In the year 2030, the fight for the top spot in Am Ranking is between Deloitte and EY divisions. Most of the courts have moved online, so the lawyers work from home. Contract drafting and review are very rare due to Artificial intelligence. The lawyers are mostly good because they came out of law school with an Artificial intelligence certificate. You can foresee this. The future of legal tech could also be different.
The software that works on natural language has been a key player in certain areas of the legal profession. It may not be a surprise to anyone as the law has its own language at its heart.
There are companies of artificial intelligence that keeps on working on innovative ideas to launch new technologies that assist in doing difficult tasks with great efficiency, and accuracy.AI is already helping the clients and lawyers in legal proceedings.
Artificial intelligence is revolutionizing the legal profession rapidly. It closes in on different legal works, which include paralegals, legal researchers, and litigators.
Emerj`s AI research and advisory services are used by different law firms and law services companies that are looking forward to making the best decisions for their companies to help them in augmenting the workflows of its professionals. We discuss different things in this article. This research article includes various ways through which AI is currently applied in the legal profession. How the AI companies are trying to provide different technologies to streamline the work processes.
Current legal applications can be divided into the following categories:
Due to the recent development of AI, there are many applications of AI in legal practices. According to Richard Susskind (one of the most respected thinker at the intersection of legal and technology in the United Kingdom) thinks that the trend of AI will rise in the coming years.
According to our research and assessment of different companies and offerings, the applications of AI fall into six main categories:
Document automation - Legal firms use software templates that can be filled with data input for legal proceedings.
Prediction technology – The software forecast the result of the litigation outcome.
Legal analytics – The software used to get the data points from past case law. It is also used to check the judge`s history. It also assists in checking the trends and patterns.
Due diligence – This assist in uncovering the background information. Contract review, Legal review, and electronic discovery are added in this section by us.
Electronic billing – Lawyers hours are calculated automatically, which will be billable by the client.
Intellectual property – Assist in analyzing the large IP portfolios and checking the insights.
Some other applications used are :
Legal research is the most important part of the legal profession. It is necessary that any legal advice attorney must be under the constitution and statutory as created by legislators and case law as created by judges. Online legal databases are available for a long time. Natural Processing database (NLP) is used to make the research process relatively easy.
Artificial intelligence is used to make the research process easy.AI and legal research are a huge business, and the annual growth of NLP is about 21%, and it is expected to increase twice in 2024 than it was in 2019.
Learning human languages, using context, and prior queries are bases of NLP work to predict attorney needs in the research. Google searching is an example of NLP. If we use the Google search engine to search “restaurant,” Google automatically give the suggestion of “Restaurants near me” after that if we type Rasta.
Google will recognize it even if we misspelled the word and show us the correct results.
Predictive models can be provided by NLP and Machine learning. They help to forecast the judgments which may be given by the judges and courts. According to the research, in 2016, 79 percent of cases of Human Rights in the European Court were predicted accurately by using these artificial intelligence tools, i.e., NLP and Machine Learning.NLP does the process of analyzing the decisions of any judge in a very short time. It also takes away the issue that will most probably be determinative in a case.
NLP is also helpful in pointing out importing specific phrases that may appear in lengthy court decisions. It also assists in searching the query that may appear in relation to some other terms. This saves time of attorney by neglecting the irrelevant cases. The legal team can dig deeper into the cases which have desired parameters of our research.
The origin of Machine learning goes back to 1942. Blaise Pascal designed a mechanical adding machine. Arthur Samuel was a pioneer of modern Machine Learning. He was an IBM researcher. Later the professors of Stanford research centers work from the 1940s to 1960s on computers on learning from experience by computers. The major focus of Machine Learning is on the development of programs that enables computers to innovate when they are subjected to new data. Computers follow algorithms, and through these algorithms, they do a task on data automatically, and thus, without any human interference, they perform their task on data.
There are two major forms of Machine Learning used in the Legal Profession. These are eDiscovery and Unsupervised and Supervised Machine learning.
Unsupervised Machine Learning is basically a type of machine learning in which a computer says, “tell me something I don’t know.” The algorithms of the computer are applied to the data. Specific patterns, similarities, and differences are organized by the computer on data by using the algorithms. The algorithms do not need any person to rely upon. They tend to work on their own. The algorithms have the tendency to learn from past experiences.
These Unsupervised machine learning tools are particularly significant to investigate activities. The activities which it may include are Lawsuits specifically across the EDRM spectrum of eDiscovery activities. It may also include the activities in which the information may need to be researched and organized in a particular way. It also assists in the evaluation of information.
Supervised Machine Learning is basically a kind of Machine Learning in a way to “Find more like this.” The user trains the system in Supervised Machine Learning. Some information, often in the shape of Individual Email messages are presented to the user are provided in eDiscovery systems. The user makes a choice in this. The user identifies the computer if the information provided is relevant or the information is irrelevant. The additional information in the computer is also handled by the system by using these recommendations. There are different variations to this approach. These are predictive coding, the technology-assisted review, also known as TAR. It has other variants TAR1 and TAR2. The other approach is continuous active learning, which we may call CAL.
Different kinds of Supervised Machine Learning are used in the investigations and for the document review. The different forms may include classification, models, named entity recognition, custom-named entities, case outcome prediction, and contract clause detection.
The legal sector has proved to be the most resilient from the effects of this pandemic situation due to the Corona Virus. Most of the Law firms can work sustainably on the WFH models by using different tools such as Skype, MS Teams, and Zoom meetings. They continued their one-on-one meetings even in this pandemic through these applications. The revenue of these law firms is not much affected by the pandemic situation, as shown in the annual financial results shown over the summer.
Most Lawyers want to continue with this online model of working even after the pandemic is over. 61% of the legal professionals have an interest in more WFH opportunities. Roll on Friday survey has confirmed this desire of the lawyers and law staff. This survey was based on over 2500 law professionals. Only about 10% of the law professionals want five days a week model to comeback. However, 10%want to spend no time in the office while 44% wanted to spend 1 to 2 days in the office and 35% want to spend three to four days in the office. Therefore, the trends of working from home are increasing day by day.
The biggest benefit of AI tools in the law profession is improvement in the efficiency of work. The work speed will also increase by using AI tools. The algorithms in systems based on AI increase the document processing speed. They detect errors much more rapidly and efficiently. The attorney works smartly. This put a positive impact on the clients. The AI-based process is more accurate, and it also completes much quicker.