SaaS, Software, and Technology Lawyer – Kader Law
We help companies with their SaaS, Software, and Technology legal needs.
Artificial Intelligence (AI) solutions are becoming common in the workplace across industries. However, the integration of AI into workplace systems brings with it a host of legal considerations that employers must carefully navigate to avoid potential liabilities. This post will give you a high level overview of legal implications of using AI in the workplace.
Small business concerns often form a joint venture (JV) to create opportunities to pool resources, share risks, and leverage complementary strengths to win government contracts. This post will provide a high level overview of creating a joint venture tailored for government contractors.
In federal contracting, Information Technology (IT) subcontractors serving prime contractors (who work directly with the federal government) face a unique set of legal and regulatory requirements. Ensuring compliance with federal laws and regulations is not just a matter of legal obligation; it is also critical for maintaining a good standing, securing future contracts, and business growth. This post gives a high level overview of legal compliance for IT subcontractors in government contracts.
Software as a Service (SaaS) companies far and wide are adding Generative Artificial Intelligence (Generative AI) features, such as ChatGPT, Bard, and Bing.ai) to their offerings. It’s important to note that these features come with additional legal risks and requirements. This means updates to your Terms, Privacy Policies, and agreements in general are necessary This post assumes that your SaaS offering has a well laid out Terms, and will give you a high level overview of key updates specifically for Generative AI Features.
Artificial Intelligence (AI) is a part of every day life now. Whether it’s the factories building the things you use every day, ChatGPT-powered solutions, SIRI or Google Assistant on your phone, Alexa on your Amazon devices, or even your Roomba vacuum – AI is here to stay – and it comes with legal considerations. There is now a mad dash to plug AI into software and service solutions far and wide. This post will give you a high level overview of legal considerations when bringing artificial intelligence software to market.
Web3.0 (“Web3”) is being touted as the ‘next big thing’ in software, services, and everyday life. From cryptocurrency, to non-fungible tokens (NFT), to development in the ‘metaverse’ – Blockchain based Web3 is primed to be the foundations of how we interact with technology in the near future.
This post will give you a high level overview of some of the legal considerations that Web3 companies must think about.
Platform-as-a-Service (PaaS) solutions offer a cloud-hosted platform for software developers to develop, deploy, and manage applications – so that they don’t have to worry about setting up, managing, maintaining, and monitoring cloud instances. Popular PaaS solutions include products from Amazon Web Services, Microsoft Azure, Aptible, and Heroku. A standard PaaS Agreement Package generally consists of three parts: Cloud Services Agreement, Service Level Agreement, and an Acceptable Use Policy. This post will give you a high level overview of what goes into a PaaS Agreement Package.
If you’re selling software to larger organizations, chances are the legal department needs to get involved to negotiate some specific provisions in your software license or SaaS agreement (depending on what kind of software you sell). The key here is to make sure you are protected, while still coming to an amicable agreement with your customer. This post will give you a high level overview of 6 key provisions that your customers are likely to negotiate with you on.
Data security is important for software companies. because most, if not all, are handling some sort of sensitive data. Data security incidents happen, and they will keep happening. It’s in your best interest to mitigate data security incidents as much as possible. This post will give you a high level overview of what you should do to mitigate data security incidents, and be prepared if/when it happens to you.