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SCOTUS bars bankruptcy clawback from IRS

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The Supreme Court has denied the attempt of the bankruptcy trustee of a failed business to claw back assets fraudulently transferred to the Internal Revenue Service from the debtor-business’s assets to satisfy the personal federal tax liabilities of the shareholders. 

The shareholders had misappropriated $145,000 in company funds to satisfy their personal federal tax liabilities. The trustee filed an action pursuant to Section 544(b) of the Bankruptcy Code, which allows a trustee to “avoid any transfer of an interest of the debtor … that is voidable under applicable law by a creditor holding an unsecured claim.” 

In order to prevail under this section, a trustee must identify an actual creditor who could have voided the transaction under applicable law outside of bankruptcy proceedings. The government argued that the trustee’s claim failed because the trustee could not identify an “actual creditor” that could have voided the fraudulent transfer because sovereign immunity would have barred any such cause of action in Utah against the government. 

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The U.S. Supreme Court in Washington, D.C.

Stefani Reynolds/Bloomberg

The bankruptcy court, the district court and the Tenth Circuit disagreed. But the Supreme Court held otherwise, finding that the waiver of sovereign immunity in Section 106(a) of the Bankruptcy Code applies only to a Section 544(b) claim itself and not to state-law claims “nested within that federal claim.”

The opinion, issued in United States v. Miller, was an 8-1 decision, which likely surprised many who thought the government had an uphill battle to get a reversal, according to Alissa Castaneda, a partner at law firm Dorsey & Whitney. 

“Practically, the ruling means that the government — and only the government — can keep fraudulent transfers received between two to four years before bankruptcy,” she said. 

“The Supreme Court determined that if it adopted the trustee’s reading, that it would ‘transform that statute from a jurisdiction-creating provision into a liability-creating provisions,’ and affirmatively expand the trustee’s avoidance powers to a bankruptcy trustee, allowing the trustee to ‘avoid any transfer of an interest of the debtor … that is voidable under applicable law by a creditor holding an unsecured claim,” explained Castaneda.

“‘Applicable law’ can refer to any federal or state law other than the Bankruptcy Code, but trustees generally rely on state statutes, and most frequently, on ‘fraudulent transfer’ state statutes specifically,” she said. 

The Miller case involved a Chapter 7 trustee of a Utah company that filed for bankruptcy in 2017. The trustee filed a lawsuit against the United States, seeking to avoid $145,000 of tax payments made by the company in 2014 to the IRS to satisfy the personal income tax obligations of the company’s principals. 

Because the transfer of the $145,000 to the IRS took place more than two years prior to the bankruptcy petition date, the trustee could not void the transfer since that statute only had a two-year lookback period. Instead, the trustee invoked Utah’s fraudulent transfer statute, which had a four-year lookback period as the ‘applicable law,’ she noted. 

“The government did not dispute that the debtor received nothing of value in exchange for this transfer, but rather asserted that the trustee could not satisfy the ‘actual creditor’ requirement, because there was no actual creditor who could have voided the transaction because sovereign immunity would bar any Utah state cause of action against the government,” Castaneda added.

The bankruptcy court rejected the government’s arguments and entered judgment for the trustee. The district court adopted the bankruptcy court’s decision and the Tenth Circuit affirmed the decision. 

The Supreme Court reversed the Tenth Circuit and held that waivers of sovereign immunity are jurisdictional, and not substantive in nature, nor as broad as the trustee claimed. It did not alter the substantive waiver of immunity that would not exist under the applicable Utah state law.

On the surface it looks like a favorable result for the shareholders who engaged in the fraudulent transfer. Their debt to the IRS is satisfied, and depending on Utah’s statute of limitations and prosecutorial discretion, there may be no future legal action.

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Accounting

AI-Driven Automation and Continuous Accounting Frameworks

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The accounting profession is undergoing a fundamental structural transition as enterprise finance departments shift from periodic month-end closes toward automated continuous accounting models. By integrating specialized machine learning algorithms directly into enterprise resource planning (ERP) platforms, chief accounting officers are transforming financial reporting from a retrospective exercise into a real-time operational asset.

The Shift from Periodic Close to Continuous Financial Reporting
Traditional accounting workflows heavily relied on manual data reconciliation, spreadsheet calculations, and multi-week closing cycles at the end of each fiscal period. In contrast, continuous accounting frameworks utilize automated software agents to process, validate, and post transactional data in real time as business activities occur.

Automated bank reconciliation tools cross-reference incoming bank feeds, invoice records, and purchase orders automatically. By resolving transactional variances instantly throughout the month, corporate accounting teams eliminate the traditional workload spikes associated with quarterly and annual closes.

Machine Learning in Audit Trails and Anomaly Detection
Advanced natural language processing (NLP) and machine learning tools are redefining internal audit and financial control environments. Automated systems analyze 100% of general ledger entries, identifying anomalous transactions, duplicate payments, and unauthorized journal entries in real time.

Rather than relying on random statistical sampling, corporate internal auditors can focus their attention on high-risk flags automatically surfaced by algorithmic monitoring platforms. This continuous risk assessment strengthens internal controls over financial reporting (ICFR) and significantly reduces fraud risk.

Evolving Roles for Accounting Professionals
As routine data entry and manual reconciliation tasks become fully automated, the skill set required for accounting professionals is shifting toward data analysis, system design, and strategic business advisory.
– Systems Governance: Accountants are increasingly responsible for monitoring algorithmic accuracy and managing data integration pipelines.
– Business Partnership: Finance professionals leverage real-time financial dashboards to advise operational leaders on margin management and working capital allocation.
– Regulatory Compliance Management: Accounting teams utilize automated platforms to ensure compliance with dynamic tax codes and international accounting standards.

Core Implementation Recommendations
1. Deploy Automated Reconciliation Tools: Integrate continuous transaction processing modules into existing enterprise ERP architectures.
2. Establish Algorithmic Governance Controls: Implement strict internal testing protocols to ensure automated accounting rules comply with GAAP/IFRS standards.
3. Reskill Accounting Teams: Invest in training finance staff on data analytics, workflow automation, and predictive financial modeling.

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Accounting

Global ESG Reporting Standards and Double Materiality Compliance

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Corporate accounting departments face expanding reporting expectations as international sustainability disclosure standards achieve regulatory enforcement across major global jurisdictions. Chief Accounting Officers (CAOs) and corporate controllers are establishing rigorous internal accounting controls to treat Environmental, Social, and Governance (ESG) metrics with the same data precision, auditability, and governance as traditional financial statements.

Regulatory Harmonization Under Global Sustainability Frameworks
The implementation of standardized sustainability reporting frameworks—notably rules established by international sustainability accounting boards—has created unified expectations for public and large private enterprises. Corporations must report standardized metrics covering greenhouse gas emissions (Scope 1, 2, and material Scope 3), energy utilization, workforce demographics, and supply chain governance.

In Europe and other participating international jurisdictions, double materiality principles are mandatory. Under double materiality, organizations must report both how external sustainability risks impact corporate financial performance, and how internal corporate operations affect surrounding environmental and social structures.

Integrating Sustainability Metrics into Core ERP Systems
To provide auditable non-financial data, enterprise organizations are integrating specialized carbon accounting and ESG management platforms directly into core ERP systems. Automated data collectors capture energy utility invoices, logistics fuel consumption metrics, and vendor compliance records in real time.

Establishing automated, traceable data pipelines ensures that non-financial reporting is supported by clear audit trails. This structured approach allows external financial auditors to provide reasonable assurance on sustainability disclosures during annual corporate reporting cycles.

Financial Impacts and Capital Market Disclosure
Accurate ESG reporting directly influences corporate cost of capital and institutional credit ratings. Commercial lenders and institutional asset managers systematically incorporate sustainability metrics into risk pricing models. Companies that demonstrate transparent, verifiable progress in operational energy efficiency and climate risk mitigation benefit from expanded access to green bond markets and lower debt pricing.

Action Steps for Accounting Leadership
1. Implement Double Materiality Frameworks: Conduct comprehensive assessments to identify material financial and operational sustainability metrics.
2. Build Auditable Non-Financial Data Pipelines: Automate ESG data collection within core accounting software to ensure data integrity.
3. Align Sustainability with Annual Financial Filings: Prepare non-financial disclosures concurrently with financial statements to satisfy regulatory audit expectations.

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Accounting

Modernizing Internal Controls: Machine Learning and Continuous Monitoring in Auditing

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Internal audit departments and corporate risk managers are modernizing internal control frameworks by shifting from periodic sampling techniques to continuous monitoring and machine learning analytics. As operational data volumes increase across enterprise organizations, automated control testing ensures financial integrity, prevents corporate fraud, and streamlines annual audit engagements.

The Limitation of Periodic Audit Sampling
Historically, internal and external auditors evaluated internal controls by reviewing random samples of financial transactions—often analyzing less than five percent of total ledger entries. In complex enterprise environments, periodic sampling methods carry inherent risks of overlooking localized financial misstatements, unauthorized disbursements, or operational control breakdowns.

In 2026, progressive internal audit functions are utilizing automated continuous monitoring platforms that evaluate one hundred percent of financial transactions in real time. Continuous control auditing systems continuously monitor general ledger entries, procurement approvals, and expense reimbursements across all operating subsidiaries.

AI-Powered Fraud Detection and Anomaly Identification
Machine learning models trained on historical corporate financial data excel at identifying subtle transactional anomalies that indicate potential fraud or operational error. Automated systems instantly flag duplicate invoice payments, unapproved vendor creation, unusual journal entry timing, and unauthorized override of authority thresholds.

When an anomaly is detected, the automated auditing platform generates an instant risk alert, allowing internal audit teams to investigate root causes immediately. Early detection prevents minor operational errors from escalating into material weaknesses in financial reporting.

Streamlining External Audit Preparation
Continuous internal control monitoring delivers significant benefits during annual external financial audits. External audit firms can review continuous audit logs and automated control testing documentation, reducing the time required for manual field testing.

This integrated approach lowers overall audit compliance fees, reduces administrative burdens on corporate accounting staff, and provides senior management and audit committees with real-time visibility into the organization’s overall risk profile.

Core Implementation Guidelines
1. Transition to 100% Data Testing: Replace legacy sampling methods with automated continuous audit monitoring systems.
2. Deploy Anomaly Detection Algorithms: Implement machine learning models to identify unauthorized transactions and operational control overrides.
3. Align Internal and External Audit Workflows: Coordinate continuous control testing protocols with external auditors to optimize annual compliance cycles.

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