One important challenge facing the legal industry is the vast amount of data generated regularly. This is true for many areas of the legal sector, including legal research, supporting with discovery, outlining a plan, or performing a multitude of other tasks that paralegals and legal assistants accomplish every day. How can the average paralegal or legal assistant obtain useful insight from all this information?
Predictive analytics is a method that has grown alongside the exponential increase of data in the digital world. Now the legal industry is making application of this type of analysis to improve overall efficiency. The software comes with language-based technologies that swiftly scan, read, and synthesize written records. With these documents, predictive analytics can use analytical techniques to glean future events from data mining, machine learning, and predictive modeling. With this capability, predictive analytics is creating an impact on the legal industry.
Data Mining – the development of patterns, abnormalities, and correlations in large quantities of data to generate new legal strategies and predict case results.
Predictive modeling – the utilization of statistics to predict outcomes. Predictors are identified that are to inspire future case law or legal awareness.
Machine Learning – uses mathematical techniques to teach computer systems with data. Knowledge is gleaned from these statistics rather than processed.
Easier Entrance to Accurate Research and Data
Millions of legal documents are being attached to digital repositories every day, and the platforms are created to process this digital data at extremely high speeds. Besides, the data must be enriched to extract new relevant insights. Document meta-data enrichment and advanced information parsing technology takes raw data and transforms it into relevant insights into legal questions. By understanding this method, paralegals and legal assistants can perform even more specific, efficient research in support of legal procedures.
The Potential of Artificial Intelligence and Machine Learning
While still new to the legal business, machine learning, and AI are making a considerable influence on the legal sector. AI is a technology that permits a computer to carry out tasks associated with human decision building. Machine learning is a subset of this technology. It allows the machine to process large quantities of data and learn from that data, actually becoming smarter over time.
Making Paralegals and Legal Assistants Stronger
Rather than substituting paralegals and legal assistants, this technology will empower them to be even more excellent support to attorneys. Robot lawyers will not survive, nor will robot paralegals. Nevertheless, the predictive analytic technology will perform the repetitive, tiresome tasks necessary for thoroughly preparing for legal matters. It will not substitute the subtle, sophisticated judgment necessary for the administration of justice.
Legal Predictive Analytics
Data analytics is producing real value and utility to the legal industry by enabling users to make more normal decisions in a variety of legal areas such as copyright, antitrust, trademark law, securities, and other kinds of litigation.
Data analytics enables innovative legal insights through mining data sets established out of case opinions, legislation, docket data, and other areas. The concepts promise to improve conclusions drawn by legal attorneys, judges, and other stakeholders in the legal industry. This is an interesting time for paralegals and legal assistants. Predictive analytics will permit them to be highly essential members of any legal team.