A judicial analytics tool for Supreme Court Case Precedents

May 2021 | Research Papers

Introduction

Case precedents are needed to back and support case decisions, especially if the circumstances behind the landmark case is similar to the current case being discussed.

Supreme Court Cases

There are Supreme Court Cases available (could be not complete or not updated regularly):

  • LawPhil
  • ChanRobles
  • CdAsia

Related Literature Review

For legal research, there are several avenues that can be considered:
legal research software can, for example, mine archives of legal precedents to find supporting documentation to bolster a legal argument.
A judicial analytics tool can analyze a judge’s past decisions, enabling lawyers to pinpoint the types of arguments a certain judge typically finds most persuasive, how that judge typically rule on certain motions and more.

  • Due diligence – Litigators perform due diligence with the help of AI tools to uncover background information. We’ve decided to include contract review, legal research and electronic discovery in this section.
  • Prediction technology – An AI software generates results that forecast litigation outcome.
  • Legal analytics – Lawyers can use data points from past case law, win/loss rates and a judge’s history to be used for trends and patterns.
  • Document automation – Law firms use software templates to create filled out documents based on data input.
  • Intellectual property – AI tools guide lawyers in analyzing large IP portfolios and drawing insights from the content.
  • Electronic billing – Lawyers’ billable hours are computed automatically.

Industry and Academic Benchmarks

Various companies offer AI solutions on content creation; some of these include:

  • Lexis® and Lexis+™  : Creates texts by analyzing the user input topic, extracting the sentiment and important keywords related to the topic and reconstruct everything into on text. 

(website: http://articoolo.com/)

  • Kira Systems : asserts that its software is capable of performing a more accurate due diligence contract review by searching, highlighting, and extracting relevant content for analysis. Other team members who need to perform multiple reviews of the content can search for the extracted information with links to the original source using the software. The company claims that its system can complete the task up to 40 percent faster when using it for the first time, and up to 90 percent for those with more experience.

(website: https://kirasystems.com/benefits)

  • LEVERTON, an offshoot of the German Institute for Artificial Intelligence, also uses AI to extract relevant data, manage documents and compile leases in real estate transactions. The cloud-based tool is said to be capable of reading contracts at high speeds in 20 languages.

(website: https://leverton.ai/)

  • eBrevia: claims to use natural language processing and machine learning to extract relevant textual data from legal contracts and other documents to guide lawyers in analysis, due diligence and lease abstraction. A lawyer would have to customize the type of information that need to be extracted from scanned documents, and the software will then convert it to searchable text. The software will summarize the extracted documents into a report that can be shared and downloaded in different formats.

(website: https://ebrevia.com/#homepage)

Academic Benchmarks

Identify trademark legal case precedents – Using machine learning to enable semantic analysis of judgments

Charles V. Trappey , Amy J.C. Trappey , Bo-Hung Liu

Department of Management Science, National Chiao Tung University, Hsinchu, Taiwan

Department of Industrial Engineering and Engineering Management, National Tsing Hua University, Hsinchu, Taiwan