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Introduction:

The world has been a witness to the ever-growing technological advancements. Humans have come to terms with the emergence of technology to automate the human labour workspace, revolutionizing the aspects of life.

The human intelligence is an ongoing competitive consciousness, thrilled with advancements and innovation for a future technical world. With technology impacting the sciences of human workforce contrast, there has been occurrence of upcoming trends of technology-based occupations. The nature of workspace and the augmentation of human force has been the outcome of the contemporaneous elements of Artificial Intelligence (AI).

Exposure to Technology in Law

The dynamism of sciences has been closely associated with technological innovations, affecting each of them differently, however, one of the traditional occupations with drawn-out advances is Law. Owing to the introduction to the World Wide Web (www) opening up new possibilities in a digital world, and the transition from typewriters to Fax, to computers and currently Emails, the legal sector is yet to be equipped with the elements of AI.

Lawyers have been skeptical with the changing trends of workspace, showcasing a mere inclination to adapt to digital possibilities. Currently, the lawyers have been reasoning out their confidence with technology, claiming to have limitations, specifically around artificial intelligence (AI).

However, the pace of transition might be slow, yet is not unseen. There have been glimpses of emerging technologies and the elements of augmentation of legal counsels’ work, especially into the Corporate sector of law. The fast-track launch of new applications and impact of AI are growing, along with AI tools changing the profession practices significantly.

Certainly, the modern enterprises have been subjected to trans-formative consequences in the past decade, on account of the rise of tools for increased efficiency, automation of key processes and accomplishing insights into business data.

Evaluating the Near Possibilities

Machine learning technology can foster the automation of time consuming manual tasks, while saving that time for legal practitioners to engage in more strategic and high value tasks, for which they are uniquely equipped in the competitive market for lawyers.

The major setback in the contemporary legal profession, especially the corporate, is the huge volumes of low-value, repetitive tasks, which on the hand, are the strengths for a augmented machine/programs that adapt to the rules that govern simple decision-making function as the human input guides it.

The AI is capable of scanning a large volume of energy-consuming tasks such as the legal research, due diligence, e-discovery, and review of contracts/documents, and bring the outcome in the minds of lawyers the authenticity in compliance with the company’s preferred terms. Furthermore, AI’s capabilities are not just restricted to review of repetitive tasks; it can analyze huge quantity of data and supply detailed insights to assist better informed decisions, even suggesting revisions for more favorable terms of any particular corporation.

It’s an easy win for legal departments that deal with contracts at scale to bring costs down and increase accuracy in contract negotiations. They use cases for replacing simple decision-making with AI are endless.

Law in terms of corporate firms is much more dynamic in the volume of textual interpretations, with numerous attributes that need to be analyzed and reviewed with deep precision. It is challenging for lawyers to adhere to tight schedule while executing their working objectives. The idea behind incorporation of AI is to improve the efficiency of the limited capabilities of humans by automating manual, low-value tasks that can be executed with more accuracy and low-cost maintenance by a machine. Moreover, the use of big data by machines can provide better insights to intercommunicate the complex decision-making and judgment tasks.

Accurate analysis of millions of provisions/clauses of statutes and the review of unstructured data is possible only possible with the aid of AI elements, while still being able to explore the  nexus over thousands of constituents, and identifying the concepts within contracts to decently categorize and extract the data, for more sophisticated solutions. Law is air-filled with complexity and shady provisions, which requires lawyers to routinely accomplish a wide range of labor that is effective with years of experience, learning and research.

Lawyers’ reluctance to modification is knotted to concerns over technological expertise, while discovering attorneys who have the background knowledge and experience to significantly interpret the technology, or pace-up practicing attorneys to the present knowledge of the AI tools and perform usage with effective ease, than being a burden while operating the same.

Conclusion

AI’s extraordinary cognition to carry out well at narrow tasks, such as distinguishing specific section or provisions in contracts, does not extend to the far-ranging skills that attorneys necessarily must bring out in their function. AI is a supplementary tool only aimed to assist the lawyers in executive of otherwise cumbersome tasks. While AI and Machine Learning method offers great possibility in efficiency and fruitfulness, it is the subject matter expertise that can process that data and give deep perception into an organization’s most challenging obstacles. 

Legal sphere isn’t the only sectors in accommodating with the outcome and implications of AI. Technology organizations at the cutting edge of AI are reassuring workers across all business enterprises that it’s motivated to augment employees’ capabilities, not supersede them.

The workers’ requisite to keep in hand with the present-day technologies and be trained to utilize them. Fortunately, corporate attorneys are easy with technology and habitual to integrate new technologies into their exercise. Moreover, corporate counsel have already been using AI instruments in several of their mainstream occupation, such as for the purpose of legal research, for years.

A significant fraction of lawyers remain hesitant to adopt new AI-based technology, but this discernment misses the marvelous chance of witnessing a revolution to shape the legal sectors in ways never imagined. Needless to say, legal practitioners will eventually be conditioned to acquire and adopt AI elements because, even if they are reluctant to undergo transition, as the technology has already been steered at fast-paced revolution.


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