Your law firm represents numerous clients who have been harmed in a similar way by companies. There is an enormous amount of correspondence with the defendant companies, insurance companies and clients. Every reply letter has to be read with great effort before the next step can be taken. Although the answers can be divided into certain categories, the problem is that similar topics are phrased very differently, which makes it almost impossible to automate processes.
And this is why we have developed our AI semantha®: She understands text on the basis of meaning, regardless the wording – this is how you find the content you are looking for, no matter how it is phrased.
She compares documents with each other, comparing similar subject areas and checking for semantic similarities and differences. It also shows which topics are missing in the other document.
The creation of a brief is preceded by the compilation and structuring of countless documents for the client file. Finding crucial sections that are relevant to the creation of the pleading takes a lot of time. Given the large number of documents, even the search for the right document is very time-consuming. Once this has been found, you know which passage is being searched for, but you do not know the exact choice of words, which results in additional work.
Our AI semantha® understands text by its meaning, regardless of the choice of words – this is how you find the content you are looking for, no matter how it is phrased.
You respond to numerous lawsuits in your law firm and repeatedly come across similar presentations by the plaintiffs. Often, excerpts from past responses can be used as the basis for the new pleading. However, the search for similar passages from the past is very time-consuming due to ever varying wording and large quantities of documents with a lot of text. Even self-constructed files, in which pleadings and suitable replies are created as templates, become unmanageable in the course of time.
With semantha® new claims can be searched automatically for passages that you have already successfully processed in the past. She understands text by its meaning, regardless of the choice of words – so you will find the content you are looking for, no matter how it is phrased.