AI-Powered Case Law Research

Summary:

By leveraging AI and ML, a lawyer could streamline her workload, conduct more accurate research, and ultimately provide better service to her clients. 

Client: 

Renate Walker, Associate in the Labour and Employment Department, Seyfarth Shaw LLP, Atlanta Office.

Problem Statement: 

Legal research, while critical, is time-consuming and demands a precise understanding of relevant statutes, case law, and regulations. This can put a strain on legal teams, especially in high-stakes environments like labor and employment litigation, where time is of the essence.

To streamline her legal research and improve efficiency, Renate sought a tool that would help her find relevant case law and legal precedents faster, while also reducing the margin of error that can arise from manual research. She turned to ROSS Intelligence, an AI-powered legal research platform that uses natural language processing (NLP) and machine learning algorithms.

 

Results: 

  • Reduced time on legal research time.
  • Ability to focus more on strategy and client communication.
  • Access to the most current and relevant case law, reducing the chances of overlooking critical precedents.
  • Improved client confidence and satisfaction.

AI Solution Overview:

ROSS Intelligence is designed to improve the legal research process by enabling attorneys to ask questions in plain English and receive relevant, on-point legal results quickly. It is powered by advanced NLP, which allows users to query the database as if they were asking another lawyer or research assistant. The platform also utilizes machine learning to continuously improve the accuracy and relevance of its search results based on user feedback and case law evolution.

Unlike traditional legal research platforms that require specific keywords or Boolean searches, ROSS enables attorneys to ask questions in a conversational manner, like, “what factors do courts consider in determining whether or not non-compete agreements are enforceable in “X” jurisdiction”. The AI interprets the query and pulls the most relevant case law and statutes.

ROSS’s AI can sift through vast amounts of legal data within seconds, presenting the most relevant cases and documents to Renate. This capability drastically reduces the time spent manually searching through legal databases.

As Renate continues to use the platform, ROSS’s algorithms refine the results based on her previous search patterns and preferences, tailoring future queries to deliver more accurate and specific case law.

ROSS also provides “case-specific” results, highlighting the most relevant parts of a ruling or statute based on the initial query. This feature allows Renate to quickly zero in on critical details that are pertinent to her case.

References: 

  1. A Labor and Employment Lawyer Replaces Westlaw and Lexis for Case law Research. https://www.rossintelligence.com/case-studies/renate-walker
  2. AI Case Study Saturday: AI in Legal Services – ROSS Intelligence. https://www.linkedin.com/pulse/ai-case-study-saturday-legal-services-ross-majury-chartered-mcsi-oztke/

Industry: Legal Services

Vendor: ROSS Intelligence 

Client: Renate Walker, Associate in the Labour and Employment Department, Seyfarth Shaw LLP, Atlanta Office.

Publication Date: 2024