OprivoTech

Interactive case study

Legal Document Classification

Identify legal documents consistently and route them to the correct controlled process.

The workflow detects document type, jurisdiction, parties, sensitivity, and deadlines before assigning the correct legal owner and retention policy.

Interactive case study

Classify an incoming legal document

The workflow detects document type, jurisdiction, parties, sensitivity, and deadlines before assigning the correct legal owner and retention policy.

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Legal document

Mutual confidentiality agreement governed by English law.

Intake

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Type

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Jurisdiction

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Risk

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Routing

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AI analysis
Source
AI analysis
Confidence
Decision

Result

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Illustrative demo only - no real customer data is used.

01

Legal documents arrive through many channels and can be misfiled or reach the wrong reviewer.

Legal documents arrive through many channels and can be misfiled or reach the wrong reviewer.

Inconsistent labels
Missed deadlines
Wrong ownership
Retention risk

02

A controlled five-step workflow

AI assists with analysis while rules and human review control sensitive actions.

Intake

Capture the input and its context.

Type

Extract the information needed for a decision.

Jurisdiction

Validate it against approved rules.

Risk

Choose automation or human review.

Routing

Record the result and notify the owner.

03

Important decisions stay controlled

Validation, confidence thresholds, permissions, and human review prevent unsafe actions.

Data validation
Confidence threshold
Permission checks
Human review
Audit history

04

Expected operational impact

The team handles less repetitive work and focuses on meaningful exceptions.

Faster processing
Consistent decisions
Fewer errors
Clear exceptions
Better audit trail
Visible ownership

Adapt this workflow to your operation

Connect your systems, approved rules, data sources, and review channels.