Supreme Court Upholds $168 Million Trade-Secret Award Against Tata in DXC Dispute

DXC’s predecessor, Computer Sciences Corp. (CSC), licensed its life-insurance software to insurer Transamerica in the 1990s—forming the background to the allegations that Tata misused knowledge tied to that licensed system.
In the 2019 case, the dispute proceeded to a 2023 jury finding described as an “advisory verdict” (nonbinding to the judge), concluding Tata “willfully” stole the trade secrets and supporting the path to the $210 million figure later reduced.
Tata’s defense went beyond attacking the damages framework: it argued the information was not actually secret and that it accessed the software legally.
DXC urged the Supreme Court not to intervene, telling the justices: “nothing about the court of appeals' fact-bound application of settled law warrants further review,” emphasizing the lower court’s case-specific fact findings.
The U.S. Supreme Court has refused to hear an appeal by Tata Consultancy Services, leaving a $168 million trade-secret judgment against the Indian IT giant firmly in place, according to Reuters. The ruling ends a seven-year legal battle with DXC Technology over stolen life-insurance software.
The award breaks down to $56 million in compensatory damages and $112 million in punitive damages. DXC had accused TCS of hiring roughly 2,200 former Transamerica employees to copy proprietary software — effectively buying a shortcut to market, Reuters reported.
In January 2018, Transamerica signed a $2 billion, 10-year outsourcing contract with TCS. As part of that deal, TCS brought on about 2,200 Transamerica workers who knew the ins and outs of legacy insurance software called Vantage-One and CyberLife. Those systems had been built and licensed by Computer Sciences Corp. — the company that later became DXC Technology — back in the 1990s.
DXC sued TCS in federal court in Texas in April 2019. It argued that TCS used those employees' knowledge to build a competing insurance platform, rather than starting from scratch. TCS fired back, saying the information was not truly secret and that it had accessed the software legally, according to Kansas City Star.
In January 2023, a federal jury returned what is called an "advisory verdict" — a nonbinding recommendation to the judge. The jury found TCS had "willfully and maliciously" stolen the trade secrets. It recommended $70 million in compensatory damages and $140 million in punitive damages, for a total of $210 million.
U.S. District Judge Lance Africk then trimmed the award. He set compensatory damages at $56 million, based on the "unjust enrichment" standard — meaning the value TCS gained, not DXC's actual losses. Punitive damages were set at $112 million, keeping a 2-to-1 ratio. The Fifth Circuit Court of Appeals upheld that figure in November 2024, according to Forth News.
TCS took its fight to the Supreme Court in March 2025. Its core argument: unjust enrichment damages should require proof of real financial losses. Without that link, TCS said, the $168 million award was a "windfall" for DXC. TCS also called the punitive damages unconstitutionally excessive.
DXC pushed back hard. It told the justices that "nothing about the court of appeals' fact-bound application of settled law warrants further review." The Supreme Court agreed — declining the case without comment on June 15, 2026, according to Reuters.
The case is now a landmark for "talent lift" disputes — situations where a company hires a rival's workforce en masse and faces claims that employees brought secret knowledge with them. Similar cases have hit the industry before. In 2014, TCS faced a $940 million jury verdict from Epic Systems in a comparable trade-secret fight, though that figure was later cut significantly.
Legal analysts say the ruling signals that courts will value stolen trade secrets based on what the thief gained — not just what the victim lost. For IT firms like Infosys, Wipro, and HCL, the message is clear: when absorbing employees from a client's legacy systems, so-called "clean room" protocols to block the use of old proprietary knowledge are now a legal must, not just a best practice.
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