Continuity

Introduction The Continuity phase of the EPIC framework addresses one of the most significant challenges in estate planning: plan failure. Despite meticulous drafting and thoughtful implementation, many estate plans fail because future fiduciaries are either unaware of the plan’s existence or do not know how to execute it effectively. Traditional legal plans, written on paper,…

Implementation

Introduction The Implementation phase of the EPIC framework is a crucial step in ensuring that an estate plan is not only created but also effectively put into action. This phase focuses on disseminating the plan, educating younger family members who will act as fiduciaries, and establishing a robust family governance system. It bridges the gap…

Property and Investic Provisions

Introduction LegalEdge Innovators recognizes the limitations of traditional estate planning in providing adequate guidance to fiduciaries, particularly those chosen from within the family who may lack legal or financial expertise. Traditional estate planning documents often rely on outdated, boilerplate trustee powers and administrative provisions that fail to reflect innovations in financial services, new investment products,…

Essential Documents

Introduction Welcome to the Essential Documents guide. This section explains how our drafting app simplifies the creation of vital legal documents by leveraging client input through an online form. With our proprietary legal algorithm, these inputs are transformed into variables that determine one of seven planning profiles. Each profile dictates the necessary legal documents and…

oung woman contemplating with the question 'Can AI reason like a lawyer?
Evaluating AI Models for Legal Reasoning: How do Large Language Models Stack up

In a comprehensive evaluation of AI models for legal reasoning, we compared the proprietary models ChatGPT-4o and Gemini Flash against the open-source model Llama 3. The evaluation involved complex legal scenarios to test the models’ abilities in issue spotting, tax calculations, and estate planning. ChatGPT-4o demonstrated stellar performance, accurately identifying and analyzing all 10 issues presented. Gemini Flash, while competent in some areas, showed notable shortcomings in handling nuanced legal concepts, highlighting the need for further improvement through techniques such as Retrieval-Augmented Generation (RAG) and fine-tuning. Llama 3 showed potential but lagged behind in depth and accuracy. This study underscores the critical role of issue spotting in legal analysis and the potential for AI models to assist in this domain, with proprietary models offering more robust support and performance compared to their open-source counterparts.