Uncovering the Paradox: The Gap Between Tech Costs and Performance
Over the past decade, technology investment in law firms has accelerated. Legal tech spending is expected to reach 6.1% of total revenue in 2024 - 2025, up from 5.7% in 2023- 2024.
This gap between technological capability and actual performance is the heart of the paradox. The expectation is simple: better systems should lead to a stronger bottom line, after all this is often the basis of the business case for the investment. But in practice, the return on these investments hinges on their operational environment. Systems are implemented into organisations where the underlying processes are outdated, responsibilities are unclear, and teams operate in functional silos. Technology can automate, accelerate or simplify, but it doesn’t redesign the business model that surrounds it.
You see this in small but telling examples across firms:
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Finance systems that technically work, but for most of the year don’t reflect the “real” financial position because upstream processes haven’t changed.
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Onboarding journeys that remain slow and error-prone, not because the software is wrong, but because the handoffs, ownership and decision points around it never shifted.
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CRM systems that hold incomplete or inconsistent data, because the behaviours required to input and maintain them weren’t strengthened and the process wasn’t redesigned.
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Increasing strain on working capital
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The level of write-offs
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Lawyer utilisation on the decline
These are not isolated frustrations. They’re symptoms of a wider dynamic: the industry often treats technology as the remedy, rather than as one component of a much broader operating model.
When a firm says, “Our onboarding is broken, we need new onboarding tech,” it’s typical to find the underlying assumption is that the software is the source of the problem. But the question should be, “what in our end-to-end process is creating friction, and how should technology be configured to support that?”. From the moment an initiative is identified, any assumption that technology needs to be replaced must be challenged. Without this shift, new tools simply automate old issues, and the paradox persists.
Disconnected Teams, Disconnected Outcomes
Legal work is inherently cross-functional, work flows horizontally through a firm and not vertically: lawyers, finance, risk, BD, HR and operations all play a role in the lifecycle of a matter.
But many implementations occur within the boundaries of a single function, with limited consideration of how the surrounding teams will need to work differently to make the most of the new tools. As a result, systems often end up reinforcing legacy behaviours rather than shifting them.
One of the most consistent reasons technology underperforms in law firms is that it’s implemented without rethinking how people, processes and teams actually work together. We’ve gathered the functional and non-functional requirements, so the assumption is a new system will “slot in” and naturally improve the way work flows. In reality, it often exposes how fragmented the underlying operations already are.
For example, a matter intake system may capture the right information, but if Partner engagement remains inconsistent, or upstream data from CRM is poorly curated, or downstream teams still rely on informal workarounds, the system alone cannot improve outcomes. A new finance platform may introduce better capability, but if time entry behaviours don’t change, month-end reporting will continue to require manual intervention. Technology can provide structure, but it cannot compel alignment.
Underlying all of this is a simple truth: systems don’t create operating models. This lack of integration between human habits, process design and operational ownership is one of the core drivers of the performance paradox. Even well-implemented systems fail to translate into measurable gains when the organisation around them stays structurally the same.
Leadership fragmentation and internal politics
Another major contributor to the performance paradox is the way leadership responsibilities are structured within many firms.
Technology may be implemented centrally, but its success depends on coordinated action across functions, practice groups and senior stakeholders who don’t always share the same priorities, or incentives.
In most firms, no single leader is accountable for decisions relating to end-to-end performance. Responsibility is distributed across partners, business services functions, and transformation committees, each with legitimate interests but often competing perspectives. When technology change requires shifts in behaviour, ownership or process, this fragmentation becomes a barrier. Decisions take longer, consensus is harder to reach, and difficult choices, the ones that unlock real value, can be deferred indefinitely.
Against this backdrop, internal dynamics inevitably play a role. Different groups advocate for different solutions. Budgets sit in different places. Senior stakeholders may have varying levels of appetite for change, depending on how it affects their teams, their clients or their autonomy. Even when intentions are aligned, the practical ability to drive a consistent operating model across the firm can be limited.
This environment creates a predictable outcome: firms make significant investments in systems but struggle to mobilise the organisation around the changes required to realise value.
The Vendor Blind Spot: Features Sold, Solutions Unfinished
Technology vendors play an important role in modernising the legal sector, and many of the tools now available are genuinely impressive. But even the best platforms can only deliver value within the context they are placed. This is where expectations and reality drift apart.
Vendors are naturally focused on the capability of their products. What they cannot fully account for is the organisational change and adoption required for those capabilities to translate into tangible improvements. When firms hear about the outcomes a system can enable, it’s tempting to assume those outcomes will materialise simply by getting the technology (integrated, trained, tested) live.
In practice, implementation projects tend to prioritise configuration, data migration and deadlines. Less time is spent on redesigning operating models, aligning decision rights, or building the behavioural foundations needed for new tools to take root. The focus becomes “going live,” not “realising value,” because that is how success is most commonly defined.
There is also a broader market dynamic at play. The pace of innovation, particularly around AI, has created a ’fear of missing out’ mentality across the sector. Firms worry about falling behind, or missing a window of opportunity, and this can lead to technology decisions being made faster than the organisation can realistically absorb.
Taken together with the human, process and leadership factors outlined earlier, this dynamic reinforces the performance paradox: firms invest in modern tools, but the conditions required for those tools to deliver meaningful commercial impact are not always fully in place.
The Consequence? Tangible Value Left on the Table
The performance paradox has a measurable cost. The most compelling evidence lies in areas where inefficiencies translate directly into financial outcomes.
Working Capital / Lock-Up
Lock-up remains one of the clearest indicators of operational health, and in many firms it continues to sit far higher than leadership would like.
Multiple tens of Millions can be tied up in WIP and debt not because the finance system is lacking, but because the upstream behaviours and processes feeding it haven’t changed: inconsistent scoping, variable time entry, unclear narratives, delays in billing hygiene and limited end-to-end ownership. With the median lock up sitting at 146 days in 2024, this means it’s taking almost five months from being appointed to getting paid.
These issues don’t disappear with a new platform.
A recent project with a large international firm illustrates this point clearly. The firm had been contending with long-standing working capital challenges: debtor days averaging 282, and in a single practice alone more than £8.2 million in outstanding debt and ongoing pressure on cash flow that drove significant borrowing costs. Despite modern systems, the underlying operating model around billing and collections had not kept pace.
By taking a holistic view across the entire revenue management lifecycle, from matter setup and scoping to invoicing and collections, it became clear that the barriers to improvement were rooted in inconsistent processes, siloed responsibilities and a lack of meaningful KPIs. The solution focused on redesign of workflows, clarified ownership and introduced measures that created visibility and accountability at each stage of the cycle.
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Debtor days fell from 282 to 97 in just over a year.
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Outstanding debt reduced from £8.2 million to £875,000.
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Invoicing moved 30 days faster, improving income recognition.
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The firm saved £92,000 annually in borrowing costs through stronger cash flow.
Importantly, none of these gains came from introducing new technology. They came from redesigning the processes and behaviours surrounding the system the firm already had.
Resource & Matter Management
Firms invest in systems to improve visibility of work, support better allocation and reduce reliance on informal resourcing. Yet many still experience mismatches between work and capability, or find that teams revert to traditional practices regardless of what the system enables.
Without a clear resource model, shared standards and consistent adoption across practices, the tools remain underused and efficiency gains are not realised. The UK average efficiency gain is 0.3%, but with the right structures and approaches it’s feasible to realise 30% gain.
The cost is both financial and cultural: overqualified, expensive lawyers doing underqualified, commoditised work, uneven workloads, and slower progression for junior teams.
Data inconsistencies across the customer journey
Data issues disrupt billing accuracy, extend lock-up, increase write-offs and create friction in client relationships. A small error at matter setup can create a chain reaction that affects pricing, billing, reporting and ultimately the client experience.
The New Competitive Landscape: Why Inaction isn’t an Option
Until recently, the performance paradox was awkward but manageable. Firms could absorb inefficiencies, work around gaps in process and ownership, and rely on strong client demand to offset operational friction. But this landscape is changing quickly.
AI is already reshaping pricing expectations from both sides of the market
Clients are becoming more sophisticated in how they assess value. Many now assume that firms equipped with AI and modern systems should be able to deliver work more efficiently, and it’s becoming more common for clients to ask in RFPs how firms are reducing costs by using AI. This expectation is spreading faster than firms’ ability to demonstrate real, technology-enabled performance gains.
At the same time, large global firms with significant investment capacity are moving quickly to embed AI into their delivery models. With stronger infrastructure and dedicated innovation teams, they are standardising processes and using AI to reduce the cost of routine, commodity-based work, without diluting their premium, high-complexity brand. This allows them to undercut mid-tier firms on price while retaining the advantage of scale and reputation.
The challenge for many firms is not the absence of technology, but the absence of a clear operating model that links AI to governance, workflows and measurable outcomes. Without evidence of how AI improves speed, quality, accuracy or cost-efficiency in practice, firms struggle to defend pricing. Any discounts become reactive rather than strategic. Mid-tier firms feel this pressure most acutely, caught between increasingly price-sensitive clients and larger competitors that can deploy AI at scale.
External market pressure
is intensifying the squeeze on fees
Broader economic uncertainty is amplifying downward pressure on legal fees. Against a backdrop of macroeconomic uncertainty, cost-conscious clients are under sustained pressure to do more with less.
Economic slowdown, geopolitical instability and tighter corporate budgets are driving procurement teams and in-house legal functions to push harder on pricing, shorten panel reviews and challenge the value of external counsel spend.
In this environment, AI becomes a convenient, and credible, justification for fee reduction. Even where firms have not yet realised meaningful efficiency gains, clients increasingly expect prices to reflect the potential of technology, not just its proven impact. This compounds existing margin pressure and makes it harder for firms to rely on traditional pricing models or historical performance to justify fees.
PE-backed new entrants
Private equity–backed legal service providers are entering the market with a fundamentally different starting point. They are not burdened by legacy systems or entrenched processes. They design their operating models around efficiency, transparency and technology from day one. This results in much more efficient decision making; they do not suffer from having to engage 100’s business owners to make decisions.
This gives them a level of agility that traditional firms cannot easily replicate, delivering a financial advantage though:
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Lower unit cost
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Faster cash cycles
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More predictable margins
While they may not yet threaten the full-service end of the market, they are increasingly competitive in areas where efficiency and cost control matter most. Their presence is challenging client expectations and redefining what “good” looks like in operational performance.
Across all three forces, the message is consistent: the market is moving faster than internal change in many firms. What differentiates firms now, and will define competitiveness in the years ahead, is the ability to turn tools into performance through process clarity, behavioural consistency and aligned decision-making. The paradox may have once been tolerable. It isn’t any longer.
The Path Forward: A Process-First, Tech-Enabled Approach
The performance paradox isn’t a technology problem; it’s an operating model problem. And the firms that are beginning to break the pattern by flipping the traditional approach.
This shift is powerful. It moves the conversation from “What can the platform do?” to “What does the business need to achieve, and how should technology support this change?” Once that framing is in place, technology becomes an enabler rather than the centrepiece. The firm is better positioned to realise the value from both new and existing investments by following the path forward.
Start with the business problem, not the platform
Too many projects begin with the selection of a tool rather than the definition of the problem.
Firms make real progress when they articulate the outcomes they need, for example faster billing cycles, clearer resource visibility, consistent pricing, more reliable matter data. They then design the processes and behaviours required to achieve those outcomes. Technology comes later, when the shape of the solution is already clear.
Map end-to-end processes, not functional fragments
Most inefficiencies appear at the handoffs: where finance meets partners, where risk meets matter teams, where BD meets client service.
Understanding processes across the full lifecycle, not just within individual functions, exposes the gaps. This clarity builds the foundation for consistent ways of working.
Identify human friction, behavioural blockers and missing ownership
Clear processes only work when people understand their role and feel accountable for it.
Changes can materially improve or undermine operational efficiency depending on how well ownership, decision-making and ways of working are defined. For this reason, Pace advocates a practical, end-to-end review during the assessment and analysis of each initiative, focusing on who owns each step, what “good” looks like, and where accountability genuinely sits.
Many of the challenges revealed in system implementations, such as late time entry, inconsistent onboarding data, informal resourcing models, are behavioural, not technical. Addressing them requires clear communication, leadership backing and hands-on change support. Without this alignment, even well-designed solutions struggle to deliver lasting impact.
Understand data flows and system interdependencies
Firms often underestimate how one process affects another. A small error at matter setup can create a cascade of issues in billing, reporting and client communication.
Mapping data flows and system connectivity helps identify where the operating model needs reinforcing and where technology configuration should be adjusted to support better behaviours.
Design how technology should support the process
When firms reach this stage, technology becomes significantly more impactful.
Decisions about configuration, workflow, automation and reporting are grounded in a clear understanding of how the business needs to operate. And what outputs it needs to support effective working practices. The system becomes a reinforcement mechanism, supporting good processes, rather than compensating for weak ones.
Done well, this approach doesn’t just fix point issues; it builds a more resilient, scalable operating model. It gives firms the ability to adapt to new client expectations, take advantage of emerging tools like AI and create consistent performance improvements that outlast any individual project.
This approach, puts you, the law firm back in control of your technology investment because you now fully understand what your firm needs to progress
Conclusion
Many firms recognise the performance paradox long before they give it that name. They invest in new technology with the expectation that efficiency, clarity and better decision-making will follow, only to find that, once the system is live, the underlying ways of working remain stubbornly familiar. The tools are modern; the outcomes are not.
This is the central lesson for firms across the sector: the issue is rarely the technology itself. It’s the belief that technology alone can correct the behaviours, processes and operating model structures that ultimately determine performance. When these foundations don’t shift, even the most capable systems deliver only a fraction of their potential.
But the paradox is not inevitable. Firms that start with a process-first, tech-enabled mindset are already demonstrating what’s possible: faster billing cycles, lower lock-up, more consistent resource allocation, cleaner data and stronger client experiences. Not because they bought different tools, but because they designed the organisation to make better use of technology.
The market pressures shaping the sector, including client expectations, AI-driven competition and new entrants, mean that closing this gap is not optional. The firms that thrive will be those that treat technology as part of a broader operating model, not as the solution in its own right.
The opportunity is clear. The tools are ready. The value is there. What determines the outcome now is how firms choose to work.
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