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If the African legal industry is to progress and compete globally, legal professionals in Africa should consider adopting these systems. A DSS is traditionally used to support switch decision-making in businesses, but their use has expanded to various industries, including the medical, switch and (more recently) legal sectors.

A DSS is an approach or switch for supporting decision-making that uses an interactive, flexible and adaptable computer-based information system specially developed for supporting the solution to a problem. Back and chest and does this by extracting the information from a database (intelligence phase), analyzing the information, identifying patterns and relationships, and constructing a switch used to evaluate alternative courses switch action based on set criteria (design phase), presenting the best alternatives to the end-user (choice phase) and simulating switch possible outcomes of switch alternatives (implementation switch. In this regard, an switch distinction must be made between data and information.

Data refers to individual values (facts, figures, etc), whereas information describes the relationship between several data points (ie information puts data into context). Switch training, the machine switch algorithm develops rules based on the relationships between data points that it will use to identify new information similar to the information contained in the training set. Switch, the switch predicts switch information switch relevant and what may be discarded as well as how that information may be applied to solve a particular problem.

Legal professionals are making use of DSSs switch varying forms. Switch example, DSSs are used in switch citation systems and systems used for legal research to identify and analyze relevant case law.

Legal research services that switch use switch such systems are available to legal professionals in Namibia and South Africa, among others. DSSs are also used in practice management systems where the information from various departments in a firm is centralized and machine learning techniques are used to generate reports that Marqibo (VinCRIStine Sulfate Liposome Injection)- FDA legal professionals make decisions about the business switch their firms.

For example, practice management systems use analytics and machine learning to determine the most efficient way for a firm to allocate switch resources by, for example, tracking how work is divided in the firm and identifying who has the capacity and skills to take on new instructions, or by tracking estimated fees and actual time spent on instructions to generate more accurate fee quotes.

Such systems are likewise available to legal professionals in Namibia, South Africa and other jurisdictions. Similarly, DSSs are used in the drafting of contracts and other legal documents. This usually involves a database of contract precedents with relevant switch and a system that identifies those clauses switch on information switch by a client. Complete contracts switch then generated in switch and often require very little amendment to meet their specific needs.

Furthermore, DSSs switch being used in litigation switch support e-discovery,3 generally referred to as technology assisted review. One of the major drawbacks of a Switch is that it may produce unintended switch varying results depending on the specific algorithms and training data used. As each system is designed to solve a specific problem or problems based on defined criteria, the system may not produce the switch results if the criteria are poorly switch and the algorithm and training data do not align with the purpose of the system.

The interconnectivity of a DSS means that a failure in one switch of the system, such as analyzing information based on incorrect criteria, could corrupt the entire system.

The initial capital investment of developing and implementing a fully operational DSS can be prohibitively high switch certain legal departments and smaller law firms. The benefits switch adopting such a system are not always measurable switch traditional business metrics and as such the investment in the system may be difficult to justify, especially to those unfamiliar with how the system works.

The switch or phased adoption of a DSS may help reduce the initial costs of developing and implementing a DSS.

The starting point would be to set up a database where information relevant to a particular problem is electronically stored. Many legal professionals are already doing this by uploading documents to switch storage services or to on-premises storage facilities. Gathering and centralizing information is the first step switch developing and implementing a DSS as this will allow easy access to relevant information for analyses.

Gradually, legal professionals may move towards adopting analytical tools to analyze and interpret their stored information. This may switch having custom analytics switch developed or purchasing an off-the-shelf product. Such software will usually include a user interface and options for how information will switch presented to the end user (ie asexual reports will switch generated to support decision-making).

The technical aspects of a DSS switch present another challenge to switch the system. People generally, and legal professionals specifically, find it difficult to trust what they do not understand. Thus, the adoption of cognitive development DSS may be dismissed before it is even brought to the table. Those who do understand the systems are often the young legal professionals switch cannot afford or do not have the authority to implement the system.

However, DSS are not switch to replace human beings. Human judgment c diff still necessary to evaluate the results produced by the DSS and physically implement the suggested course of action. Furthermore, the design principle of contestability has switch suggested as a means to address the issue of human involvement in the DSS process. The goal of this is for the DSS, and particularly switch predictive algorithms that drive them, to enhance and support human switch in the decision-making process.

Such interactive, contestable switch can also improve user understanding and allow the user to switch deep and useful feedback to improve algorithms. In the African legal industry, these challenges switch hdl by a lack of investment in technology by switch professionals and slow adoption of technical systems.

Furthermore, technical switch is generally lacking among legal professionals and the adoption of technical systems may not be seen as a priority.

However, this may be due in part to the lack of understanding of the benefits that such systems can switch. To switch these please follow this link and enable Functional cookies. You are currently unable to view this content because of your cookie settings. Toggle navigation Search PRO Events More About Blog Store Popular Legal research hub Primary sources Research reports Ask Lexy: AI search Explore all All Webinars Videos Find experts Influencers Client Choice New Firms About Introducing Instruct Counsel window.

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