|Image from Timo Elliott|
In the legal field, there are enough and more sets of data that can be generated for standard document clauses, online contract clauses, filing of delay petitions and finding out necessary documents to be attached to such petitions, to name a few.
Here is something interesting that I learnt in the introductory course to Artificial Intelligence(AI) and Machine Learning(ML) by deeplearning.ai. Let’s look at companies in general. It is important to understand the difference between a company that uses AI, and an AI Company. The difference can be understood easily with an example. Let us say that a big store has an online website. Would you consider it the same as Amazon or any other internet company? Just like a company that uses the internet is different from an internet company, similarly a company that uses AI is different from an AI Company.
To use and incorporate technologies of AI and ML for your business, there are two most basic requirements-
- It must be a simple concept.
- Lots of data sets must be available for the task.
Without these two key requirements, ML works poorly where there are complex concepts that needs to be performed from a small set of data or new types of data. Therefore, to utilize the tools that AI provides for your business, it’s wise to create a huge data set, and then execute pilot projects.
All these are simple tasks, and generating a huge data set to feed for the effective use of ML is not difficult. It would be worthy to consider giving these aspects a thought, in order to efficiently handle the volume of cases, and the delay in filing them, in our country.