When the firms made the predictions of the possible dominance of humans’ jobs with , little was said concerning the legal sector like the law firms. Over 50 crucial industrial jobs had been highlighted to be taken by the modern and upcoming which could be in the form forms or .
Jobs like assembling of parts, material , conveying of finished products, warehouse storage system, detection of accident in , automotive emergency signal system, analyzing of damage production line parts, driving of commercial vehicles, piloting of , laying and plastering in civil , advertisers for supermarkets and firms, security personnel, thunder detectors and signal outputs, fire service personnel, armed soldiers, class room teachers, and office secretaries, etc. are among the numerous jobs mentioned that will take over from humans before the year 2030. However, despite the future prediction more than half of the listed jobs had already been occupied by currently.
The use of such modern technology in the law firms and legal sector seems to appear impossible or not useful based on the nature of works associated with the professions such as the handling of documents and files, selection of relevant documents for a law case, retrieval of lost or damaged documents, writing or creation of new documents with unique signature and stamps, and identification fake or forged documents, etc. have all been classified as the job any in such firms will be expected to do.
According to Mr. Bernard Marr contribution in the article published by forbes.com, here is what he has to say “Whenever a professional sector faces new technology, questions arise regarding how that technology will disrupt daily operations and the careers of those who choose that profession. And lawyers and the legal profession are no exception. Today, () is beginning to transform the legal profession in many ways, but in most cases it augments what humans do and frees them up to take on higher-level tasks such as advising to clients, negotiating deals and appearing in court.”
It is of no doubt that the law firms and legal sectors will need the just like the industrial sectors do. However, based on our earlier publications; a firm actually made a that can analyze any human hand writing, stamp and signature and use the data to produce any document bearing the handwriting, stamp and signature of the original owner using voice input or a copy of intended document in another handwriting or typed font, the commentary said that it would be difficult to differentiate the document made by the from the original document made by the owner and they recommended the for office use and document handling. This implies that the law firms and legal sectors already have a modern for creation of documents.
Having obtained such , what happens to other works carried out by the firms? Based on the thousands of springing up every day, there is a belief that which can handle all the above listed works for firms had already been made through the .
The above belief has made it necessary to define what the is all about. According to the Forbes definition; “ mimics certain operations of the human mind and is the term used when are able to complete tasks that typically require human intelligence. The term learning is when computers use rules (algorithms) to analyze data and learn patterns and glean insights from the data. is a large factor shifting the way legal is done.”
Though science and technological terms may not be popular to the sector it is believed that proper explanation and learning can help them implement the modern into their daily activities.
UNIQUE WORKS CAN BE DOING FOR LAW FIRMS AND LEGAL SECTORS
Based on online research, these categories of firms are known for handling of documents and files with the majority of them having more than 50 thousand files or 100 thousand documents under their control, hence the of retrieval, loss of files, and misplacement of documents always dominate the firms. But the above challenges can easily be solved with .
Here are few functions highlighted by Forbes publication that could do for such firms:
“Review documents and legal research
AI-powered software improves the efficiency of document analysis for legal use and can review documents and flag them as relevant to a particular case. Once a certain type of document is denoted as relevant, learning algorithms can get to to find other documents that are similarly relevant. are much faster at sorting through documents than humans and can produce output and results that can be statistically validated. They can help reduce the load on the human workforce by forwarding on only documents that are questionable rather than requiring humans to review all documents. It’s important that legal research is done in a timely and comprehensive manner, even though it’s monotonous. systems such as the one offered by ROSS Intelligence leverages natural language processing to help analyze documents.”
“Help perform due diligence
In law offices around the world, legal support professionals are kept busy conducting due diligence to uncover background information on behalf of their clients. This works includes confirming facts and figures and thoroughly evaluating the decisions on prior cases to effectively provide counsel to their clients. tools can help these legal support professionals to conduct their due diligence more efficiently and with more accuracy since this is often tedious for humans.” However, the above two works can be referred to as minor when referred to most crucial jobs can perform such as the making of documents and identification of falsified signatures and fake documents. Scientists believe that anything human being can do will possibly be automated using the through . According to , before 2050 would take over 100 % human jobs in all sectors across the globe but the impact such could have remains the major area of debates among humans.
A mechanical engineer, an NDT inspector, Graphic designer & Web developer, I love and sharing of knowledge for human intellectual development, especially relating to fields, environment, and science trending updates.
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