Our recent blog post, The Rise of Next-Gen Business Process Outsourcing, highlighted the importance of understanding the exciting opportunities and the challenges of next-gen business process outsourcing (BPO) in order to effectively negotiate contract provisions that maximize the benefits of next-gen BPO and minimize the risks. In this blog, we take a look at a few key issues to consider when developing and negotiating a next-gen BPO contract.
Tech & Sourcing @ Morgan Lewis
TECHNOLOGY TRANSACTIONS, OUTSOURCING, AND COMMERCIAL CONTRACTS NEWS FOR LAWYERS AND SOURCING PROFESSIONALS
Business process outsourcing (BPO) transactions are on the rise, with bullish forecasts from industry analysts including a projected revenue annual growth rate (CAGR 2023–2027) for the global BPO market of 6.48%, reaching a market volume of $450 billion by 2027 and global revenue exceeding $500 billion by 2030, and the North American market alone projected to achieve 8.9% CAGR 2023–2030.
The recent rise in popularity of generative AI–powered applications such as ChatGPT poses important copyright issues for individuals and businesses with respect to content creation, including the scope of rights with respect to commercial use, content publication, potential liability for infringement, and content enforcement.
The UK government published its first National Quantum Strategy (the Strategy) on March 15, setting out £2.5 billion (over $3 billion) in funding quantum research and naming a quantum computing industry as a strategic priority for the United Kingdom. The following day, the science and technology committee of the UK House of Commons (the Committee) announced a new inquiry on turning quantum technologies into commercial products. As quantum-focused startups proliferate, UK policymakers are demonstrating their intent to enable early-mover advantages in the sector.
The UK government published a white paper on March 29 setting out a “pro-innovation” UK regulatory framework for artificial intelligence (AI). The framework centers upon five cross-sectoral principles, of which implementation will be context-specific to the use of AI, rather than the technology itself. The government does not propose introducing a new regulator or any new legal requirements on businesses, instead leveraging existing powers of UK regulators and their domain-specific expertise.
Artificial intelligence (AI) and machine learning (ML) are transforming industries and everyday life—but they are not without potential legal issues. ML, a subfield of AI, involves developing algorithms and statistical models that enable computers to learn and make decisions or predictions based on data without explicit programming. As ML systems improve over time with exposure to new data, they present new legal challenges for attorneys and businesses to navigate.
The use of open-source software (OSS) is ubiquitous. Depending on what license governs the type of OSS a company uses and how it uses the OSS, OSS use impacts the valuation of the intellectual property (IP) used by a company or transferred in a merger or acquisition (M&A). Thus, OSS-related representations and warranties have become an integral part of the IP representations and warranties in M&A transactions and financings.
Until early 2023, a public disagreement regarding open intellectual property licenses was ongoing between the owner of a significant piece of popular content—the roleplaying game Dungeons & Dragons (D&D)—and the individuals and corporates that engage with it for free.
In the era of digital transformation, businesses increasingly rely on software-as-a-service (SaaS) solutions for various operational needs. For a buyer, it is crucial to prioritize data security when negotiating SaaS contracts to safeguard sensitive information and comply with data protection regulations. In this post, we explore the essential data security provisions buyers should consider when entering into SaaS agreements.
Software as a service (SaaS) is a distribution model where the software vendor hosts their software on their own servers, or the cloud, as opposed to the customer purchasing the software for use on their own on-premises servers.