How 20 Minutes a Day Can Transform Your Firm's Bottom Line

In our State of Work Report, we analyzed the work patterns of more than 2,000 professionals. What we found was not a performance issue, but a structural visibility gap embedded in how modern professional work unfolds.

The average professional in our study works 55 hours per week, yet submits only 39.5 hours to timesheets. Nearly 30% of total working time never enters a billing system.

Around 11% of those unsubmitted hours represents work that should be billed. That's roughly 20 minutes daily of genuinely billable activities that disappear from revenue capture. The remainder consists of essential business infrastructure: training, business development, interviews, compliance activities, and coordination tasks that enable service delivery.

Over the course of a year, the impact compounds. Twenty minutes per day across 250 working days at a $400 average rate equates to $26,000 per professional annually. For a 100-person firm, that represents $2.6 million in unrealized revenue. 

Why Billable Work Disappears

Work happens in scattered moments that manual time tracking wasn’t designed to capture, including urgent emails answered between client calls, quick research before meetings, and document reviews squeezed into transition moments. 

At the end of the day, after dozens of context switches, professionals face an impossible cognitive task: reconstructing what they did, for whom, and for how long. Across 40–60 micro-tasks daily, accuracy deteriorates. 

The pressure to appear efficient makes it worse. When work takes longer than expected, many reduce their entries rather than record the full time spent, absorbing costs the firm should bill or price accordingly. Our data shows this pattern is widespread and represents a major source of revenue leakage.

What Does This Cost Beyond Revenue

When 30% of work time goes unrecorded, what happens to your business decisions?

Profitability analysis becomes distorted 

Engagement-level profitability may appear weaker than it truly is, leading firms to deprioritize service lines or adjust pricing based on incomplete cost visibility.

Capacity planning rests on flawed assumptions 

If utilization data shows 40 billable hours but professionals work 55 total hours to produce that output, your capacity assessments are fundamentally flawed. You can't accurately determine hiring needs, workload capacity, or where bottlenecks exist.

Pricing models systematically underestimate delivery cost
When substantial portions of work go untracked, margins compress gradually and invisibly.

Performance management becomes reactive
If junior professionals reduce recorded time, leaders cannot distinguish between inefficiency, scope creep, or structural process issues.

How Automated Time Tracking Solves the Billable Hours Problem

Manual time tracking made sense when work happened in predictable blocks. But legal and accounting work today is fragmented across multiple clients, communication channels, and work types, switching dozens of times per hour.

Time intelligence platforms capture work activity as it happens by analyzing application usage, document interaction, and communication patterns to generate accurate, reviewable time entries. The technology identifies client-related activities across channels and creates time entries without manual input.

Firms transitioning from legacy timekeeping to AI time platforms like Laurel recover, on average, 28 minutes of previously missed billable time, reclaiming $37,000 annually per professional. 

After Tonkon Torp LLP implemented Laurel, their attorneys recorded an additional 21 billable minutes per attorney daily, resulting in $20,000 in additional annual revenue per attorney.

Why Accurate Time Data Matters for Your Firm's Strategy

Firms are making decisions about pricing, capacity, hiring, and practice development based on data that captures only 70% of actual work, leaving the remainder in a strategic blind spot.

As pricing models evolve beyond hourly billing and clients demand greater transparency, understanding the true cost of service delivery isn't optional. Alternative fee arrangements require accurate data about how long work actually takes, not estimates based on incomplete capture.

As Chris Gallo, a partner at a top-50 accounting firm, discovered after implementing Laurel:

"We found some engagements used hundreds more hours than initially scoped—yet we still charged only for the assumed workload. For the first time, we could see data across multiple service lines and pull it into one snapshot."

That visibility became vital for capacity planning, billing conversations, and resource allocation. More importantly, it revealed where the firm was leaving money on the table and where internal processes needed improvement.

Beyond Billable Hours: The Automation Opportunity

Complete work visibility from automated time tracking reveals operational improvements beyond recovering lost billable time:

• Automate routine work: Compliance checks, standard document generation, preliminary research
• Systematize repetitive tasks: Create templates and procedures that reduce the time required
• Delegate effectively: Ensure work happens at the appropriate level
• Price accurately: Recognize activities that consistently take longer than estimated

As AI capabilities expand, the ~30% of non-billable infrastructure work becomes a prime target for optimization. But you can't optimize what you can't measure.

Calculate Your Opportunity

The financial impact is straightforward to estimate. Multiply the number of fee earners by $26,000 to approximate the annual revenue currently lost to unrecorded billable work.

This estimate does not account for the broader benefits of complete work visibility, including improved pricing accuracy, capacity planning, and operational decision-making.

Firms that solve the time intelligence challenge gain a decisive advantage: accurate pricing, optimized capacity, and the data foundation needed to deploy AI strategically across their operations.

Download the full report: The State of Work — Get all the data, insights, and strategic implications from our analysis of 2,000+ professionals.

This post is part of our Work Intelligence series, exploring data-driven insights from analyzing work patterns across 2,000+ professionals in professional services firms.