This tool automates large-scale patent analysis, enabling the screening of thousands of searches and documents in about an hour. Typical runs cost approximately $400-500 USD.
Curious about how it works? Here's a glimpse into the key components:
main.py: Main script to run the analysis.modules/: Contains core analysis logic.prompts/: Stores prompts used for analysis (if applicable).utils/: Utility functions.claim_analysis_formatter.py: Formats the output of the claim analysis.generate_report.py: Generates individual reports for each claim set.generate_aggregated_report.py: Generates an aggregated report from individual reports.claim_sets/: Directory intended for input claim sets (should be kept confidential).claim_set_*.txt: Input claim set files (should be kept confidential).output*/: Directories where individual analysis results are stored.report/,aggregated_report/: Directories where generated HTML reports are stored.images/: Directory for images (potentially confidential, depending on content).
Here are some highlights of the analysis tool's capabilities:
Dashboard Overview:
Caption: Get a bird's-eye view: The central dashboard aggregates results from potentially thousands of analyzed claims, instantly highlighting key statistics and trends across the entire dataset.
Example Analysis Entry:
Caption: Deep dive into specifics: Each claim receives detailed scrutiny, as shown in this example entry which includes multi-level classifications and flags potential areas of interest or concern.
Tiered Classifications:
Caption: Strategic categorization at scale: Claims are automatically sorted into tiers based on complex criteria, enabling efficient review prioritization and risk assessment across large portfolios.
Visualizations:
Caption: Unlock insights visually: Interactive charts and graphs condense complex data from extensive analysis, making it easy to spot patterns, outliers, and critical findings within seconds.
Overall Report View:
Caption: Comprehensive reporting, automated: This snapshot showcases the automatically generated report, which synthesizes findings from the entire analysis into a clear, actionable summary for large-scale reviews.
While showcasing the tool's power, we also prioritize responsible data management:
- The
claim_sets/directory,claim_set_*.txtfiles, andimages/directory are included in the.gitignorefile. This prevents them from being accidentally committed to a Git repository. - Do not remove these entries from
.gitignoreunless you are certain the data is not confidential or you intend to share it. - Ensure that any confidential input files (
claim_set_*.txt, files withinclaim_sets/, potentially images) are stored securely and handled according to your organization's policies. - The output directories (
output*/,report/,aggregated_report/) are also ignored by default. Review their contents for sensitivity before sharing or committing.