ai-case-analysis

AI Case Analysis

Leverage AI to analyze whistleblowing reports while maintaining strict data privacy and security.

Overview

Disclosurely's AI Case Analysis uses advanced language models to help you:

Identify key issues and patterns
Assess severity and risk levels
Generate investigation recommendations
Draft communication responses
Detect related cases

Privacy First: All AI processing includes automatic PII redaction and data anonymization.

Features

Automated Case Summarization

Extract key facts from lengthy reports
Identify involved parties (redacted)
Highlight critical dates and events
Categorize by issue type (harassment, fraud, safety, etc.)

Risk Assessment

AI analyzes reports to determine:

Severity Score (1-10)
Urgency Level (Immediate, High, Medium, Low)
Potential Impact (Legal, Financial, Reputational)
Recommended Actions

Pattern Detection

Identify trends across multiple reports:

Recurring issues or behaviors
Common departments or locations
Similar complaint types
Temporal patterns (spikes in specific periods)

Investigation Assistance

Get AI-powered suggestions for:

Key questions to ask
Documents to request
People to interview
Evidence to gather

How It Works

1. PII Redaction

Before AI analysis:

Names, emails, phone numbers automatically redacted
Replaced with consistent placeholders (e.g., [PERSON_1])
Addresses and identifying details masked
Financial information protected

2. AI Processing

Report sent to secure AI gateway
Analysis performed on redacted text
No data stored by AI provider (zero retention)
Results returned encrypted

3. Case Insights

AI generates:

Executive summary
Key findings
Risk assessment
Recommended actions
Related cases (if any)

Privacy & Security

Data Protection

No PII sent to AI - All personal information redacted first
Zero data retention - AI providers store nothing
Encrypted transit - All data encrypted in motion
Audit trail - Every AI request logged

Supported Models

We support multiple AI providers for flexibility:

OpenAI GPT-4
Anthropic Claude
Azure OpenAI
AWS Bedrock
Self-hosted models (Llama, Mistral)

Compliance

AI features are designed to comply with:

GDPR (data minimization)
EU AI Act requirements
SOC 2 data handling standards
ISO 27001 security controls

Usage

Analyzing a Report

Open any report in your dashboard
Click AI Case Helper in the sidebar
Select the report to analyze
Click Preview PII Redaction (review what will be sent)
Click Start Analysis
View results in conversational format

Asking Follow-Up Questions

After initial analysis, you can chat with the AI:

"What are the main legal risks here?"
"Who should we interview first?"
"Is this related to case #123?"
"Draft a response to the reporter"

Saving Analyses

All analyses are saved to the case file
Access previous analyses via Saved Analyses dropdown
Delete sensitive analyses if needed

Best Practices

When to Use AI

✅ Good use cases:

Initial case triage
Identifying investigation steps
Drafting communications
Finding patterns across cases

❌ Avoid using AI for:

Final legal decisions (consult counsel)
Disciplinary actions (requires human judgment)
Sensitive political matters
Cases requiring nuanced cultural understanding

Reviewing AI Output

Always review AI suggestions critically:

Verify facts against original report
Consider organizational context
Consult legal/HR for serious cases
Use as a starting point, not final answer

FAQ

Is my data sent to OpenAI/Anthropic?
Only redacted, anonymized text is sent. No personal information leaves your environment.

Can I use my own AI models?
Yes! Enterprise plans support self-hosted models for complete data isolation.

How accurate is the AI?
AI suggestions should be reviewed by humans. Accuracy varies based on report quality and complexity.

What if AI makes a mistake?
Always verify AI output. We're not liable for AI-generated content - it's advisory only.

Can I disable AI features?
Yes. Navigate to Settings > AI to disable analysis for your organization.