One of our core methodologies involves reverse engineering the target product, employing techniques like teardown analysis or thorough software code reviews. By dissecting the intricacies of the target product, we gain valuable insights that enable us to strengthen claim charts and provide robust support for our client's legal arguments.
We leverage our proprietary LLM based auto analyzer to identify documents with source code, code language, intent, and logic, thereby accelerating the segregation and analysis of documents.
Our Solutions
Source code examination
Source code comparison
Reverse engineering
Open-source exam
Al risk assessment
Patent infringement contentions
Prepare exhibits for expert reports
Refine technical arguments
Code theft
Contract disputes
Why Us?
LLM Auto-Analyzer
Identifies documents with source code, code language, intent, and logic
Accelerates segregation and analysis of documents
Improves review efficiency
Ensures data privacy and security
Domain expertise
Social media
Finance
Automotive
Crypto
Cybersecurity
Semiconductors
Embedded / IoT systems
Case types
Patent infringements
Copyright infringements
Trade Secrets
Multidisciplinary teams
Scalable on demand
Experts in unique domains
Paired-programming approach
Trained team
Our Approach
Pre-infringement / Patent infringement
Pre-analysis Due Diligence
Understand client's product / patents / other related IP
Understanding the accused product
Extract overlapping feature sets for both the product (feature mapping)
Software Architecture Analysis and Reverse Engineering
Analyze and create a list of software functions relevant to the client's IP
Analyze function calls and orders
Understand user stories of the product
Create a flow diagram of the software based on function calls
Reverse Engineering and app teardown analysis
Claim Mapping
Analyze and compare software flow and function calls with patent claims or client's IP
Support evidence with technical documentation and academic theories
Perform product testing or debugging to fill the gaps
Develop test workflows to validate the functionalities of the different objects / functions of the software in comparison to patent claims
EoU Report and Quality control
Create Evidence of Use report
Review by a senior member or attorney to validate the claim charts
Source Code Review: eDiscovery & Document Review
Tech * (Attorneys + Software Engineers + IP Experts) = Source Code Analysis Litigation Support * Rigour
Segregate
Understand matter and product feature(s)
Identify document types with source code:
File extensions
Regular expression analytics
Identify relevant documents by key search terms
Assign domain experts based on file types / software
Analyze
Programming languages
Features related to specific application
Open-source code
Third party source code
Libraries with external dependencies
Compare source code
Version comparison, meta-data comparison, error reports generated at the time of code creation using external tools
Review and Tag
Review of segregated cohorts
Review Chain of Custody (CoC)
Create timeline analysis
Quality Control
10% stratified random sampling
100% of the file extensions where source code was likely
15% random sampling of other file extensions
Large Language Model (LLM) Auto-Analyzer
Pre-Process
Ingest > Transform
Identify relevant documents by key search terms, assign domain experts based on file types / software
LLM
Detect Code > Tag
Trained on licensed data, 80 coding languages
Human Review
Prioritize > Categorize
Based on case protocol
Output
To native app with data encryption and access controls
