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BMC Announces Resolution of Patent Infringement Disputes Against ServiceNow

BMC announced that intellectual property (IP) and patent infringement disputes with Santa Clara, California-based ServiceNow, Inc. have been resolved to the mutual satisfaction of both parties.

While specific terms of the settlement are confidential, ServiceNow announced on April 13, that it entered into a covenant not to sue for patent infringement with BMC for a term and took aggregate charges of $270 million for litigation settlement expenses related to its litigation associated with BMC and Hewlett Packard Enterprise.

Prior to the resolution, BMC had received a favorable Markman ruling in BMC Software, Inc. v. ServiceNow, Inc., No. 2:14-cv-903, in the U.S. District Court for the Eastern District of Texas in Marshall. In the ruling, the court issued determinations for more than 50 terms and phrases from all seven BMC patents in the lawsuit.

“I’m very pleased that all three of our pending patent infringement disputes against ServiceNow have been resolved to our satisfaction,” said Patrick Tagtow, General Counsel of BMC. “In addition to this trial in the U.S., BMC had filed similar additional suits against ServiceNow in the U.S. and Germany. We have a long, rich history of innovation. With our best-in-class digital IT solutions portfolio, today we are enabling our customers to transform their businesses into digital enterprises. We will continue to invest in these market-leading solutions and will vigorously defend those investments where required for the benefit of our customers and shareholders.”

ServiceNow had been accused by BMC of infringing on eleven of the patents in BMC’s portfolio of more than 476 granted and pending patents — specifically, U.S. Patent Nos. 5,978,594; 6,816,898; 6,895,586; 7,062,683; 7,617,073; 8,646,093; 8,674,992; 7,877,783; 8,554,750; and 7,966,398 as well as EP 1444807.

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BMC Announces Resolution of Patent Infringement Disputes Against ServiceNow

BMC announced that intellectual property (IP) and patent infringement disputes with Santa Clara, California-based ServiceNow, Inc. have been resolved to the mutual satisfaction of both parties.

While specific terms of the settlement are confidential, ServiceNow announced on April 13, that it entered into a covenant not to sue for patent infringement with BMC for a term and took aggregate charges of $270 million for litigation settlement expenses related to its litigation associated with BMC and Hewlett Packard Enterprise.

Prior to the resolution, BMC had received a favorable Markman ruling in BMC Software, Inc. v. ServiceNow, Inc., No. 2:14-cv-903, in the U.S. District Court for the Eastern District of Texas in Marshall. In the ruling, the court issued determinations for more than 50 terms and phrases from all seven BMC patents in the lawsuit.

“I’m very pleased that all three of our pending patent infringement disputes against ServiceNow have been resolved to our satisfaction,” said Patrick Tagtow, General Counsel of BMC. “In addition to this trial in the U.S., BMC had filed similar additional suits against ServiceNow in the U.S. and Germany. We have a long, rich history of innovation. With our best-in-class digital IT solutions portfolio, today we are enabling our customers to transform their businesses into digital enterprises. We will continue to invest in these market-leading solutions and will vigorously defend those investments where required for the benefit of our customers and shareholders.”

ServiceNow had been accused by BMC of infringing on eleven of the patents in BMC’s portfolio of more than 476 granted and pending patents — specifically, U.S. Patent Nos. 5,978,594; 6,816,898; 6,895,586; 7,062,683; 7,617,073; 8,646,093; 8,674,992; 7,877,783; 8,554,750; and 7,966,398 as well as EP 1444807.

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FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

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