Revolutionizing Litigation with AI: Insights from Predicta’s CEO

Discover how legal AI like Pre/Dicta revolutionizes litigation predictions with advanced legal analytics and forecasts.

Bim Dave is a seasoned expert in legal technology, boasting over 20 years of experience in the industry. His extensive background spans technical support, team management, and global technical services delivery. Currently serving as EVP at Helm360, Bim has a proven track record of driving quality and customer satisfaction, making him an ideal voice on the implications of legal AI and analytics in the legal profession.

As the EVP at Helm360, Bim oversees products and services including AI chatbots and data discovery tools. His previous roles at Thomson Reuters further cement his expertise, where he managed global technical services and led innovative projects in legal software. Bim’s passion for customer service and deep technical knowledge make him a leading authority on legal AI and its transformative potential.

Podcast Summary

Dan Rabinowitz, co-founder of Predicta, discusses the transformative impact of AI-powered litigation prediction tools on the legal industry. Predicta leverages behavioral analytics and extensive datasets to provide 85% accuracy in predicting motion-to-dismiss outcomes, focusing on judicial behavior rather than case facts. This innovative approach empowers lawyers to make informed decisions about motion strategy, settlement timing, and litigation costs. By offering insights into judge-specific patterns and case timelines, Predicta helps law firms optimize litigation strategies and resource allocation, leading to improved client outcomes.

Rabinowitz highlights the benefits of AI in addressing inefficiencies and opacity in the legal field. He emphasizes Predicta’s role in budgeting, cost forecasting, and managing litigation risks. With its intuitive interface and ability to account for judicial and case-specific variables, Predicta is reshaping how law firms approach case strategy, making AI an indispensable tool in litigation.

Listen Here: https://helm360.com/tlh-ep-31-how-ai-in-litigation-will-transform-the-legal-industry/

Introduction and Guest Background 0:03

Bim Dave: Dan, hello Legal Helm listeners. Today, I am delighted to be speaking with Dan Rabinowitz, CEO and co-founder of Pre/Dicta, an AI-powered litigation prediction software.

  • Introduction of Dan Rabinowitz, highlighting his roles at the US Department of Justice, a Washington, DC-based data science company, and WellPoint Military Care.
  • Brief overview of Pre/Dicta and its capabilities in predicting case outcomes and motions to dismiss.

Dan’s Journey to Pre/Dicta and Interest in AI for Legal Prediction 1:16

Dan Rabinowitz: I began my career as an associate at a large law firm and was tasked with predicting a judge’s ruling on a motion to dismiss in a product liability case.

  • Challenges faced in using traditional methods to predict outcomes.
  • Realization of the lack of transparency in the judicial process and the potential for using AI and data science.

Concept of Using AI and Behavioral Analytics in Legal Predictions 5:56

Dan Rabinowitz: When it comes to judicial decisions, our analysis showed that patterns can be discerned by AI, not by humans.

  • Introduction to the idea of using behavioral analytics to understand judicial behavior.
  • Comparison to predictive capabilities of Google or Netflix.

Data Points and Accuracy of AI Predictions 8:28

Bim Dave: Fantastic, that’s really, really interesting. Are you able to elaborate on some of the other data points?

  • Explanation of biographical characteristics and proprietary data used in predictions.
  • Emphasis on 85% accuracy in predicting motions to dismiss without considering the facts of the law.

Impact on Litigation Strategies 9:56

Bim Dave: Got it, excellent. How are you seeing lawyers that are currently using Pre/Dicta’s insights inform their litigation strategy today?

  • Discussion on how Pre/Dicta informs litigation strategies from both plaintiff and defense perspectives.
  • Examples of strategic decisions influenced by AI predictions, such as motions to dismiss and class certification.

Strategic Benefits and Cost Management 15:06

Bim Dave: The cost management piece must be a real differentiator.

  • Discussion on how Pre/Dicta helps in forecasting costs and managing litigation budgets.
  • Explanation of how attorneys can use AI predictions to make informed decisions on settlement offers and litigation strategies.

AI Bias and Ensuring Fairness 21:53

Bim Dave: We can’t talk about AI without talking about AI bias in legal predictions.

  • Explanation of how Pre/Dicta addresses AI bias by using massive data sets and independent testing.
  • Importance of backtesting and forward testing for consistent accuracy.

Overcoming Resistance to AI in Law Firms 24:23

Bim Dave: Are you seeing any resistance to getting into a law firm and presenting a solution that is AI-driven?

  • Addressing the conservative nature of law firms and skepticism towards AI.
  • Explanation of how Pre/Dicta’s accuracy and user-friendly interface help overcome resistance.

Practical Integration and Usability of Pre/Dicta 29:35

Bim Dave: Can you talk us through what it takes to actually get started on the platform and how easy it is to adopt for a law firm?

  • Details on the cloud-based nature of Pre/Dicta and the intuitive design for ease of use.
  • Mention of quick training time and customizable report exports.

Future of AI in Law Firms Beyond Litigation Prediction 31:24

Bim Dave: Looking ahead, where do you see AI playing a role in law firms beyond litigation and litigation prediction?

  • Dan discusses the potential for AI to create efficiencies in repeatable tasks.
  • Insights on entering new areas of law that were previously limited by human capacity.
LinkedIn
Facebook
Twitter
Reddit
X
WhatsApp
Email
Print

Leave a Reply