IAEC DOCUMENT

IAEC System

Preface: Recognition of the Problem

We initially studied AI document drafting technology by focusing on the innovative potential of a method in which artificial intelligence automatically prepares briefs and legal documents.

However, in the course of the research, we confirmed that because artificial intelligence is a technology with autonomy, errors, distortions, omissions, and logical leaps may occur, and that artificial intelligence itself bears no legal responsibility for those results.

Therefore, the method of having artificial intelligence directly draft legal documents entails legal and institutional risks separate from its technical feasibility, and promoting it simply as innovation stems from a lack of structural understanding of AI autonomy.

IAEC System

IAEC DOCUMENT

Accordingly, we changed the research direction from a technology in which artificial intelligence drafts documents on behalf of users to a system that verifies the structure between already existing documents and judgment materials.

IAEC DOCUMENT
IAEC System
Preface: Recognition of the Problem
We initially studied AI document drafting technology by focusing on the innovative potential of a method in which artificial intelligence automatically prepares briefs and legal documents.

IAEC System

The result is the IAEC system, designed in 17 languages and operating for users around the world.

Preface: Recognition of the Problem

Chapter 1: Fundamental Limitations of Artificial Intelligence

We initially studied AI document drafting technology by focusing on the innovative potential of a method in which artificial intelligence automatically prepares briefs and legal documents.

However, in the course of the research, we confirmed that because artificial intelligence is a technology with autonomy, errors, distortions, omissions, and logical leaps may occur, and that artificial intelligence itself bears no legal responsibility for those results.

However, in the course of the research, we confirmed that because artificial intelligence is a technology with autonomy, errors, distortions, omissions, and logical leaps may occur, and that artificial intelligence itself bears no legal responsibility for those results.
Therefore, the method of having artificial intelligence directly draft legal documents entails legal and institutional risks separate from its technical feasibility, and promoting it simply as innovation stems from a lack of structural understanding of AI autonomy.
Accordingly, we changed the research direction from a technology in which artificial intelligence drafts documents on behalf of users to a system that verifies the structure between already existing documents and judgment materials.

We initially studied AI document drafting technology by focusing on the innovative potential of a method in which artificial intelligence automatically prepares briefs and legal documents.

Therefore, the method of having artificial intelligence directly draft legal documents entails legal and institutional risks separate from its technical feasibility, and promoting it simply as innovation stems from a lack of structural understanding of AI autonomy.

1.1 The Two Faces of Autonomy

Accordingly, we changed the research direction from a technology in which artificial intelligence drafts documents on behalf of users to a system that verifies the structure between already existing documents and judgment materials.

The greatest characteristic of artificial intelligence is autonomy.

The result is the IAEC system, designed in 17 languages and operating for users around the world.

However, this autonomy simultaneously becomes the cause of the following structural errors.

However, in the course of the research, we confirmed that because artificial intelligence is a technology with autonomy, errors, distortions, omissions, and logical leaps may occur, and that artificial intelligence itself bears no legal responsibility for those results.

Chapter 1: Fundamental Limitations of Artificial Intelligence

Error: misrecognition of facts and generation of inaccurate information; Distortion: amplification of bias in training data; Omission: loss of important facts or context; Logical Leap: inference lacking logical validity.

1.2 The Gap in Responsibility

The more fundamental problem is attribution of responsibility.

Because artificial intelligence cannot be a subject of legal responsibility, it bears no responsibility even if any error occurs.

1.1 The Two Faces of Autonomy

The result is the IAEC system, designed in 17 languages and operating for users around the world.
Chapter 1: Fundamental Limitations of Artificial Intelligence

This causes a fatal problem in the legal field.

Therefore, the method of having artificial intelligence directly draft legal documents entails legal and institutional risks separate from its technical feasibility, and promoting it simply as innovation stems from a lack of structural understanding of AI autonomy.

The greatest characteristic of artificial intelligence is autonomy.

1.1 The Two Faces of Autonomy
The greatest characteristic of artificial intelligence is autonomy.
However, this autonomy simultaneously becomes the cause of the following structural errors.
Error: misrecognition of facts and generation of inaccurate information; Distortion: amplification of bias in training data; Omission: loss of important facts or context; Logical Leap: inference lacking logical validity.

However, this autonomy simultaneously becomes the cause of the following structural errors.

The efficiency of judgment may increase, but when an error occurs, responsibility is left in a vacuum, and such a structure is incompatible with the rule of law.

Accordingly, we changed the research direction from a technology in which artificial intelligence drafts documents on behalf of users to a system that verifies the structure between already existing documents and judgment materials.

Chapter 2: Change in Research Direction