Big data is important in every industry, including law. Improved legal technology will be assisting law firms with case assessments, proper data collections, and increased law firm efficiency. What lawyers often fail to realize is that big data can make their jobs much easier if they learn how to use it and embrace the changes.
The ability to know whether a case is worth the firm’s time or if there is no case at all can be done by using big data to pick out specific keywords in written inquiries. It can also help research and can assist attorneys in properly marketing themselves.
Improved Case Strategies
Legal technology can be used to help make decisions in case strategy. Big data can help attorneys to research jury members, research similar case outcomes, and develop strategies based upon similar case scenarios to win more cases. Predicting case outcomes before accepting a case can prevent law firms from taking cases that would be a financial risk and likely to end with a financial loss.
This is one of the reasons that attorneys offer free consultations. They have to know whether a case is worth it to them or not. It also helps the law firm make a budget for each case, as their profit and the client’s reward are dependent on that budget being met. The ability to know about a big gain for lawyers ahead of time can make a case more enticing to a law firm.
The use of predictive analytics will enhance legal tech programs and use of big data to help sort information, provide attorneys with more relevant data, and attain information faster for case progress. Attorneys often communicate with clients on multiple channels, including via phone, email, and VoIP conversation. It is difficult to sort through all of this data by hand, so predictive eDiscovery analytics can be implemented to pick out the data the attorney needs.
Analytics to Simplify Data
In the legal world, there are dozens of pages of material to read for any single case. Not all of the information provided by clients, defendants, or those involved in the case is going to be pertinent information. An algorithm can be created to sort through the provided data to pick out the pieces of text that are necessary for the case. Using big data to simplify big data seems like a redundant process, but it is rather valid as attorneys can obtain information required for a case faster.
How does big data apply to personal injury claims you might ask? Attorneys can use a unique algorithm to search for similar cases. The attorney can review portions of the similar cases to develop a stronger case strategy.
One important way for law firms to use big data is to increase client experiences by allowing for real-time reporting, case updating online, and submitting forms online. The ability for analytics to be used to see how clients reduce their communications as their billing statements are updated in real-time helps attorneys focus more time on the case. Clients being able to login to their case and see updates reduces attorney interruption and reduces client frustration.
Big data in legal technology is helping clients become more self-sufficient. Clients want updates and answers to their questions right now, rather than when the attorney has time to return a phone call or email. The ability to just log in and see what’s happening with their case eases their minds.
Decreased Retrials and Appeals
The ability for attorneys to sift through information via selective data algorithm will help reduce the number of appeals and retrials filed within the court systems. This is one way that big data is disrupting the legal profession, but in a way, that increases law firm efficiency. When a court can retrieve up-to-the-minute data about a case, appropriate judgments can be rendered.
The law industry is ready for a disruption. The disruption, however, is only going to make the process of case management, case selection, and client satisfaction better. Law firms need to embrace legal technology, have algorithms created, and use this information to strengthen cases.
How is your law firm embracing big data?