What programs are used by law firms?

Due to the data-intensive and knowledge-based nature of the service provided by law firms the industry is looked upon by program developers as fresh fields for these types of technologies. But what are these technologies we at Screwem, Goode & Hart use currently utilise and what exactly do they do?

Machine Learning – Machine Learning involves mathematical model-based algorithms for computers to study patterns in data to allow for deep learning and predictive analytics in law practices.

Natural Language Processing – This is the application of linguistics, statistics, and computer science, to problems related to spoken or written language. Useful in a legal context for information extraction, translation, classification and clustering.

Planning, Scheduling and Optimisation Technologies – consists of a range of modules that can either be implemented separately or integrated to form a powerful tool that provides visibility, scheduling optimisation and planning of mobile resources.

Legal Expert Systems – Mechanisms with which one can acquire the expertise of legal experts and structure that expertise so it can be delivered to other people who know less about the domain, but need a solution to a specific problem within the domain.

Speech Technology – Allows for speech to text conversion and text to speech conversion saving time and reducing the level of errors in recordings.

Vision Technology – Enables image recognition and machine vision capabilities.

In their most basic form, these technologies can be broken down into three main uses relevant to the current legal profession.