisation without an effective retention policy cycle creates a growing digital legacy in which historical data becomes a source of legal uncertainty, security risk and reputational harm. Storage limitation therefore requires not only policy on paper, but also technical execution: automatic deletion where possible, periodic review where necessary, exception management, retention-period registration and demonstrable destruction or anonymisation.<\/p>\n

Within Integrated Digital Crime Risk Management, storage limitation is an essential component of Digital Crime Control. Unnecessarily retained data increases the harm caused by ransomware, data breaches, insider threats, unauthorised exports and credential compromise. At the same time, certain data may be temporarily necessary for security, logging, investigation and evidential purposes. The challenge lies in finding a defensible balance: retaining enough data to detect, investigate and reconstruct incidents, but not so broadly that the organisation creates an unnecessarily large data risk. This requires pre-defined retention periods for security logs, incident files, access records, reports, forensic copies and communications with supervisory authorities. Storage limitation therefore reveals whether the organisation controls its digital information position or merely allows it to expand. A careful retention framework protects data subjects, limits incident impact and strengthens the defensibility of decision-making under supervision, dispute and crisis.<\/p>\n

Integrity and Confidentiality<\/h4>\n

Integrity and confidentiality require personal data to be protected against unauthorised or unlawful processing, loss, destruction, damage, alteration, disclosure and unauthorised access. This principle forms the security core of the GDPR, but it must not be reduced to technical information security alone. It concerns an integrated obligation in which legal responsibility, administrative direction, technical security, organisational measures, contractual safeguards and operational discipline converge. Appropriate security therefore requires a risk-based assessment of the nature of the data, the processing context, the threats, the potential consequences for data subjects and the actual vulnerabilities within systems, processes and chains. Encryption, access management, logging, segmentation, backup policy, patch management, monitoring, supplier control, incident procedures and authorisation models are not isolated security instruments, but components of one coherent level of protection.<\/p>\n

Confidentiality presupposes that only those persons, systems and parties have access to personal data to the extent necessary for a clearly defined task or purpose. In many organisations, risks arise because access rights gradually expand, temporary authorisations remain in place, former roles are not revoked in time, shared mailboxes are insufficiently controlled or external service providers are granted broader access than is functionally necessary. Such vulnerabilities are not merely technical in nature, but directly affect governance and accountability. An organisation that cannot precisely explain who has access to which personal data, why that access exists, how long that access lasts and how misuse is detected has insufficient control over confidentiality. Integrity further requires that data cannot be altered, manipulated or corrupted without detection. This is of great importance in relation to customer files, financial data, medical or social welfare data, risk indicators, compliance records, log registrations and evidence in incident investigations.<\/p>\n

Within Integrated Digital Crime Risk Management, integrity and confidentiality constitute a central pillar of Digital Crime Control. Many Digital Crime Risks arise because criminals gain access to personal data, login credentials, communication patterns or internal process information and subsequently use that information for phishing, spear phishing, Business Email Compromise, identity fraud, account takeover, ransomware or social engineering. Securing personal data is therefore not only a privacy obligation, but also a direct line of defence against digital crime. An organisation that carefully segments personal data, limits access, detects unusual behaviour, investigates incidents promptly and keeps data flows controllable reduces not only the risk of GDPR infringements, but also the risk that personal information is converted into criminal advantage. Integrity and confidentiality therefore show that data protection and Digital Crime Control reinforce each other: protecting data means protecting individuals, processes, reputation and institutional trust.<\/p>\n

Accountability<\/h4>\n

Accountability requires the controller not only to comply with the core principles of the GDPR, but also to be able to demonstrate that such compliance actually exists. This principle shifts the GDPR from a purely normative framework to a demonstrable governance model. Good intentions, general policy statements or isolated compliance documents are insufficient where it cannot be shown how choices were made, which risks were assessed, which measures were taken, who is responsible, which controls are carried out and how deviations are corrected. Accountability requires data processing to be traceable, explainable and verifiable. This means, among other things, that records of processing activities must be up to date, legal bases must be documented, legitimate-interest assessments must be recorded, processor relationships must be controlled, security measures must be substantiated and requests from data subjects must be capable of careful reconstruction.<\/p>\n

The practical significance of accountability becomes particularly visible in complaints, data breaches, supervisory investigations, audits, disputes and incident response. At that moment, the question is not only whether an organisation asserts that it acted carefully, but whether the file supports that assertion. A supervisory authority, court, contractual counterparty or data subject will want to see which considerations were taken into account, which alternatives were considered, why certain data was necessary, why a retention period was deemed appropriate, why a security level was considered sufficient and how the organisation responded to risk signals. Accountability therefore requires administrative discipline in which documentation is not prepared retrospectively to defend an existing practice, but is used before and during the process as an instrument of decision-making. This creates an organisation that is not dependent on oral explanation, individual recollection or isolated expertise, but has a demonstrable line of accountability.<\/p>\n

Within Integrated Digital Crime Risk Management, accountability has particular significance because Digital Crime Risks often materialise in situations in which speed, uncertainty and evidential position are under pressure. In the event of a data breach, ransomware attack, phishing campaign or suspected unauthorised access, it must be possible to establish which data has been affected, which systems are involved, which security measures were active, which notification obligations apply, which data subjects must be informed and which remediation measures are necessary. Without accountability, the foundation for credible incident response is absent. The organisation is then unable to demonstrate convincingly that risks were assessed in advance, that measures were appropriate, that signals were taken seriously and that escalation took place in an orderly manner. Accountability is therefore not an administrative burden, but a strategic defensive position. It enables consistent, verifiable and legally sustainable action under pressure.<\/p>\n

Privacy by Design and Privacy by Default<\/h4>\n

Privacy by design requires data protection to be embedded from the initial design stage of processes, systems, services, products and cooperation models. Privacy must not be added as a corrective measure after commercial choices, technical configuration and operational workflows have already been fixed. The principle requires that, for every new digital application, it is assessed in advance which personal data is necessary, which legal basis applies, which risks arise, which data subject rights may be affected, which security is required and how data flows can be limited. This requires close alignment between legal analysis, product development, information security, data governance, procurement, compliance and administrative decision-making. Where privacy is only involved late in the process, systems are often already configured for broad data collection, extensive access, long retention periods or unclear connections with third parties. Remediation then becomes costly, slow and often incomplete.<\/p>\n

Privacy by default complements this by requiring default settings to be privacy-protective. A data subject must not be made dependent on complicated choices, hidden settings or active opt-outs in order to obtain protection. By default, only those personal data may be processed that are necessary for the specific purpose. This applies to online forms, customer portals, apps, cookies, marketing preferences, user profiles, location data, communication settings, authorisations and internal workflows. The principle prevents organisations from formally offering protection while practically discouraging it through complexity, unclear language or steering interface choices. Privacy by default is therefore also a behavioural norm for digital interaction: the user must not be forced to earn protection through alertness, technical knowledge or legal knowledge, but may expect basic protection to be present by default.<\/p>\n

Within Integrated Digital Crime Risk Management, privacy by design and privacy by default are indispensable for sustainable Digital Crime Control. Systems that, from the design stage onwards, operate with limited data collection, clear roles, strong authentication, separated environments, logging, data classification, secure default settings and controllable data flows are more resilient against misuse. By contrast, systems in which broad access, default sharing, permanent storage and insufficient segmentation are embedded from the outset increase the impact of credential compromise, insider threats, data breaches and ransomware. Privacy by design and privacy by default therefore bring data protection and security by design together in practical terms. They ensure that digital innovation is not built on maximum data availability, but on necessity, proportionality, controllability and securability. This makes data processing not only more resistant to GDPR scrutiny, but also more resilient against digital crime.<\/p>\n

Data Subject Rights as the Practical Application of the Principles<\/h4>\n

The rights of data subjects constitute the concrete operationalisation of the core principles of the GDPR. Rights of access, rectification, erasure, restriction of processing, data portability, objection and protection against solely automated decision-making provide data subjects with means to enforce control, correction and limitation. These rights cannot be separated from the principles. Transparency gains meaning because a data subject may request access. Accuracy gains meaning because rectification may be demanded. Storage limitation gains meaning because erasure may, in certain circumstances, be enforced. Purpose limitation and data minimisation gain meaning because objections may be raised against certain forms of processing. Accountability gains meaning because the organisation must be able to explain how a request was assessed, which data was found, which exceptions apply and why certain information is or is not provided.<\/p>\n

In practice, data subject rights often reveal whether an organisation truly controls its data environment. A request for access may appear straightforward, but it requires clarity as to where personal data is located, which systems are relevant, which third parties process data, which exceptions may apply, which information relating to others must be protected and how the outcome can be presented in an understandable manner. A request for erasure requires knowledge of which retention obligations exist, which data remains necessary, which data is held by processors and how deletion is actually executed. A request for restriction or objection requires systems to be capable of pausing or isolating processing without data continuing to flow uncontrolled through automated processes. Data subject rights therefore function as an operational stress test for data governance, process configuration, supplier management, documentation and internal responsibility.<\/p>\n

Within Integrated Digital Crime Risk Management, these rights are also relevant to trust and Digital Crime Control. Individuals who receive insufficient insight into processing, correction or erasure will more readily lose confidence in digital services and become more vulnerable to uncertainty after incidents. In cases of data breaches, identity fraud, account takeover or unlawful disclosure, effective exercise of rights can contribute to harm reduction, remediation and clarity. At the same time, organisations must carefully balance rights against security interests, fraud prevention, ongoing investigations, statutory obligations and the rights of third parties. This requires procedures that are both accessible and legally precise. An organisation must not only respond in time, but also explain substantively, search in a targeted manner, justify exceptions and verify implementation. Data subject rights are therefore not an administrative obligation at the margins of the privacy programme, but a direct measure of the reliability of digital processes.<\/p>\n

The Core Principles of the GDPR as the Foundation of Strategic Digital Integrity Management<\/h4>\n

Taken together, the core principles of the GDPR form the foundation of strategic digital integrity management. They create coherence between lawfulness, proportionality, transparency, data quality, security, retention policy, accountability and rights protection. This produces a framework through which organisations can assess digital processes not only technically or commercially, but also normatively, legally and administratively. In a data-driven environment, there is constant pressure to collect more data, retain it for longer, analyse it more broadly and link it more quickly. The GDPR principles place a different premise against that pressure: data processing must be necessary, purpose-specific, explainable, secure, limited and demonstrably controlled. That premise is essential for any organisation seeking to connect digital innovation with trust, legitimacy and administrative reliability.<\/p>\n

Strategic digital integrity management requires the GDPR principles not to be applied in isolation. Lawfulness without transparency remains vulnerable. Purpose limitation without data minimisation loses precision. Security without storage limitation leaves unnecessary risks in place. Accountability without actual process control becomes a paper-based defence. Data subject rights without reliable data inventory remain formal, but practically insufficient. The strength of the principles therefore lies in their mutual effect. They require organisations to view data processing as an administrative whole in which legal basis, operational execution, technical configuration, supplier chain, risk assessment and supervisory resilience converge. Privacy thereby shifts from a separate compliance function to a core component of digital decision-making.<\/p>\n

Within Integrated Digital Crime Risk Management, this foundation has particular value because Digital Crime Risks and privacy risks increasingly affect the same vulnerabilities. Unrestricted data collection increases the damage caused by data breaches. Unclear purposes make monitoring and investigation difficult to defend. Weak access control increases the risk of account takeover and insider misuse. Inadequate transparency undermines trust after incidents. Missing accountability weakens the position towards supervisory authorities, clients, contractual parties and data subjects. The core principles of the GDPR therefore provide not only rules for data protection, but also a strategic framework for Digital Crime Control. They help determine which information is necessary, how that information must be protected, when use must be limited, how responsibility is made demonstrable and how digital systems remain aligned with a legally, ethically and administratively defensible course.<\/p>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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The core principles of the GDPR constitute the foundational normative framework for any processing of personal data that must be legally sustainable, administratively explainable and operationally defensible. They determine not only the conditions under which data may be collected, used, shared, retained or erased, but also the degree of care required of an organisation when digital processes, commercial objectives, technical systems and supply-chain dependencies converge. In an environment in which data is continuously generated, enriched, linked, analysed and transferred, these principles provide a necessary boundary against unfocused data collection, insufficiently justified reuse, inadequate security and administrative complacency. Their significance therefore<\/p>\n","protected":false},"author":3,"featured_media":34526,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[515],"tags":[],"class_list":["post-482","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-privacy-data-and-cybersecurity"],"acf":[],"_links":{"self":[{"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/posts\/482","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/comments?post=482"}],"version-history":[{"count":21,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/posts\/482\/revisions"}],"predecessor-version":[{"id":34573,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/posts\/482\/revisions\/34573"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/media\/34526"}],"wp:attachment":[{"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/media?parent=482"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/categories?post=482"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/vanleeuwenlawfirm.eu\/en\/wp-json\/wp\/v2\/tags?post=482"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}