Digital transformation

Digital transformation is affecting various industries and the legal sector is one of them

Digital transformation

The legal industry is implementing the digital transformation tools into the daily routine. Various innovations like artificial intelligence, machine learning, and robotic process automation are widely applied to various spheres and the legal industry is no exception. For the legal sector, it is a big step to shift from the traditional working models towards digitalization.

The legal practices are facing dramatic changes with the application of automation and maintenance of digital records. Some of the major revolutionary trends in the digital transformation of the legal industry are:

⦁ Legal documentation maintained by artificial intelligence;
⦁ Chatbots instead of customer service managers;
⦁ Confidentiality and privacy via cybersecurity;
⦁ Repetitive tasks performed with the help of automation;
⦁ Business intelligence furnished by predictive analytics.

Legal documentation maintained by AI

Maintained by AI
Maintained by AI

Applications based on artificial intelligence are slowly affecting the legal industry. There are a lot of cases of use of artificial intelligence which are IP portfolio content analysis, due diligence, and legal research.

⦁ Artificial intelligence helps litigators to perform due diligence to find out the background facts. The application of AI is useful in the cases of legal research and the reviews of the contracts.

⦁ The tools of artificial intelligence assist lawyers in analyzing intellectual property portfolios.

⦁ Legal research is usually one of the most important and time-consuming activities in legal practice. The repetitive process of research is often performed manually and sometimes there are errors. Artificial intelligence deals with the analysis better than people because it never makes mistakes.

AI-based bots as customer service managers

Chatbots are now the common practice when it comes to the queries and faqs. The interactions by chatbots are based on the resources with the existing information. AI-based bots are offering advice to the customers or conducting conversations with them.

In the legal sphere, chatbots provide the round-the-clock service for the law companies offering the customers the consultations connected with the legal issues. Using the chatbots helps to save time for the attorneys.

Some types of chatbots like ROSS are able to analyze the legal documents and also conduct intelligent research. The AI-based UK bot called DoNotPay helps users to appeal against the parking tickets.

Confidentiality and privacy via cybersecurity

Security and confidentiality are important issues in the legal industry. The relationship between the attorney and the client depends greatly on these issues. The legal profession requires a high level of protection of confidential information.

Cybersecurity protects sensitive information and helps to maintain the privacy of the client by separating the junk information from the sensitive information, identifying sensitive information systems, securing the data with the means of encryption, limiting access to the information and monitoring the accessibility of information only to authorized users.

Repetitive tasks performed with the help of automation

Digital Transformation in the Real World
Digital Transformation in the Real World

RPA or robotic process automation is one more technology applied due to the digitalization of the legal industry. One of the perfect examples of automation use cases is document automation which is based on the inputs of the data. The legal companies can use this technology for creating the pre-formatted templates for the forms needed to be filled out

Robotic process automation can make some processes fully automated like handling meetings or cases. For instance, some legal technology firms provide online divorce solutions based on artificial intelligence.

Business intelligence furnished by predictive analytics

Predictive analysis is the use of different methods as statistical algorithms, data, and machine learning to find out the likelihood of the future results that are based on historical facts. The goal of predictive analytics is to make predictions about future events that are unknown.

Predictive algorithms use the data provided by the legal companies stored in the forms of client information, case history, judicial timeframes, and the amount of time needed for each case. The mentioned data is a business intelligence and legal professionals can analyze the patterns and trends on the basis of this information.

Legal companies may apply this data to define the probability of win cases and identify the possibility of good outcomes for the clients. Also, the analytics can conduct research on the previous cases in history and how they were ruled by the specific judges and courts. The predictive analysis helps to calculate the time needed for the case to settle.