Law Firm Agents
Operations & ReportingProposed workflow

Prepare the attorney review queue

Show who needs to review each item, the agreed review date, and what is still waiting.

Tools for the documented steps

These tools support separate parts of the method. The prompt does not connect them or verify a native integration.

Practice relevance

Cross-practice idea · A general operational method. Review the stated tool and jurisdiction limits before use.

The problem

Show who needs to review each item, the agreed review date, and what is still waiting.

Why it matters: Work can sit ready for review while its owner assumes someone else is handling it. A queue with explicit acknowledgment and review dates makes the waiting step visible without treating silence as approval.

Sources & evidence

Proposed / not tested. The public discussion supports the problem; the method source supports only the documented features. No outcome from this adapted recipe has been verified.

What’s been verified

The linked sources support the complaint and documented method components. We have not run this recipe or verified its results. The example below is synthetic, not a customer result.

What to measure: During the pilot, count findings confirmed by the reviewer, false alarms, and missing-input cases. Do not infer time or money saved.

Source checked: October 15, 2026. Pain reports are self-reported and identities are unverified. Method documentation supports components, not a tested end-to-end workflow. We wrote these prompts. The adapted workflow hasn’t been tested.

Suggested approach

Start when: Staff submits a ready-for-review item

  1. maintain owner, explicit review-by date, blocker and acknowledgment
  2. Keep row or page references and mark missing or ambiguous evidence. Do not apply the suggested changes.
  3. The responsible staff member checks the draft against the source records and approves any separate action.

Limits and review

The assistant drafts or reports only. Check source records and review the output before a human performs any separately approved send or change. No automatic legal decision, money movement, account connection or publication is included.

Who reviews it: Attorneys decide priorities and approvals; escalation recipient/cadence explicitly approved. Test that a newly reviewed item leaves the queue and a rejected draft never appears approved.

What you need

Your firm-approved AI assistant · prepared files

  • Clio Manage task access for the selected review work, including authorized visibility of private tasks.
  • Maintained attorney-review requests and a staff-approved escalation policy with conditions, owner and cadence.
  • Firm-approved Excel; optional Copilot entitlement and tenant approval for the exact minimized data. Native Excel analysis can be done manually if Copilot is absent.
  • Keep raw exports and identifying source pointers in a separate restricted location. The AI workbook contains only approved alias-based tables and visible policy/scope text, never raw client records on another tab.
  • Use synthetic inputs first. Keep real data in firm-approved accounts and processing, with appropriate access, confidentiality and retention controls. Aliases alone do not anonymize records. Never paste credentials, API keys or unnecessary client details.

How to use

Documentation-checked proposed route; source collection and human approval required

Before you start
  • The native task export does not establish submitted_at, acknowledged_at, blocker or last_reminder_at. Obtain those from the actual review request and acknowledgment records; absence is unknown.
  • No general-purpose Clio Grow data-query chat is established. This route uses Manage's actual task export; no inferred review deadline or escalation authority.
Check access and setup
  • Actual account access, plan and source-data completeness have not been tested.

  1. Collect the actual task list

    Clio Manage · Tasks > Outstanding (then Completed if required) > Filters > Apply filters > bottom Export > CSV > Export

    Choose the authorized users, matters and date range for the attorney review queue. Include undated tasks when the scope requires them. Export Outstanding and Completed separately; note filters, capture time and visible record count. Use Expand rows or Print task from the task row menu to inspect full instructions where necessary.

    Expected output
    Native task CSV file(s), plus a scope note. Exact CSV headers must be inspected; the kit headers are not promised native fields.
    Next step
    Keep the raw files restricted; prepare the alias-based input in the next step.
    Check before continuing
    Private tasks may be invisible. Task export is only the selected scope; exporting does not prove all review requests or off-system obligations exist here.
    Step documentation 1 ↗Step documentation 2 ↗

  2. Map the observed records to the starter input

    Excel and authorized staff · Separate analysis workbook > Home > Format as Table

    Assign request_id and matter_alias. Copy reviewer_role from the actual assignment; copy decision_needed from the full request. Use the approved review-by instruction, not a legal deadline inferred from a document. For each request, inspect the actual submitted message, acknowledgment and reminder log locally and enter only observed timestamps/status/blocker. In escalation-policy.csv copy the approved rule_id, condition, approved_owner and cadence; include the reviewer cutoff/timezone in Scope. Create named tables for Reviews and EscalationPolicy. Put the policy and review scope in visible worksheets or paste them into the next prompt.

    Expected output
    reviews.csv and escalation-policy.csv in the supplied kit contracts. Keep a restricted source crosswalk from request_id to task/message evidence.
    Next step
    Check the mapping against each original source before using AI.
    Check before continuing
    Aliases and missing policy fields are staff-created; do not relabel a native export as the kit schema. Unknown stays blank/unknown, not false or zero.
    Step documentation 1 ↗

  3. Review the bounded evidence with Copilot

    Excel Copilot, optional · Approved analysis workbook > Copilot icon at lower right > Chat only

    Use Chat only and submit the prompt. Without Copilot: sort by supplied review-by and status, then apply the supplied escalation table row by row.

    Expected output
    Prioritized attorney-review queue and optional rule-supported reminder drafts.
    Next step
    Copy the draft exception list to the reviewer; retain row references.
    Check before continuing
    Check every flagged row and the scope. A fluent answer is not evidence of completeness; no automatic workbook or source-system edits.
    Step documentation 1 ↗Step documentation 2 ↗

  4. Approve the review result

    Final human review

    Responsible staff reviewer · Reviewed local worksheet

    The supervising attorney verifies dates, decision requests, ownership and whether an acknowledgment or reminder occurred elsewhere. Approve a queue and resolve missing evidence before any reminder is sent.

    Expected output
    Approved review queue with unresolved rows preserved.
    Next step
    Any external message, source change, payment or deletion requires its own authorized process.
    Check before continuing
    A task due date is not automatically the approved review-by date; completion and silence are not acknowledgments.
    Step documentation 1 ↗

What you’ll get

review-queue.csv: request_id, reviewer_role, decision_needed, approved_review_by, acknowledgment_status, blocker, source_rows; draft internal digest with no live send. No live changes.

Inputs and a sample test Synthetic example · not a measured result

Input files

  • reviews.csv: request_id, matter_alias, reviewer_role, decision_needed, approved_review_by, submitted_at, acknowledged_at, status, blocker, last_reminder_at. escalation-policy.csv: rule_id, condition, approved_owner, cadence.

Synthetic example

REV1: overdue, unacknowledged
REV2: approved this morning
REV3: rejected, no revised version

Expected output

REV1: review queue
REV2: no open reminder, retain approval record
REV3: rejected, never approved by silence

Test a failure

Attorneys decide priorities and approvals; escalation recipient/cadence explicitly approved. Test that a newly reviewed item leaves the queue and a rejected draft never appears approved.

Try with the sample files

Follow the tool steps above and use the inputs named in each step. Where provided, native-* files are blank scaffolds and NATIVE-INPUT-MAPPING explains their fields. Original examples and the optional full review prompt use a separate prepared-input schema. Keep them separate unless the mapping explicitly connects them. Downloading a kit does not connect accounts or prove the workflow works.

Download inputs and checklist 8 files

Instructions, blank templates and separate synthetic examples; these files do not install an automation. Blank templates still need verified source data.

Optional full review prompt for prepared inputs

Prepared-input review prompt with Your firm-approved AI assistant · prepared files

Proposed / not tested · editorial prompt. This prompt uses the original prepared-input schema shown in the sample test. Step prompts may use different tables. Follow NATIVE-INPUT-MAPPING where supplied; do not mix the original examples with native-step inputs without mapping and checking every field.

Read original method Read pain evidence

Published by Law Firm Agents. These are source-linked editorial adaptations; no end-to-end execution is claimed. Read the plain-text version.