How internal audit can use Anywhere to verify contract compliance company-wide

Foundations of contract compliance and the role of internal audit

This report examines how internal audit can use an AI-enabled platform such as Anywhere.legal—combining centralized repositories, AI case scoping, document analysis, transparent pricing, and multi-jurisdiction collaboration—to verify contract compliance company-wide in a systematic, efficient, and defensible manner. This approach integrates established practices in contract compliance auditing with emerging technologies to elevate internal audit's strategic role.

Defining contract compliance in a modern enterprise context

In contemporary corporate practice, contract compliance refers to the extent to which parties adhere to financial, operational, legal, and tax terms throughout the contract lifecycle. This encompasses straightforward obligations such as paying the agreed price on the agreed schedule, as well as complex intercompany agreements, transfer pricing guidelines, and regional privacy requirements like GDPR.

• Observing data protection clauses and regional privacy requirements.

• Meeting service-level agreements and operational benchmarks.

• Adhering to complex intercompany agreements and transfer pricing guidelines.

• Complying with applicable laws and regulatory standards referenced in the text.

From an organizational perspective, contract compliance is not merely a bilateral matter between a single business unit and its supplier; rather, it is a systemic property of the enterprise’s processes, systems, and controls. This systemic nature requires a structured approach to oversight that spans multiple departments and jurisdictions.

In practice, contract compliance is often assessed through targeted or portfolio-wide contract audits. These audits can be triggered by events such as disputes, regulatory changes, or major vendor renegotiations, or they can be conducted on a periodic basis—for example, annually for high-value agreements and less frequently for lower-risk contracts.

A typical contract audit involves collecting all relevant documentation, mapping obligations and financial terms, comparing them against actual performance and billing records, and identifying any deviations. These deviations may give rise to cost leakage, compliance exposure, or relationship deterioration.

The notion of contract compliance also intersects with broader regulatory and standards frameworks. International standards, such as various ISO frameworks, provide structured guidance on how to define processes and controls, and many organizations use these as reference points for designing their contract management and compliance systems.

Sector-specific regulations—ranging from anti-bribery and corruption laws to local procurement rules—further shape compliance, especially for entities operating across borders where regulatory expectations differ significantly between jurisdictions. Consequently, contract compliance in an international environment is inseparable from the enterprise’s approach to multi-jurisdiction legal interpretation, tax coordination, and operational governance.

Internal audit’s mandate in contract compliance

Internal audit functions have a dual mandate in relation to contract compliance. On the one hand, they must provide independent assurance to boards and senior management that the organization’s controls over contract processes are designed and operating effectively. On the other hand, they act as catalysts for improvement, identifying weaknesses in contract management workflows and recommending control enhancements.

Traditional internal audit reviews of contract management typically involve assessing policies, procedures, and internal controls that govern vendor selection, contract approval, monitoring, and performance evaluation. These reviews often reveal that while basic contractual processes exist, there is no formalized framework for ongoing contract monitoring, leading to decentralized, inconsistent approaches to evaluating vendor compliance.

Internal audit’s assurance role is further complicated by the distinction between continuous auditing and continuous monitoring. Continuous auditing refers to automated, near real-time evaluation of controls and transactions, typically owned by internal audit and focused on independent assurance.

Continuous monitoring, by contrast, is a management-driven activity that uses dashboards and alerts to detect and respond to operational issues early. Effective governance requires that these two functions be harmonized, with internal audit providing assurance over the effectiveness of management’s monitoring and the underlying control environment.

Examples from public sector audit practice

Public sector internal audit reports provide instructive examples of how contract compliance issues manifest in practice. In one municipal internal audit of vendor and contract management processes, auditors assessed whether monitoring functions had been established to periodically evaluate vendor performance and compliance with agreed contractual terms.

The review found that while certain contract oversight activities occurred, the procurement manual did not delineate an ongoing process or formalized framework to establish minimum standards for contract monitoring. As a result, contract monitoring was decentralized, with different departments applying their own informal practices, leading to gaps in identifying non-compliant vendors.

Recommendations in such reports often include developing standardized contract monitoring processes and memorializing them in policy manuals. This involves defining key elements such as standard evaluation forms, periodic reporting timelines, and formal review meetings between procurement and requesting departments.

These recommendations align closely with best practices in contract management literature, which emphasizes clearly defined roles, standardized templates, KPIs, and dashboards for tracking obligations. Internal audit’s role is to highlight the absence or weakness of these elements, quantify the associated risks, and encourage management to implement structured, repeatable processes.

Another internal audit report reviewed contract compliance processes and observed issues around contractual oversight and monitoring. The auditors assessed whether existing procedures were sufficient to mitigate financial risks associated with vendor contracts and whether documentation retention practices supported effective oversight.

Observations were categorized by risk level, with high-risk findings requiring mitigation within a defined timeframe. These reports illustrate the growing expectation that internal audit not only identifies isolated instances of non-compliance but also evaluates systemic weaknesses in contract oversight frameworks.

These public sector examples underscore a broader trend: internal audit is being asked to move beyond transactional checking of individual contracts toward a more holistic assessment of contract compliance capabilities across the organization. Achieving this shift at scale, however, requires more robust tools and data structures than those available in traditional paper-based or fragmented digital environments.

Fragmentation of contract repositories and processes

One of the most persistent obstacles to company-wide contract compliance is the fragmentation of contract information across different systems, departments, and jurisdictions. In many organizations, contracts and their amendments are scattered across email inboxes, shared drives, legacy systems, and local hard drives, with no centralized, governed repository.

This fragmentation makes it difficult not only for internal audit to conduct comprehensive contract reviews, but also for management to maintain ongoing visibility into contractual obligations and risks. When documentation is incomplete or difficult to locate, the very act of preparing for a contract audit can reveal serious gaps in basic contract governance.

Fragmentation extends beyond storage to process. In practice, it often turns out that different business units maintain their own contract templates, approval processes, and monitoring routines, resulting in inconsistent application of legal and compliance standards across the enterprise.

This state of affairs is particularly problematic when an internal audit is tasked with verifying contract compliance company-wide. Without a centralized ecosystem for managing contracts, internal audit is forced to rely on ad hoc data collection, manual sampling, and fragmented evidence, which limits both the depth and reliability of its conclusions.

Cross-border operations and regulatory divergence

In an international environment, contract compliance is complicated not only by internal fragmentation but also by external regulatory diversity. Organizations operating across multiple countries must navigate different legal systems, tax regimes, procurement rules, and sector-specific regulations, all of which influence how contracts should be drafted, executed, and monitored.

This regulatory divergence introduces complexity at several stages of the contract lifecycle, from drafting and negotiation to execution and monitoring. Because these rules vary significantly by country, verifying contract compliance company-wide requires internal audit to understand these jurisdictional nuances and to design audit procedures that are sensitive to local law.

Scale, volume, and heterogeneity of contract portfolios

Even in purely domestic organizations, the sheer volume and heterogeneity of contracts pose significant challenges for internal audit. Large enterprises may manage thousands or tens of thousands of active contracts across procurement, sales, partnerships, employment, and other domains, each with its own combination of obligations, pricing structures, and risk factors.

For internal audit to verify compliance across such a portfolio using purely manual methods is prohibitively time-consuming and resource-intensive. Consequently, auditors often resort to sampling approaches, focusing on high-value or high-risk contracts, which leaves a substantial portion of the portfolio unexamined.

Moreover, different contract types present different compliance risks. Vendor agreements may be prone to billing inaccuracies and SLA underperformance, while distribution agreements may pose competition law risks, and cloud service contracts carry data protection and security obligations.

This diversity underscores the need for flexible yet structured tools that can recognize and classify different contract types, identify relevant clauses, and support tailored audit tests for each category. A portfolio-wide compliance audit thus requires careful scope definition, risk assessment, and prioritization, all of which are difficult to execute consistently without strong data and workflow support.

Human error and inconsistency in manual reviews

Manual contract review is inherently subject to human error, inconsistency, and fatigue, especially when auditors must read large volumes of dense legal text under tight deadlines. Research and industry benchmarks indicate that human reviewers can miss relevant clauses, overlook deviations from standard positions, or misinterpret complex language, leading to residual compliance risks.

Furthermore, different auditors may apply different thresholds or interpretations when assessing whether a contract complies with internal standards or external regulations. Without standardized playbooks and templates, review outcomes can vary significantly depending on the individual reviewer’s experience and workload.

This variability undermines the ability of internal audit to provide consistent assurance across the organization and complicates efforts to benchmark contract compliance over time. Legal tech tools that apply the same playbook logic across contracts can help reduce this variability, but their effective deployment requires deliberate integration into audit workflows.

Core capabilities of modern contract compliance and legal tech tools

Modern contract compliance monitoring tools and legal technology platforms are designed to address many of the challenges outlined above by centralizing contract data, automating routine tasks, and applying analytics to identify risks and deviations. These specialized digital platforms help organizations track, verify, and report adherence to contract terms, regulatory standards, and internal policies.

Key features of effective contract compliance platforms include centralization of contract documentation, intelligent automation of obligation extraction, and advanced AI integration for clause analysis. For in-house legal teams and internal audit functions, the most relevant technologies are those that reduce time spent on repetitive, high-volume tasks such as contract review and obligation tracking.

When deployed effectively, these tools allow lawyers and auditors to focus on higher-value analytical work, such as interpreting complex issues, designing controls, and advising on strategic decisions. This shift improves operational efficiency while establishing a baseline for company-wide compliance visibility.

The conceptual architecture of Anywhere.legal

Within this landscape, Anywhere.legal operates as a centralized ecosystem and secure digital environment designed for addressing and resolving complex, multi-jurisdictional cross-border legal and tax situations. It is a hybrid, strategic workflow solution that combines secure AI tools, transparent cost scoping, and a robust international network of local human professionals.

The platform's secure case environment acts as a centralized repository where clients and internal audit teams can open cases, upload contracts, and access structured outputs. This centralization addresses the fundamental problem of fragmented contract storage by bringing executed agreements, amendments, and supporting records into a governed repository.

The AI case scoping tool functions as an intelligent intake and triage mechanism that helps define the audit brief, uncover relevant questions, and propose an initial scope. The first step is not the final legal answer, but a structured overview of the documents and jurisdictions involved.

The AI document processor is responsible for reading, evaluating, summarizing, and preparing initial drafts of deliverables such as audit working papers and exception reports. Using natural language processing, it identifies clauses, detects deviations from standard language, and extracts key data points to compare them against organizational standards.

The AI pricing engine contributes to transparency in estimating project scope, complexity, and costs, enabling internal audit to predict resource requirements and timelines for different audit scenarios. This data-driven estimation facilitates better planning and budget approvals with senior leadership.

Finally, the collaborative space enables coordinated work among internal audit, legal, procurement, finance, and external experts. By providing shared dashboards, messaging channels, and task management, the platform resolves coordination challenges across multiple parties, documents, and jurisdictions.

Distinguishing Anywhere.legal from traditional CLM and audit tools

It is important to differentiate platforms like Anywhere.legal from conventional contract lifecycle management software and traditional audit tools. Contract management software typically focuses on the entire lifecycle, from drafting to renewal, emphasizing process efficiency and document generation, whereas compliance tools focus on risk identification.

Anywhere.legal’s model is explicitly aligned with cross-border legal and tax problem solving and audit-friendly workflows rather than transactional contract generation. The platform acts as a case-centric ecosystem where contract compliance is examined in the context of broader legal and tax questions, utilizing secure AI to draft initial briefs.

From an internal audit perspective, the value lies in standardized, replicable audit workflows that can be executed at scale with a consistent methodology. When an internal audit department can rely on an integrated platform to coordinate multi-jurisdiction experts, it is better positioned to provide credible, timely assurance.

Planning and scoping a company-wide contract compliance audit

For internal audit to use Anywhere.legal effectively, the first phase is planning and scoping the contract compliance audit in a manner that reflects risk, materiality, and practical constraints. Before analyzing documents, auditors need to define clear audit objectives, such as verifying performance against SLAs and identifying cost leakage.

Using the AI case scoping tool, internal audit can ingest metadata about the organization’s contract portfolio, such as contract type, value, jurisdiction, and risk ratings. The tool can then cluster contracts into categories corresponding to different audit tracks, allowing internal audit to define which segments of the portfolio warrant full review.

The platform assists in designing sampling strategies that balance coverage and depth, ensuring high-risk agreements are prioritized. The AI pricing engine can estimate the resource implications of these decisions, helping audit leadership align scope with available capacity and timelines.

At the scoping stage, Anywhere.legal can also be used to draft the audit program, using templates and AI-generated suggestions informed by prior audits. The program can be tailored to the organization’s specific risk profile, with jurisdiction-specific nuances highlighted by local experts engaged through the collaborative space.

Executing detailed contract reviews with AI support

Once the scope and program are defined, internal audit moves to execution, where AI document processing capabilities become central. In traditional audits, the heart of the process lies in conducting detailed, manual contract reviews to verify names, dates, fees, payment schedules, and obligations.

The AI document processor in Anywhere.legal begins with document ingestion, accepting multiple formats such as PDFs, Word documents, or scanned images. Using natural language processing engines, it analyzes the document structure, identifies clauses, and classifies them according to a taxonomy aligned with the organization’s contract playbook.

Once clauses are identified, the processor evaluates them against standards outlined by the organization or relevant regulatory frameworks. It flags contracts where standard data protection language is missing or where governing law clauses diverge from preferred positions.

AI also facilitates cross-checking contractual financial terms with actual billing records by integrating with ERP data to compare prices, discounts, and rebates. This capability aligns with best practices in modern contract audits, which emphasize verifying financial accuracy as a key source of hidden costs and savings opportunities.

Human reviewers remain essential in this process because secure AI tools serve as accelerated supporting tools for workflows, data parsing, and drafting. They do not independently deliver final legal bindings or tax conclusions without rigorous, qualified expert supervision.

Portfolio analytics, continuous auditing, and monitoring

Beyond individual contract reviews, Anywhere.legal helps internal audit move toward continuous, portfolio-wide contract compliance assurance. Continuous auditing uses automated tools and advanced analytics to evaluate controls and transactions as activity occurs, rather than relying solely on point-in-time testing.

Continuous monitoring, by contrast, is typically owned by management and focuses on real-time oversight of operational processes, controls, and transactions. Effective contract compliance oversight requires harmonizing these two functions, with internal audit providing independent assurance over management's monitoring controls.

Internal audit can use the platform’s analytics to identify trends and systemic issues across the contract portfolio. For example, analytics might reveal that certain business units consistently omit required clauses in their contracts or that specific vendors frequently deviate from agreed pricing.

These insights allow internal audit to shift focus from isolated exceptions to structural weaknesses, such as inadequate training, poor template governance, or insufficient oversight. In turn, audit recommendations can target these upstream causes, promoting process improvements that reduce future non-compliance across the enterprise.

Practical use case: global vendor contract compliance audit

Consider a global vendor contract compliance audit in a multinational company with hundreds of active contracts across procurement categories and countries. Internal audit is tasked with verifying whether vendors are complying with contractual obligations and whether the organization is paying what it should, subject to local law.

During case creation and data ingestion, internal audit opens a case, uploads a representative dataset of contracts, and connects the platform to procurement and finance systems. The AI case scoping tool then analyzes the portfolio, categorizing contracts by value, risk indicators, and jurisdictions, proposing an audit scope focusing on high-risk categories.

Next, the AI document processor scans the selected contracts to identify relevant clauses and flag deviations from standard templates. It compares contracted rates with invoices to highlight discrepancies, potential overpayments, and cost-saving opportunities.

Throughout the process, local legal and tax experts engaged through the platform advise on jurisdiction-specific questions, such as transfer pricing compliance or required regional language. This human-in-the-loop validation ensures that the final audit findings are legally defensible and context-aware before they are reported.

Practical use case: public sector procurement and transparency

Another realistic use case involves a public sector entity conducting an internal audit of procurement contracts to ensure transparency, fairness, and legal compliance. In such environments, procurement processes are subject to heightened scrutiny, and contracts must comply with strict rules around open competition.

Internal audit uses Anywhere.legal to gather procurement contracts, tender documentation, and evaluation records into a secure, centralized repository. The AI case scoping tool helps distinguish routine vendors from sub-recipients by analyzing the nature of services provided, reflecting key distinctions in public sector guidance.

The document processor examines contracts for compliance with required legal clauses, such as provisions on transparency, conflict of interest, and reporting obligations. It compares these findings against standard templates defined by the entity’s legal department to flag omissions.

Audit analytics identify patterns, such as deviations from mandated tender procedures or inconsistent classification of recipients, which may indicate systemic issues. Internal audit then collaborates with procurement and legal teams through the platform to interpret findings, considering local laws and policy frameworks.

Data governance and security in contract audit platforms

When internal audit adopts a platform like Anywhere.legal, data governance and security are essential considerations. Contracts contain sensitive business information, including pricing, trade secrets, personal data, and strategic relationships, and any system handling them must meet rigorous security standards.

Internal audit must verify that the platform’s security and governance features align with organizational policies. This includes confirming that only authorized users can access specific cases, segregation of duties is preserved, and system logs capture all relevant activities for later review.

Data retention and archiving policies also need to be aligned because internal audit working papers have specific retention requirements. The platform’s ability to export, archive, and reproduce analysis outputs is important for both internal and external reviews.

Data quality and standardization as preconditions for effective analytics

AI-driven contract analysis is highly dependent on the quality and consistency of the underlying data. If contracts are poorly scanned, incomplete, or contain ambiguous language, AI models may misidentify clauses, which can lead to incomplete audit findings.

Standardization efforts include developing comprehensive contract playbooks that define desired clause language, acceptable variations, and risk positions. These playbooks provide the benchmark against which AI tools evaluate contracts, flagging deviations that require human review.

Data quality initiatives may also involve digitizing legacy contracts, improving scanning and optical character recognition processes, and cleaning metadata. A phased approach is often appropriate, starting with high-risk portfolios and gradually extending standardization efforts across the enterprise.

Model risk management and explainability of AI decisions

As internal audit incorporates AI into contract review processes, model risk management becomes a relevant concern. AI systems can exhibit biases or errors if training data is unrepresentative, meaning internal audit must understand how AI models are validated and monitored over time.

Explainability is a key requirement, meaning that AI recommendations should be understandable and the system’s reasoning should be observable. When a clause is flagged as non-standard, the platform must indicate which aspects of the clause triggered the flag, enabling auditors to evaluate findings critically.

Model governance is particularly important in cross-border settings, where AI models trained on contracts from one jurisdiction may not perform well on another. Engaging local experts to validate AI outputs in their jurisdictions can mitigate this risk.

Integration with existing LegalOps and audit methodologies

Successful adoption of Anywhere.legal requires integration with existing LegalOps and internal audit methodologies. Legal operations teams often already use CLM systems and compliance tracking platforms, and internal audit must coordinate with these teams to ensure data consistency.

Audit methodologies must be adapted to incorporate AI-driven steps, specifying which procedures are performed by AI and how outputs are validated. Audit training programs must be updated to equip staff with skills in interpreting AI analyses, configuring analytics, and working within the platform’s workflows.

Careful change management can help avoid resistance or misuse, helping auditors understand that AI is designed to remove friction around repetitive tasks rather than replace human judgment. Internal audit can pilot the platform on selected audits before expanding its use.

Comparing traditional and AI-enabled contract compliance audits

Efficiency, coverage, and quality of assurance

Organizations that implement AI-enabled contract compliance monitoring tools commonly report efficiency gains, such as significant reductions in contract review time and manual compliance effort. These improvements translate into cost savings through reduced labor requirements and faster cycle times, allowing auditors to focus on high-value activities.

With AI tools capable of performing first-pass reviews on large volumes of contracts, internal audit can expand its assurance scope beyond traditional samples. This expanded coverage enhances the credibility of internal audit’s conclusions and reduces the risk that significant non-compliance issues remain undiscovered across the enterprise.

Quality of assurance improves when AI contributes to standardization and accuracy by applying the same playbook logic across contracts. While AI consistently flags deviations, human judgment remains central in interpreting complex issues and making final determinations, preserving the professional integrity of the audit.

Metrics for evaluating internal audit’s use of Anywhere.legal

To assess the effectiveness of Anywhere.legal in supporting contract compliance audits, internal audit can track a variety of metrics across both quantitative and qualitative dimensions. These metrics help demonstrate the value of technology adoption to the audit committee.

• Review Efficiency: Measuring average hours spent per contract review compared to manual audits.

• Portfolio Coverage: Tracking the percentage of total active contracts audited within the scope.

• Discrepancy Detection: Calculating the rate of billing, SLA, or tax deviations uncovered by AI.

• Expert Integration: Monitoring the time required to coordinate and receive local legal feedback.

• Findings Actionability: Measuring the percentage of audit findings leading to successful remediation.

Key metrics include review efficiency, portfolio coverage, discrepancy detection, and expert integration timelines. Consistent measurement of these targets help internal audit refine its playbooks, template standards, and AI model configurations to ensure ongoing alignment.

Treating AI deployment as an iterative process ensures that the platform remains aligned with evolving organizational risks, regulatory updates, and audit standards. This continuous feedback loop drives incremental quality gains.

Future directions and integration with broader legal and tax risk management

Looking ahead, internal audit’s use of platforms like Anywhere.legal in contract compliance audits can be integrated into broader legal and tax risk management frameworks. Contracts serve as the primary vehicle through which legal obligations and tax arrangements are implemented across different countries.

AI analytics can identify contracts with unusual indemnity clauses, aggressive tax allocation provisions, or vague data processing terms. By systematically analyzing these documents for risk indicators, internal audit provides valuable input to legal and tax departments to prioritize proactive risk mitigation.

Another future direction involves integration with enterprise risk management systems to map contract compliance issues directly to risk categories. This mapping informs risk owners and senior leadership about where contract-related risks are concentrated and how they are evolving over time.

Finally, continuous advancements in AI, including large language models and generative tools, will enhance the platform's capabilities further. As these technologies mature, internal audit must maintain a balanced perspective, embracing innovations while critically assessing their reliability under rigorous human supervision.

Conclusion

Contract compliance is a critical dimension of organizational governance, particularly for entities with extensive, cross-border contract portfolios. Internal audit is expected to provide robust assurance that contracts are executed as intended, obligations are met, and processes are capable of sustaining compliance.

Traditional audit methods are increasingly inadequate in the face of data fragmentation, international complexity, and human limitations. Against this backdrop, AI-enabled platforms like Anywhere.legal offer a practical, process-driven pathway for internal audit to verify contract compliance company-wide with high accuracy.

By centralizing documents, Anywhere.legal addresses the foundational challenge of scattered data while its AI tools automate clause identification and financial cross-checking. This combination of centralized data, secure AI pre-processing, and local human expertise allows internal audit to deliver company-wide assurance.

Neglecting contract compliance carries significant operational and financial risks, including cost leakage, regulatory sanctions, and strategic misalignment. A platform like Anywhere.legal provides a structured environment in which expert judgment can be applied more systematically, faster, and more safely.

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FAQ

• How can internal audit start integrating AI into contract compliance audits without disrupting current processes?

Internal audit can begin by piloting AI-enabled contract review on a limited subset of contracts, such as high-volume vendor agreements, while keeping existing manual processes in place as a fallback. During the pilot, auditors can compare AI findings with manual reviews to assess accuracy and understand where AI adds the most value. Once confidence is established, audit programs can be formally updated to incorporate AI steps and train staff on interpreting AI outputs. This phased integration allows internal audit to adopt technology incrementally, minimizing disruption while gradually enhancing efficiency and coverage.

• How does Anywhere.legal differ from the CLM system our legal department already uses?

While CLM systems focus on managing the contract lifecycle from drafting to renewal, Anywhere.legal is oriented toward case-centric analysis of contracts in the context of broader legal and tax questions. CLM may store contracts and track dates, but Anywhere.legal adds AI case scoping, document pre-processing tailored to audit needs, and collaborative features for engaging external experts across jurisdictions. In practice, CLM and Anywhere.legal can be integrated, with CLM serving as the source of contract data and Anywhere.legal providing advanced analysis and coordination capabilities.

• What governance safeguards should internal audit put in place when relying on AI for contract review?

Internal audit should implement governance measures such as documented policies on AI usage, model performance monitoring, explainability requirements, and role-based access controls to ensure audit quality. This includes defining which tasks AI performs, how its outputs are validated, and how evidence is retained in working papers. Secure AI tools must never be treated as an independent source of final legal bindings or tax conclusions, as all final assessments must be validated by qualified experts.

• How does Anywhere.legal help address cross-border differences in contract law and regulation?

Anywhere.legal supports cross-border work by enabling internal audit to involve vetted local experts within the same secure environment, ensuring that jurisdiction-specific issues are interpreted correctly. The AI case scoping tool can categorize contracts by jurisdiction and highlight areas where local law may significantly affect compliance, such as regional tax codes. Local experts can review AI-generated analyses, provide clarifications, and suggest tailored remediation steps. This combination of centralized data, AI pre-processing, and localized expertise allows internal audit to deliver company-wide assurance while respecting different legal systems.

• Can internal audit use Anywhere.legal for continuous contract compliance monitoring, or is it limited to periodic audits?

Internal audit can use Anywhere.legal both for periodic, project-based contract audits and for continuous auditing activities that run throughout the year. For continuous auditing, internal audit can configure analytics that automatically review new or updated contracts for required clauses, approval thresholds, and data consistency. Management can simultaneously use the platform’s dashboards for continuous monitoring of vendor performance and operational obligations. Over time, this combined approach can shift contract compliance from a reactive, periodic exercise to a proactive, ongoing assurance function.