Concept Clustering
Department of Veterans Affairs · OIT: Office of Information & Technology
Overview
- Development stage
- DeployedSource: c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
- High-impact designation
- High-impactSource: a) High-impact
- Impact justification
- Not reported
- Start date
- Not reported
- Withheld from public reporting
- Not reported
Mission
- Topic area
- Administrative Functions
- Operational functions
- FOIA and records management Derived by keyword rules; see methodology
Problem the AI is intended to solve
Electronic discovery (e-discovery) refers to discovery in legal proceedings such as litigation, government investigations, or Freedom of Information Act (FOIA) requests, where the information sought is in electronic format. As data volumes and the number of civil cases continue to rise, so does the need tools to help government agencies manage electronically stored information used for discovery for litigation, investigations, and FOIA requests. This AI model analyzes the content of documents to identify contextually similar clusters of text. It groups similar documents automatically to reveal themes, without predefined keywords. Runs once on workspace text and metadata to group documents by similarity. No external data or ongoing training.
Expected benefits
The expected benefits include reduced manual effort in organizing and identifying related documents, streamlined information retrieval, and improved efficiency for VA staff. Emphasis is placed on cost savings through reduction of labor-intensive processes, while also enhancing user experience by improving search and discovery.
System outputs
Identified Cluster groups
Technology
- AI classification
- Classical / predictive MLSource: Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relatio…
- System name(s)
- Not reported
- Custom-developed code
- Yes
- Public source code
- Not reported
Sourcing
- How it was built
- Purchased from vendorSource: a) Purchased from a vendor
- Vendor (as reported)
- Not reported
- Vendors (standardized)
- None on the standard list
A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.
Data and privacy
- Involves PII
- Not reported
- Privacy Impact Assessment
- Not reported
- Authorization to Operate
- Not reported
- Demographic features
- Not reported
- Training and evaluation data
- Not reported
- Federal Data Catalog
- Not reported
Governance
0 of 8 minimum-practice questions answered. A blank answer means the agency reported nothing; it does not mean the practice is absent.
Potential impacts and how they were identified
Not reported