AI for Legal Text Analytics

Algoscale

Algoscale

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The dawn of Artificial Intelligence has marked a watershed in human lives. The laborious and hectic tasks which used to take valuable time off of the workers can now be utilized in more productive matters. The speed and accuracy have quadrupled with the advent of AI which is gaining more attention from business to legal and from health to education sectors. Machine learning and AI enhance the intelligence and capabilities of a system by making it more sensitive to data. By providing the best solution and aiding in analyzing the humongous data, AI has created harmony in our lives.

 

Is AI a game-changer?

Being able to transform every field and walk of life, AI is a multi-faceted tool that helps to integrate data, analyze information, and utilize the options to enhance the power of decision-making. In Legal text analysis, Artificial Intelligence has paved the way toward efficiency, accuracy, and productivity.

 

Text Mining

Text mining and AI go hand in hand and are an integral part of legal text analytics. It is a process aimed at the scrutiny of a large collection of data to obtain a specific piece of information. Text mining is the ideal way to convert unstructured data into suitable structured data fit for artificial intelligence algorithms and tools.

  • Identifies the facts and figures in data buried from a human eye.
  • Traces relationships and assertions from a textual document.
  • Applies multiple tools for text analysis such as Natural Language Processing (NLP).

 

Let’s Talk about NLP!

Natural Language Processing or NLP is revolutionary. Natural Language Processing helps the system to read the text by imitating the person’s ability to understand and grasp the natural human languages such as English, Arabic, or Chinese. Natural Language Processing encompasses Natural Language Understanding and Natural Language generation. It emulates how humans may speak, deduce knowledge, and participate in conversations. Through NLP, a computer gets a soul to segregate and generate human language through the data.

 

NLP benefits utilized in Tools

Natural Language Processing when combined with tools for a computer helps to perform a plethora of tasks. NLP is the most useful algorithmic tool since it deals with how a computer learns to understand a situation and find a solution. It can track, tag, and search a particular document or a specific area of it. For instance, by focusing on a search from a reference section, noise can be eliminated. So where can we use Natural language processing for the analysis of a legal text? 

 

NLP’s real-life examples

Here are some of the most wonderful and practical examples of NLP

  • Information retrieval
    The appropriate information is retrieved and a relevant and similar result is put together for accuracy. Google search engine is the perfect example of it. 
  • Text Simplification
    The hefty and lengthy text can be analyzed and simplified for better understanding through machine learning and artificial intelligence. NLP helps to convert very difficult and long paragraphs into simple sentences and takes the gist out for better understanding. The book texts can be summarized easily under this tool. 
  • Natural Language Generation
    The text can be generated from legal images or video data. The tool lets the user extract the important information from media and narrate it in words for better understanding.

 

Technology-Assisted Review (TAR)

Technology-Assisted Review or TAR is yet another breakthrough in the field of machine learning and Artificial Intelligence. AI is reinvigorating efficiency and accuracy in law practice with the use of such tools as TAR.

 

What is TAR?

The tool has an AI algorithm that harnesses the ability to evaluate and review electronically stored information (ESI). More often called predictive coding, computer-assisted review, and supervised machine learning, the tool is at the pinnacle of reliability. It is a tool that brings efficiency and cost-saving into the equation of law text analysis. It can classify scores of large volume legal text without any delay. The algorithm of the tool, which is utilized by attorneys and legal teams, theoretically resembles a human examination of the document. The tool accesses the document and makes a reasonable and effective workflow; and carries the reviewing process beyond human capability.

 

TAR Benefits

Here are some of the advantages of using TAR in legal text reviewing and analysis.

  • Minimum Threshold
    TAR can prioritize the information and hence can take the most accurate and relevant information out of the huge data. It, as a result, makes the process go faster and more efficient.
  • Eliminate SMEs
    It helps to save costs by eliminating the role of subject matter experts. Usually, the cost of hiring one makes a dent in one’s pocket but TAR saves that money. TAR itself can create a workflow to analyze the data that is free from any error which otherwise can be a possibility with a human SME.
  • First, pass review
    TAR relies on the metrics of precision and recalling for the result’s validation. When there is no relevant document or very less required information in a text, the process is conducted very quickly.
  • Diminishes complexity
    By diminishing the complexity of a text reviewing process, TAR can hold the ground for eliminating barriers to entry. Along with this, TAR is user-friendly and effective. It promises efficient results without any time wastage.

 

Real-life examples

The following are practical examples of TAR.

  • Everlaw
    It is legal law firm e-discovery software that is utilizing TAR technology to review its client’s texts. IT can evaluate and assess thousands of emails and trace out the relevant information.
  • Kira
    Kira also analyses, searches, and reviews the documents imported and provides an efficient working result.

 

BERT AI Algorithm

BERT, or Bidirectional Encoder Representations from Transformers, is used by Casetext. It is an advanced AI algorithm that helps to create the best legal research and document in a short period. The innovative and productive AI algorithm can use a transformer which is an attention work process. It learns the contextual bonds between the words of the text via an encoder and a decoder.

 

Benefits of BERT

Here are some of the benefits that the BERT AI legal text analyzer gives to the users.

  • Model performance
    BERT has a much better model performance than any other AI algorithm over legal methods. 
  • Greater range
    It can process and analyze a larger amount of document data and provide a quick accurate result.
  • Adaptability
    The algorithm can adapt and tune its capabilities to the data given in any specific language and problem at hand.

 

Real-life example

The best example where BERT is being utilized is the Casetext law firm.

  • Casetext
    It is a law firm that is using the BERT AI tool in multiple ways. It has a research and parallels search purpose that generates an affordable and effective transformer model. The parallel search uses sentences to find the matching concepts. It then composes the data into a well-defined structured document that is user-friendly.

 

The bright future

The future seems to be brighter than ever. The legal research, litigation strategy, Ediscovery, Online legal services, Contract review, and many more aspects will continue to improve. AI algorithms used in legal law text analysis aim to provide complete accuracy and efficiency with nil human interaction or intervention under the cost-effective bracket. So the future is laden with new opportunities and a door open to newer tools and more productive algorithms.