mJuror Jury Texting

In my opinion, Judicial Systems, Inc. array of jury management software products are technologically superior to any other product I have reviewed and evaluated. Further, they actively develop new applications, as well as continuing to enhance and improve their current line.

Hon. Frances C. Gull
Administrative Judge, Criminal Division
Allen Superior Court
Allen County, Indiana

mJuror – Texting, and So Much More

Text message reminders are sent to jurors before their reporting date. Summoned jurors can be sent a text informing them of their request for deferment or excuse. Jurors can text inquiries to our intelligent text interpretation engine and can also request a GPS navigation map to the courthouse. A complete history of all communications is documented and becomes part of their permanent history within Jury2023Plus.

Language, the ability to speak, write and communicate, is one of the most fundamental aspects of human behavior. As the study of human-languages developed, the concept of communicating with non-human devices was investigated. This is the origin of natural language processing (NLP). The idea of natural language processing is to design software systems that will analyze, understand, generate and reply with natural human-language responses.

Judicial Systems, Inc. has developed and embedded natural language processing (NLP) algorithms into one of our jury management products, mJuror. mJuror receives text or email input from a potential juror, in “everyday language”, and evaluates the meaning of the request. mJuror then provides an accurate response to the potential juror’s inquiry. This enables jurors to hold two-way meaningful conversations with mJuror in a humanlike, intelligent manner.

This provides the courts the ability to accomplish two things at once: provide human-like interaction with citizens that doesn’t involve additional personnel expenses, and address the citizens desire for an instant response.

mJuror user input via text/email utilizes the following natural language and linguistic processes:

  • Receives natural language input

  • Perform spelling correction, punctuation, pruning and word standardization

  • Perform word and sentence tokenization, text classification and sentiment analysis, information extraction and meaning extraction

  • Identifies a plurality of words/phrases based on the above processes

  • Identifies a finite number of combinations of the words or phrases as candidate syntactic parses

  • Interprets at least one of the candidates as the representation of user intent

  • Formulates the correct response to the user’s inquiry

  • Provides reply to user inquiry in natural language via text/email

Automated Juror Check-In Demo