DOI · DOI-0170 · record R2593

Everlaw AI Assistant for Responsive Review

Department of the Interior · OCIO

Overview

Development stage: PilotSource: b) Pilot – The use case has been deployed in a limited test or pilot capacity.
High-impact designation: Not high-impactSource: c) Not high-impact
Impact justification: Not reported
Start date: 2025-09-25 (day precision)Source: 9/25/2025
Withheld from public reporting: NoSource: a) No

Mission

Topic area: Administrative Functions
Operational functions: Risk scoring and triage Derived by keyword rules; see methodology

Problem the AI is intended to solve

Everlaw AI Assistant’s Coding Suggestions lets OTAR and DO set natural-language criteria (case, category, and code descriptions) to assess document responsiveness. By tagging documents using keywords, account numbers, and contextual clues, it reduces manual review and speeds document triage

Expected benefits

Reduced manual labor cost and cycle time for responsive review; more consistent and rapid identification of responsive documents; meet discovery deadlines; large scale document search; and improved classification for historical accounting.

System outputs

The AI assistant provides one of four coding suggestions: Yes (direct match), Soft Yes (plausible relevance), Soft No (weak relevance), or No (not relevant). DOI reviewers can filter by category, validate samples, and refine code descriptions. Output is advisory; reviewers decide whether to apply the ‘Responsive’ code.

Technology

AI classification: Agentic AISource: Agentic AI: AI systems that perform tasks or make decisions autonomously with minimal human intervention.
System name(s): Not reported
Custom-developed code: No
Public source code: Not reported

Sourcing

How it was built: Contract and in-houseSource: c) Developed with both contracting and in-house resources
Vendor (as reported): Everlaw, Inc.
Vendors (standardized): Everlaw

A vendor is the supplier named by the agency. It does not identify the underlying model or AI technology.

Data and privacy

Involves PII: Yes
Privacy Impact Assessment: Not reported
Authorization to Operate: Yes
Demographic features: k) None of the above
Training and evaluation data: digitized documents such as contracts, account records, correspondence, and financial records
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.

Pre-deployment testingNo answer reported

AI impact assessmentNo answer reported

Independent reviewNo answer reported

Ongoing monitoringNo answer reported

Operator trainingNo answer reported

Fail-safeNo answer reported

Appeal processNo answer reported

User and public consultationNo answer reported

Potential impacts and how they were identified

Not reported