AI Script Clearance Workflow for Entity Identification and Search

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Solution Overview

Problem

The manual process of identifying and clearing entities in scripts for legal clearance is time-consuming and prone to errors, particularly in the entertainment industry, where script clearance reports are required for errors and omissions insurance, and the process involves varying clearance searches based on entity characteristics and contextual features.

Innovation Solution

Applying artificial intelligence models to automatically identify script elements, generate segments, and extract entity characteristics, followed by user feedback and execution of clearance searches based on entity type, thereby reducing manual effort and improving accuracy.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If manual entity identification and clearance searches are performed, then comprehensive legal clearance can be achieved, but the process becomes time-consuming and labor-intensive

Engineering Contradiction:
Improvecomprehensive legal clearanceVSAvoidtime-consuming process
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the script into multiple sections or scenes, and processes each segment separately through the AI model. This allows the comprehensive clearance process to be divided into manageable units, improving efficiency while maintaining thoroughness in identifying entities across the entire script.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent replaces the manual mechanical process of entity identification and clearance searching with an AI-based automated system. The AI model automatically identifies entities, extracts characteristics, and performs clearance searches, substituting human labor with intelligent automation while maintaining comprehensive coverage.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If manual entity identification is performed, then entity characteristics can be extracted, but the process is prone to errors and inconsistencies

Engineering Contradiction:
Improveentity characteristics extractionVSAvoidprone to errors
Core Design Contradiction:
Measurement precisionVSReliability

Solution Approach 1:

The AI model performs self-service by automatically identifying entities and extracting their characteristics without human intervention. The system uses predefined criteria and algorithms to consistently extract entity attributes, eliminating human error and ensuring reliable, repeatable results across different scripts and users.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system incorporates feedback mechanisms where the AI model's entity identification and characteristic extraction results can be reviewed and refined. This feedback loop ensures high precision in entity characteristics extraction while maintaining reliability through continuous improvement and validation.

Inventive Principle:
Principle #23Feedback

3Reliability

If comprehensive entity identification is performed across the entire script, then all clearable entities are captured, but the computational resources and processing time increase

Engineering Contradiction:
Improveall clearable entities capturedVSAvoidcomputational resources
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The script is divided into segments that can be processed independently by the AI model. This segmentation reduces the computational burden on any single processing instance while ensuring all entities are captured across the entire script through systematic coverage of all segments.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The AI model performs entity identification with appropriate depth and detail for each entity type, avoiding unnecessary processing while ensuring all clearable entities are captured. The system applies targeted analysis based on entity characteristics, performing sufficient action to ensure completeness without excessive computational overhead.

Inventive Principle:
Principle #16Partial or excessive action

Data Source

PatentUS20260010965A1Script clearance systems, and methods of providing thereof
Publication Date: 2026.01.08 NO CONFLICT CLEARANCE CO INC THE
  • US20260010965A1 patent drawing
  • US20260010965A1 patent drawing
  • US20260010965A1 patent drawing

AI summary

A system and method for applying one or more artificial intelligence models to analyze a script for legal clearance are disclosed. The method involves automatically identifying one or more script elements within the script; generating one or more script segments from the one or more script elements; for each script segment, operating the one or more artificial intelligence models according to an entity identification prompt to automatically identify one or more entities within the script segment; generating a set of entities from the one or more entities; defining a characteristics prompt for each entity; for each entity, operating the one or more artificial intelligence models according to the associated characteristics prompt to automatically extract the set of entity characteristics; displaying an interactive script; receiving a user feedback; and in response to an approval from a user, executing a set of clearance searches for each entity according to the entity type.