How AI helps lawyers replace mundane tasks with productive time-efficiency gains?

/ / How AI helps lawyers replace mundane tasks with productive time-efficiency gains?

Science and technology are mostly considered a blessing, they make work-life convenient, easy and just more efficient.  One such technology which is currently taking over every aspect of our lives is AI – artificial intelligence.

Artificial Intelligence (AI) is an expression created by John McCarthy, acknowledged as the father of AI. In simpler terms, it can be described as a capable and intelligent machine, which can think, understand, and can act on its own, in addition to posing the ability for replicating certain human behaviour. Therefore, AI is the invention of science and art by programming computers for reflecting the thought process just like humans. One of the leading examples is Google Translate, where we can promptly translate any written text into different languages.

In generic terms, AI is the duplication of humans and theoretically can perform the same tasks in lesser time and faster. With AI’s application ranging from ordering groceries on Alexa to Spotify creating playlists as per your choice of music, it has found its way to the legal sector too.

Legal Tech, is a field that has become popular essentially in the past few years. It started with simple tasks like document management, court update trackers and has evolved to performing ‘mundane’ legal tasks and even research in a more precise manner reducing the scope of human error.

One major aspect of being a lawyer is dealing with the immense amount of paperwork and writing. In between the client feedback, reviews and notes it is easy to lose track of the multiple changes and miss critical checkpoints while proofreading manually. It is important to note that ‘editing’ and ‘proofreading’ are different from each other.

In the editing process, it is necessary to re-read the draft, to check more noteworthy concerns including organization, paragraph structure, and content. Nevertheless, in proofreading, one is required to focus more on finding as well as improvising the errors in writing, grammar, and language.

These take up a lot of time, effort and can be quite inefficient. Especially when multiple people are reviewing one draft, there are bound to be language inconsistencies and a situation where you can say ‘ ‘too many cooks spoil the broth’. Good quality legal documents strive for uniformity across the board from the information to the structure, content style, arrangement, and even the language.

Errors and lack of consistency reflect poorly on the team and can taint a client’s level of trust.

In this regard, AI-powered legal proofreading tools like Mike DocuSieve are a boon for proofreading documents. The speed, precision and quality of the check provided by these tools, not only help lawyers save time, but also supremely improve the quality of each draft they produce.

The two main advantages of adopting AI in the legal aspect, are the following-

  1. Administer due diligence for reviewing contracts & agreements and save hours each day.
  2. Advanced Legal Research Spectrum- AI would accommodate all the necessary information related to the case, including past case laws, decisions & points of reference law that could be utilized in the current case.

Such ‘smart’ proofreading tools for lawyers are mainstream globally, and the Indian legal fraternity seems to be catching up well to this adoption of automation. One may argue that the dependence on such tools can maybe make one ‘dull’ or feel ‘out of touch’.. but really? That’s why firms world over is equipping their associates with such legal tech solutions to take the ‘mundane’ and ‘prone to manual errors’ aspect out of their work so they can focus more on strategy, client management and gain more time in their day.

It is said that AI is the stepping stone to the future, especially in the legal genre. It is pivoted to make legal teams work smarter, better and multi-task without having to compromise on the quality of the work or deadlines.

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