Press enter or space to select a node.You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.
Press enter or space to select an edge. You can then press delete to remove it or escape to cancel.
About This Automation
Trust account management requires staff to manually download bank statements, match deposits to client matters, and reconcile balances across multiple systems. Manual reconciliation is time-consuming, error-prone, and creates compliance risk when discrepancies go undetected.
Automation matches incoming transactions to client matters automatically, updates ledger balances in real time, and generates reconciliation reports with flagged exceptions. The result is faster, more accurate trust accounting with reduced manual oversight.
Key features:
Match bank transactions to client matters automatically using transaction details and historical patterns
Flag ambiguous or unmatched transactions for attorney review without blocking the workflow
Update client ledger balances in real time as deposits and disbursements clear
Generate weekly or monthly reconciliation reports comparing bank balance to ledger totals
Identify and highlight reconciliation discrepancies for immediate investigation
Send compliance reports to attorneys with one click
The issues teams report most often with this process
#
Friction point
Companies Report This
1
Manual transaction matching
Staff must cross-check each deposit against client ledgers, a repetitive and error-prone task.
80%
2
Reconciliation gap investigation
Tracing discrepancies between bank and ledger balances consumes significant time.
67%
3
Manual ledger updates
Daily updates to client matter balances are performed manually across multiple systems.
53%
4
Report compilation
Weekly or monthly reconciliation reports require manual data gathering and formatting.
40%
5
Unmatched transaction review
Ambiguous transactions require attorney involvement and manual investigation.
26%
DisclaimerAll data is based on anonymized FullSpec mapping sessions and proprietary industry research. Learn more
Automation readiness
How well-suited this process is for automation
Process Pain Score™Manual reconciliation is time-intensive, error-prone, and creates compliance.
8.3/ 10
AI Fit Rating™Transaction matching and reconciliation are rule-based tasks well-suited to.
8.7/ 10
Automation Lift Index™Automation eliminates the bottleneck of manual matching and reconciliation.
8.4/ 10
Hidden Overhead™Context switching between systems and repeated manual lookups create invisible.
7.1/ 10
How The Automation Works
The full workflow, from trigger to completion.
Press enter or space to select a node.You can then use the arrow keys to move the node around. Press delete to remove it and escape to cancel.
Press enter or space to select an edge. You can then press delete to remove it or escape to cancel.
1. Bank transaction postedtrigger
A new transaction clears in the trust account and is detected by the automation platform via API or webhook.
2. Fetch transaction details
The automation retrieves the full transaction record including amount, date, reference, and any memo from the bank.
3. Match to client matter
The automation analyzes the transaction memo, reference, or amount against known client matters and invoices in QuickBooks to identify the correct client.
4. Update client ledger
The automation creates or updates the corresponding journal entry to credit or debit the client trust ledger.
5. Flag unmatched transactions
If the AI cannot confidently match the transaction, it logs it to a review queue for manual attorney review.
6. Generate reconciliation report
Daily or weekly, the automation pulls the bank balance and all client ledger totals from QuickBooks and generates a reconciliation summary.
7. Send compliance notification
The automation emails the reconciliation report and any flagged items to the managing attorney.
Everything you need to know before mapping this process.
Unmatched transactions are automatically flagged and held for human review by accounting staff or the managing attorney. The automation does not force a match; it surfaces ambiguous items for manual decision-making.