Indirect procurement trends in Europe: Professional services

While Professional Services highlights the challenge most clearly, other indirect categories are showing similar tendencies. Europe is no longer experiencing a single, broad inflation shock. Instead, they are moving through a structural re-pricing driven by labour cost, delivery models, and supplier investment narratives. For procurement teams, the key question is not just how much prices move, but how predictable the movement is and how much of it can be mitigated.  

Figure 1 below shows different levels of intervention in response to supplier-requested price increases. The distinction is important because tactical negotiations and strategic initiatives influence cost in different ways: 

• Tactical negotiations are project- or supplier-specific: price holds on selected lines, short mini-bids among incumbents, limited scope reductions, and “containment” actions. 
• Strategic initiatives reset the operating model: demand governance, specification discipline, supplier architecture, and controls that prevent leakage and scope drift. 

Figure 1: Supplier-requested price increases vs typical outcomes through mitigation

The pattern is consistent across categories: tactical negotiations can absorb part of supplier price increases, but strategic initiatives are what change the trajectory. This distinction matters most where demand is fragmented, scope is elastic, and suppliers are able to monetise complexity. 

Professional Services is the clearest example. While suppliers typically request increases of +5–7%, outcomes vary widely depending on procurement maturity: from limited containment to structural savings under active steering. 

While Figure 1 shows the category-level pattern, Professional Services demands a more granular breakdown because the levers and economics differ from one subcategory to another.

Figure 2: Key commercial levers and savings potential

This report focuses on Consulting and Legal because these areas combine high spend concentration with high controllability, as long as governance is designed for how the business actually buys and delivers work. 

Three developments are reshaping consulting buying behaviour in Europe: 

Together, these shifts make traditional, one-size-fits-all consulting panels increasingly inefficient. Organisations need a more structured way to route different types of consulting work to the appropriate suppliers with the right commercial models. In practice, this means segmenting demand clearly and enforcing how work is staffed and delivered. The degree to which organisations apply these controls has a direct impact on consulting cost outcomes. 

The ladder below illustrates how Consulting cost outcomes typically vary according to different procurement responses.

Figure 3: Consulting price increases vs typical outcomes through mitigation (internal benchmark data, 2026)

Below, we’ve outlined a practical segmentation structure that helps organisations categorise consulting demand to the right suppliers and commercial models. This improves cost control while keeping friction with internal stakeholders to a minimum. 

Figure 4: Segmenting Consulting demand and aligning supplier models 

This segmentation enables a tiered supplier architecture rather than a single “one-panel-fits-all” list: a small Tier 1 set for Segment A, a scaled preferred pool for Segment B, and specialist providers for Segment C. The commercial advantage comes from routing work to the appropriate tier based on its criticality and scope, instead of habit or existing supplier relationships. 

For segment B in particular, it is common practice to adopt a preferred supplier model where volume is consolidated in exchange for stronger commercial terms. We find that this model only works when three conditions hold: 

1. Volume is real and enforceable: Preferred pricing is a trade: suppliers price for actual volume steered, not for informal intent. That means internal governance must protect volume routing into the preferred pool. 
2. Rate cards are usable and reflect reality: A workable rate card is not just “Partner / Manager / Analyst”. It needs: 
   • A clear role taxonomy that matches how firms structure their teams (e.g., Partner/Principal, Engagement Lead, Manager, Consultant, Analyst, PMO, specialists) 
   • Geography/currency rules 
   • Clarity on what is included (tools, data, travel policy, QA) 
3. Governance is enforced where spend is created: Where volume is credibly committed and steered, internal benchmarks indicate preferred rates are typically 10–20% below standard rate cards. 

But if business units can bypass the intake process and agreed rate cards, the preferred supplier model collapses. Enforcement is not about adding bureaucracy; it is about creating predictable commercial mechanics. This requires top-level (often C-Suite) buy-in and support.

Figure 2 shows that consulting spend typically presents 10–30% savings potential when key commercial levers are applied. While preferred supplier models can deliver 10–20% rate improvements, larger savings are typically achieved through improved work design and governance, with internal benchmarks showing that savings of 20–30% are often delivered when scope, staffing, and delivery mechanics are actively controlled. 

• Scope discipline: Outputs and boundaries defined up front; explicit “in/out” lists; clear change-control triggers 
• Role-mix control: Senior time reserved for decision points and quality gates; junior resources used for repeatable analysis 
• Competition at the right moments: Structured mini-bids for work packages; re-compete change requests above thresholds 
• Delivery mix design: Nearshore components for repeatable work where appropriate, with clear controls for sensitive work 
• Output-based SOWs: Milestones, quality gates, delivery contingent models, and acceptance criteria that reduce rework and “endless iteration” cycles 

The key takeaway here is that savings are primarily made in work design and governance, not in the final negotiation round. 

Legal combines high stakeholder sensitivity (risk, reputation, regulatory scrutiny) with low spend visibility (distributed instruction, opaque staffing, inconsistent billing). The category is also maturing quickly, raising the bar for what “value” looks like. 

Three market shifts have direct commercial implications: 

Taken together, these shifts change the procurement job: from negotiating partner rates to designing a system where external counsel is a controlled, auditable process.

The ladder below illustrates how different procurement responses can impact Legal cost outcomes. 

Figure 5: Legal price increases vs typical outcomes through mitigation (internal benchmark data, 2026)

Demand segmentation is the foundation for both cost control and risk management. Figure 6 is a practical segmentation model for teams to route Legal demands to the appropriate suppliers and commercial models. This approach reduces blended cost for Legal without compromising on the high-stakes matters that truly require Tier 1 expertise. 

Figure 6: Segmenting Legal demand and aligning supplier models  

Legal panels commonly fail for one reason: they exist on paper, but allocation decisions are still relationship-driven and exception-heavy. Once legal demand is segmented by risk and complexity, the supplier panel should reflect that structure. As shown in Figure 6, a panel that works in practice typically has: 

• Tier 1: A small number of top-tier global firms for complex, high-stakes matters 
• Tier 2: Strong mid-market global firms for repeatable, material work at lower rates 
• Tier 3 / specialists: Providers used for niche expertise or process-heavy workstreams (including routine data and privacy tasks) 

Here, two design choices matter commercially: 

1. Work allocation rules must be explicit and enforced. If the allocation rule is optional, the panel becomes a directory, not a lever. 
2. Consolidation should trigger a refresh. When firms merge, competition can reduce by default. Treat consolidation as a structured trigger to re-tender or at least re-price and re-confirm tier placement. This is increasingly relevant: law-firm merger activity rose sharply through 2025, further large combinations have been announced for 2026, and strong mid-market capacity is becoming scarcer. 

A scalable commercial model for Legal services typically combines: 

• Fixed fees for defined work packages 
• Capped fees for uncertain but governable matters, with risk-sharing mechanisms beyond the cap 
• Phased litigation pricing, with phase budgets tied to outputs and decision gates 
• Clear “in-scope vs additional” definitions to prevent silent scope creep 
• Change control rules that make scope changes explicit commercial events 

This approach helps to align incentives and make cost a managed variable. 

Even with well-structured fee models, organisations can lose value during delivery if billing discipline is inconsistent. Leakage is commonly driven by a set of recurring issues: 

• Vague time entries that make the work performed difficult to assess 
• Inconsistent enforcement of billing guidelines 
• Administrative work billed as legal work 
• Duplicate or non-compliant disbursements 
• Silent seniority creep reflected in billing patterns 

Scaling invoice control means moving from spot checks to a structured system: 

• E-billing rules and required fields 
• A structured review workflow 
• Exception reporting by firm and practice area 
• Feedback loops that inform panel performance reviews 

A current recurring pattern is that firms defend nominal rates while committing to faster delivery. Buyers increasingly expect AI to translate into fewer billed hours for comparable tasks. The commercially effective response is to contract around measurable effort drivers, such as: 

• Phase and matter-level budgets 
• Staffing mix caps by role 
• Explicitly defined deliverables and acceptance criteria 
• Minimum requirements for task-level transparency – i.e. enough to verify that effort is reducing where it should 

In short: maintain rate-card discipline while treating hours, staffing mix, and scope as the primary control variables.