Most conversations about legal pricing focus on the model. Hourly versus flat fee. Whether to use an AFA. How to scope, cap, or discount a matter.
But pricing models are usually only as good as the work they sit on top of. When a matter is structured as a single, broadly defined block of activity, even the most thoughtful pricing approach tends to flatten back into something that looks a lot like the billable hour.
That structural layer often gets less attention than it should.
Pricing flexibility is shaped by how work is defined
In many engagements, matters are scoped broadly. Strategic decisions, detailed execution, factual and legal research, and more routine process work may all be grouped under a single umbrella.
That framing can make sense at the start of a matter, particularly when scope is uncertain. But it also tends to collapse meaningful differences between types of work into a single price point or a single staffing model.
When everything is bundled, pricing tends to default to the simplest common denominator. Usually, that’s time.
Different parts of a matter often carry different value
Within almost any legal matter, the activities involved can vary significantly in complexity, risk, and the level of expertise required.
Strategic judgment calls, novel legal questions, and high-stakes negotiations often draw on deep experience and carry meaningful downstream consequences. Other parts of the same matter may be more process-driven, more repeatable, and well-suited to standardized workflows, even when they remain important to the outcome.
Treating those categories of work as if they are interchangeable, at least from a pricing perspective, can create inefficiencies on both sides. It can also make it harder to align cost with the value being delivered.
Unbundling creates more room for pricing and staffing choices
Breaking a matter into clearer components opens up more options for how each piece is priced, staffed, and managed.
Different parts of a matter can sit under different pricing structures based on their nature. They can also be staffed differently, with the potential to involve a mix of firm lawyers, alternative legal service providers, flexible legal talent, and technology, depending on which model fits best for that slice of the work.
This approach can be especially useful in areas like litigation, large-scale transactions, or ongoing compliance work, where the range of tasks involved is broad and the level of specialization required can vary significantly across stages.
It can also make it easier to revisit how work is sourced over time, rather than treating outside counsel selection as a one-time decision made at the start of a relationship.
More structure upfront tends to reduce friction later
Unbundling does take more work at the front end. It involves defining scope more precisely, identifying the components that make up a matter, and setting clearer expectations around how each piece will be handled.
That can add complexity to the early conversations. But it often reduces uncertainty later on.
With clearer definitions in place, both clients and firms tend to have a better shared understanding of what is included, what is not, and how changes in scope will be priced and managed. That can make ongoing pricing discussions more straightforward and reduce the likelihood of misalignment as the matter develops.
It can also make it easier to capture what worked, and what didn’t, in a way that improves future engagements rather than starting from scratch each time.
AI is starting to take some of the operational weight out of unbundling
One reason unbundling has historically been hard to operationalize is that it asks legal teams to do more work upfront, often without the systems in place to make that work repeatable. Defining components, matching each one to the right provider type, and tracking how prior decisions played out is rarely a single-person job, and the information needed to do it well tends to live in several different places, like firm knowledge, billing data, and the institutional memory of individual attorneys or legal ops leads.
AI is beginning to change what’s realistic here. Tools that can apply a team’s rules of engagement consistently across matters, surface relevant firm and provider data, and structure pricing comparisons against historical context make it easier to break a matter into components without rebuilding the process from scratch each time.
That doesn’t mean unbundling becomes automatic. The judgment calls about scope, staffing, and risk still belong to the legal team. But the operational lift can get lighter, which tends to make a more component-based approach realistic for a broader range of matters than it used to be.
Many of the more interesting pricing models depend on this groundwork
A number of the pricing approaches that generate the most interest, including outcome-based pricing, phased fee structures, and portfolio arrangements, depend on having a more granular view of the underlying work.
Outcome-based pricing requires a clear sense of what is actually being delivered, and how different components contribute to the end result. Phased approaches require defined transitions between stages of a matter. Portfolio models rely on understanding which types of work behave predictably enough to be grouped, and which need to be managed individually.
Without a clearer structural foundation, those models can be difficult to implement consistently. They may end up as one-off experiments rather than something that can scale across a broader book of work.
Unbundling is rarely the most visible change, but it tends to be one of the more important ones
The pricing model is usually the part of an engagement that gets the most attention. It’s the part that ends up in the engagement letter, the RFP response, or the budget discussion.
But the structure of the work itself often does more to determine how a matter is priced, staffed, and managed than the headline model. When that structure is clearer, more options become available. When it isn’t, even well-designed pricing approaches can drift back toward familiar defaults.
Unbundling isn’t a single solution, and it won’t fit every type of matter equally well. But for legal teams looking to build more flexibility into how they buy legal services, it tends to be one of the more useful places to start.
Where Priori fits
A lot of what makes unbundling difficult in practice is the operational lift: defining the components of a matter, matching each piece to the right kind of provider, and keeping pricing structures aligned with how the work actually gets done.
Priori is built around that kind of work. Priori RFP is Priori’s software for running structured RFP and panel management workflows. Embedded inside it is Scout, Priori’s AI agent, which learns a team’s rules of engagement and applies them to every new matter, helping surface qualified firms, structure the RFP, and evaluate pricing proposals using structured comparisons and historical context. Paired with Priori Marketplace, legal teams can break engagements down into discrete components and source each piece against the provider model that fits best, whether that’s a traditional firm for strategic counsel, an ALSP for higher-volume process work, or flexible legal talent for specialized capacity.
The goal isn’t to unbundle for its own sake. It’s to give legal teams more options for how each piece of work is priced and staffed, and a clearer way to manage those choices across a broader portfolio over time.
Learn more
- See how Priori RFP supports component-level scoping, RFP workflows, and pricing benchmarks for unbundled work.
- Learn how Priori Marketplace connects legal teams to outside counsel, ALSPs, and flexible legal talent suited to different parts of a matter.
- Read Priori’s perspective on how pricing models and incentive structures shape outside counsel relationships.
- Talk to the Priori team about applying an unbundled approach to a specific matter type or portfolio.
