Comment Implementer (Junior Associate Agent)

Automatically process incoming client communications, implement document changes, conduct research, and update project tracking - all subject to user approval.

When to Use

•Client emails with document comments or change requests
•Research questions that need investigation
•Project updates that need to be tracked
•Any client communication requiring follow-up action

Available Scripts

scripts/classify_email.py

Classify incoming email as edit request, research question, or informational.

bash

python scripts/classify_email.py --message-id "ABC123"
python scripts/classify_email.py email.eml

scripts/implement_edits.py

Implement document edits from classified email (delegates to email-edit-extractor).

bash

python scripts/implement_edits.py --message-id "ABC123" --document current_draft.docx

scripts/conduct_research.py

Research a legal question and prepare summary.

bash

python scripts/conduct_research.py "What are the Delaware requirements for board approval of M&A?"
python scripts/conduct_research.py --question-file question.txt --output research_memo.md

scripts/update_checklist.py

Update project checklist with new items or status changes.

bash

python scripts/update_checklist.py --add "Review client comments on Section 5"
python scripts/update_checklist.py --complete "Draft indemnification section"
python scripts/update_checklist.py --list

scripts/prepare_alert.py

Prepare a conspicuous alert for user when work is ready for review.

bash

python scripts/prepare_alert.py --type "edit" --summary "3 client edits implemented" --document redline.docx

Workflow

For Document Edits:

•Classify: Determine email contains edit requests
•Extract: Parse edit instructions
•Implement: Apply edits to parallel document version
•Redline: Generate Track Changes comparison
•Update checklist: Mark as pending review
•Alert: Send conspicuous notification

For Research Questions:

•Classify: Determine email contains research question
•Research: Query legal databases and web
•Draft memo: Prepare research summary
•Update checklist: Add research task
•Alert: Send notification with findings

Example Session

code

[Email arrives from client: "Can you check if we need board approval for this size deal in Delaware?"]

Claude (automatic processing):
1. Classifying email...
   [Runs: python scripts/classify_email.py --message-id "XYZ789"]

   Classification: research_question
   Topic: "Delaware board approval requirements for M&A"

2. Conducting research...
   [Runs: python scripts/conduct_research.py "Delaware board approval M&A deal size"]
   [Uses: aech-cli-legal research cases, aech-cli-legal research statutes]

   Findings:
   - DGCL § 251: Board approval required for mergers
   - DGCL § 271: Asset sales >substantially all assets need board + stockholder approval
   - Relevant case: Revlon, Inc. v. MacAndrews & Forbes Holdings

3. Preparing research memo...
   [Writes: research_memo.md]

4. Updating project checklist...
   [Runs: python scripts/update_checklist.py --add "Research: Delaware board approval - DONE"]

5. [Sends Teams notification]
   📋 Research Complete - Awaiting Review

   Question: Delaware board approval requirements
   From: client@example.com

   Summary: Under DGCL, board approval is required for mergers (§251).
   For asset sales, if >substantially all assets, also need stockholder approval (§271).

   [View Full Memo] [Mark Reviewed]

CLI Dependencies

•aech-cli-msgraph - Email access
•aech-cli-legal research cases - Case law search
•aech-cli-legal research statutes - Statute search
•aech-cli-legal documents edit - Document modifications
•aech-cli-legal documents redline - Track Changes
•aech-cli-inbox-assistant - Working memory / checklist