Welcome!

News Feed Item

Order Enjoining IRS from Enforcing Tax-return Preparer Regulations Affirmed

DALLAS, Feb. 13, 2014 /PRNewswire/ -- On February 11, 2014, the U.S. Court of Appeals for the District of Columbia Circuit (the "Court of Appeals"), in the case of Loving v. Internal Revenue Service, affirmed an order of the District Court enjoining the Internal Revenue Service (IRS) from enforcing regulations related to paid tax-return preparers. The subject regulations were issued by the IRS in 2011 and purported to require paid tax-return preparers to pass a qualifying exam, pay annual registration fees, and meet certain professional continuing education requirements.

The IRS argued it had authority to regulate tax-return preparers based on 31 U.S.C. section 330, which authorizes the IRS to "regulate the practice of representatives of persons before the Department of Treasury." The Court of Appeals disagreed, describing the IRS's interpretation as "expansive, atextual, and ahistorical." Based on its own textual and historical analysis of the provision, the Court of Appeals found that tax-return preparers are not in the practice of representing taxpayers before the Department of Treasury. For this reason, the Court of Appeals agreed with the District Court that the statute does not authorize the IRS to regulate tax-return preparers. Accordingly, it affirmed the District Court decision.

About Ryan
Ryan is an award-winning global tax services firm, with the largest indirect and property tax practices in North America and the seventh largest corporate tax practice in the United States. Headquartered in Dallas, Texas, the Firm provides a comprehensive range of state, local, federal, and international tax advisory and consulting services on a multi-jurisdictional basis, including audit defense, tax recovery, credits and incentives, tax process improvement and automation, tax appeals, tax compliance, and strategic planning. Ryan is a three-time recipient of the International Service Excellence Award from the Customer Service Institute of America (CSIA) for its commitment to world-class client service. Empowered by the dynamic myRyan work environment, which is widely recognized as the most innovative in the tax services industry, Ryan's multi-disciplinary team of more than 1,600 professionals and associates serves over 9,000 clients in 40 countries, including many of the world's most prominent Global 5000 companies. More information about Ryan can be found at www.ryan.com.

Ryan is an award-winning global tax services firm, with the largest indirect and property tax practices in North America and the seventh largest corporate tax practice in the United States.

TECHNICAL INFORMATION CONTACT:
Jeremiah T. Lynch
Principal
Ryan
212.871.3901
[email protected]

Available Topic Expert(s): For information on the listed expert(s), click appropriate link.
Jerry Lynch
https://profnet.prnewswire.com/Subscriber/ExpertProfile.aspx?ei=113520

Multimedia Assets associated with this release:
Photo: (http://photos.prnewswire.com/prnh/20110726/DA41187LOGO)

SOURCE Ryan, LLC

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.