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Big Data Legal Analysis

Big Data Legal Analysis

If we go back to a time when courtroom courtroom data and legal and paper documents were not connected to the Internet. But now that times have changed, we realize that everything happens online and can be accessed at any time with just a few clicks. Big data is an important form of research and will be part of research for a long time to come. However, the legal issues surrounding Big Data mean that the practice of sourcing and using Big Data will evolve over the next few years. The importance of Big Data is increasing. Every day, the profound effects of data analytics are felt in countless areas of digital services – thanks to the endless streams of information they generate. Yet a handful of people are actually thinking about how big data affects some of society`s most important professions, including law. In this blog, we will explore the impact of big data on advocacy and the changing justice landscape around the world. Big Data is affected by state data protection laws, especially data protection laws, to directly process online disclosures and registrations. An example of a robust state privacy law is the California Online Privacy Act (CalOPPA), which went into effect in 2004 and was amended in 2014.

It requires websites to provide explicit privacy statements and allows users to know how their information will be used in the future. Other states such as Alabama, Delaware, Oregon, and South Dakota have also begun to address privacy and data issues for employees of organizations (Litchfield, 2018). Of course, state laws have limitations, and sometimes those state laws can be replaced by federal regulations. With respect to big data, it is important to note that the collection and use of big data is not just a matter for federal laws or regulations of federal authorities. States can go further than the federal government when it comes to data protection regulations, and large states like California and New York are legal influencers because of their size and scope of business activity. Automated data analysis has changed the way scientists think about health research and is helping to uncover inefficiencies in transportation systems. Today, it is making waves in the legal sector. Right now, AI and analytics platforms are creating an advantage for law firms and clients who can afford to pay for it. But it also has the potential to democratize the sector. “It will make legal services more accessible to laypeople by reducing costs and encouraging the development of self-help applications aimed directly at non-lawyers,” Alschner said.

“All of this will change the role of the lawyer and his or her day-to-day legal practice.” Such research tactics will largely drive the show, as big data technology tends to become cheaper and more popular in the market. In the near future, big data will be used in a variety of industries, and we look forward to seeing impactful results. For such a system to analyze court proceedings and predict decisions, it needs data. But it has to be the right kind of data. It needs to be easy for machines to read and understand – messy handwriting can be difficult to interpret, but clear checkboxes in forms are easier for software to understand. If big data is machine-readable, AI systems in the legal sector can save money and time. European privacy concepts can ultimately determine how big data is handled in the United States. There are many law firms and lawyers that conduct public affairs directly on behalf of large companies and corporations, allowing them to conduct their business, transfer ownership, etc. and other legal functions efficiently and without legal crisis. In this case, big data can help to understand and correct previous anomalies related to the history and documents of companies, as well as previous cases. Not only the legal industry, but there are several other industries that provide them with the use of Big Data.

This is perhaps one of the most counterintuitive legal issues in big data. As a general rule, data collection covers the area of data protection and appropriate disclosure. However, the FTC`s first attempt to discuss big data focused on inappropriate use, not inappropriate collection. Because of PR`s commitment to ethics, PR practitioners are perhaps the best equipped professionals to deal with the ethical dimensions of Big Data and its application. Public relations practitioners who deal with big data should pay attention to how data is used and whether data inherently enables biased decisions. Data is used to inform, but what the ethical dilemmas in data analysis show is that it`s up to individuals, not data, to make decisions. As mentioned earlier, the way the GDPR is written to operate outside the borders of the EU. Organizations with international users living in the EU will be included in the GDPR requirements. With the GDPR coming into effect in May 2018, it remains to be seen how it will affect Big Data. Maybe it won`t be as bad as expected, but again, only time will tell. However, like U.S. federal laws aimed at protecting patients and students, the GDPR will affect the type of information that can be collected, how it can be obtained, and users` rights over their information.

This data can help reduce costs in a courtroom, as decisions can be made based on the huge data that serves as a reference, allowing case-based references from anywhere to be accessed and questions asked in the courtroom to be answered with clarity and evidence. Federal Trade Commission. (2016). Big Data: An inclusion or exclusion tool to understand problems. Excerpt from www.ftc.gov/system/files/documents/reports/big-data-tool-inclusion-or-exclusion-understanding-issues/160106big-data-rpt.pdf. The more data there is, the more conclusions can be drawn for different purposes. The legal industry has been a little reluctant to adopt the entire web system due to online scams, but it has still started working to understand the benefits of big data and create a security system to protect people`s information from fraud. Perhaps the most important problem with Big Data is the evolution of data protection laws in Europe. On 25 May 2018, the European Union`s General Data Protection Regulation (GDPR) came into force, replacing the 1995 Data Protection Directive (DPO). This new law affects the EU and the countries of the European Economic Area (EEA) and creates new regulations for data protection in the digital age (Due to Brexit, the UK has a separate data protection law 2018 that reflects the rules of the GDPR). The law has far-reaching implications as it affects not only organisations within the EU, but also organisations that provide goods or services to people residing in the EU.

Companies outside the EU that have CUSTOMERS from the EU are affected by the GDPR, even if the organisation does not have headquarters or offices in the EU Member States. However, the law has limits. The data regulated by the GDPR are only those relating to natural persons; It does not apply to data relating to organisations. In addition, the GDPR would not apply to an organization that does not directly target individuals in the European Union (European Union, 2018). The FTC`s 2016 report says there are more to just inclusion and discrimination in big data. Given the current data protection environment, given Cambridge Analytica, Facebook and the EU GDPR, it is possible that there will be stricter regulations on data protection on the Internet. In fact, under the GDPR, the EU-US.

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