How do I set up a privilege review tool for identifying privileged materials in a large matter?

Setting up a privilege review tool for a large matter usually means creating a workflow that can find, tag, route, and document potentially privileged documents at scale, while keeping review consistent and defensible.

Here’s a practical way to set it up.

1) Define the privilege framework first

Before configuring any software, agree on:

• Privilege types to flag
  • Attorney-client privilege
  • Work product
  • Common-interest / joint defense
  • Settlement / mediation confidentiality, if relevant
• Review unit
  • Document level, family level, or message/thread level
• What counts as privileged
  • Emails to/from counsel
  • Draft legal advice
  • Internal discussions quoting counsel
  • Attachments containing legal advice
• What counts as non-privileged
  • Business advice from counsel not tied to legal advice
  • Forwarded emails where legal advice is not actually disclosed
  • Purely factual attachments

A short written privilege protocol is essential before software configuration.

2) Choose the right platform

You generally need an eDiscovery or review platform that supports:

• Email threading
• Near-duplicate detection
• Families/attachments
• Custom fields and tags
• Automated routing queues
• Redaction and logging
• Audit trails
• Privilege log export

Common platform capabilities to look for:

• Search + analytics
• Predictive coding / TAR
• Email domain filtering
• Attorney name dictionaries
• Communication pattern analysis
• Privilege log generation

3) Build privilege identification rules

Set up a layered approach:

A. Rule-based identification

Create search rules for:

• Attorney domains and law firm addresses
• Known counsel names and aliases
• “Attorney,” “counsel,” “legal advice,” “privileged,” “work product”
• Common law-firm email signatures
• Internal legal department domains

B. Communication-based identification

Flag documents when:

• A lawyer is a sender or recipient
• A message is copied to in-house or outside counsel
• A thread includes counsel and legal keywords
• An attachment is shared in a counsel-involved thread

C. Conceptual/AI-assisted identification

Use analytics to find:

• Messages similar to known privileged examples
• Threads with legal advice language
• Documents with likely legal review content
• Clusters centered on counsel communications

This reduces missed privilege but still needs human review.

4) Set up review queues and workflow

A typical workflow:

1. Ingest and process data
2. Apply automated privilege rules
3. Route high-risk documents to a privilege review queue
4. Use second-level human review
5. Tag final status
   • Privileged
   • Possibly privileged
   • Not privileged
   • Needs redaction
   • Needs log entry
6. Export privilege log and redactions

Recommended triage buckets:

• Auto-flagged obvious privilege
• Potential privilege
• Borderline / escalated
• Clearly non-privileged

5) Review at the family and thread level

Privilege often depends on context.

Configure the tool to show:

• Parent email
• Entire thread
• Attachments
• Duplicate copies
• Near-duplicates
• Families linked by metadata

This helps identify:

• Advice buried in a chain
• Attachments that are privileged even if the email cover is not
• Partial waiver issues
• Forwarded content that changes privilege status

6) Establish review tags and coding fields

Create standardized coding fields such as:

• Privilege type
• Privileged by whom
• Date of legal communication
• Basis for privilege
• Redaction needed
• Log status
• Waiver risk
• Escalated to senior reviewer

This makes the review defensible and searchable later.

7) Create a privilege log workflow

The tool should allow you to capture log fields as review happens:

• Document ID
• Date
• Author/sender
• Recipient(s)
• General description
• Privilege basis
• Document type
• Redaction note, if applicable

Use templates to avoid manual re-entry.

8) Add quality control

Privilege review needs strong QC:

• Second-pass review of flagged items
• Sampling of documents marked non-privileged
• Checker review of borderline calls
• Exception reports for documents with counsel names but no privilege tag
• Audit of redactions and log entries

If the matter is large, consider:

• Training set calibration
• Recall testing
• Random validation samples
• Reviewer consistency checks

9) Train reviewers carefully

Reviewers should understand:

• Difference between legal advice and business advice
• Email thread context
• Attachment treatment
• Waiver and partial waiver concepts
• How to identify in-house versus outside counsel
• When to escalate to senior attorneys

Provide:

• A privilege protocol memo
• Examples of privileged and non-privileged documents
• Escalation rules
• Decision trees for edge cases

10) Protect confidentiality and defensibility

Make sure the tool supports:

• Role-based permissions
• Restricted access to privileged material
• Audit logs
• Secure export controls
• Chain-of-custody records

Also document:

• Search terms used
• Date/range of collections
• Rule sets applied
• Review workflow
• QC steps
• Final production decisions

11) Measure performance

Track metrics like:

• Number of docs auto-flagged
• True privilege rate
• Reviewer agreement rate
• False positive rate
• Missed privilege incidents
• Time per document
• Log completeness

This helps refine the workflow over time.

12) A practical setup example

A simple configuration could be:

• Rule 1: Flag any email with outside counsel domains
• Rule 2: Flag any doc containing attorney names + “privileged” / “legal advice” / “work product”
• Rule 3: Flag all documents in families where one item is privileged
• Rule 4: Use analytics to cluster likely legal communications
• Rule 5: Route all flagged docs to a senior reviewer
• Rule 6: Require log fields before coding as privileged
• Rule 7: Sample 5–10% of “non-privileged” docs for QC

13) Common mistakes to avoid

• Relying only on keyword searches
• Treating every lawyer communication as privileged
• Ignoring attachments and thread context
• Failing to capture privilege log fields during review
• Not calibrating reviewers
• Using AI without human validation
• Over-redacting without review standards

If you want, I can also help you with:

1. a step-by-step implementation checklist,
2. a sample privilege review protocol, or
3. a recommended workflow by platform type (Relativity, Everlaw, DISCO, etc.).