Gabriel Buigas says AI may widen the opening for ALSPs, but only if managed-services providers can move beyond discrete task execution and help legal departments prove operational change in business terms.
For alternative legal service providers, artificial intelligence is becoming both an opening and a test. The technology may allow managed-services providers to take on more sophisticated work. It may also expose a familiar weakness in the category: the tendency to promise transformation while being bought for discrete tasks.
Gabriel Buigas thinks the frame needs to change.
As Executive Vice President, Legal & Compliance Solutions at Integreon, Buigas sees the ALSP market entering a more demanding phase. The opportunity, in his view, is not simply to perform more work at a lower cost. It is to prove that managed-services providers can help large legal departments rethink how work is assigned, structured and measured across the enterprise.
That is a larger claim than the category has always been able to support. Legal departments have heard versions of this promise before: outsourcing, managed review, process improvement, legal operations consulting and technology-enabled delivery. Some of it has created real value. Much of it has remained narrow, attached to specific matters, functions or budget pressures.
Buigas’s argument is that AI may change the terms of the conversation. Not because it removes the need for legal process, but because it forces a harder question: which work should be done by lawyers, which work should be done by law firms, which work should be managed through process and technology and which outcomes should legal be expected to improve?
That view carries weight because Buigas is not speaking only as a provider executive. Before joining Integreon, he spent two decades inside Hewlett-Packard’s legal department, including senior roles tied to legal strategy and operations. His experience there shaped a central conviction: legal transformation does not begin with a tool or a vendor category. It begins with treating the legal department as a system.
At HP, Buigas says, the legal team removed significant cost by looking across the department rather than approaching change through isolated budgets and disconnected workstreams. The lesson, as he describes it, is that large legal departments often have more room to transform than they realize. The money may already be in the system. The harder question is whether legal leaders can redirect it before the business imposes a blunter version of cost reduction.
From Service Category to Operating Question
That systems view now informs how Buigas talks about Integreon and the broader ALSP market. He is candid that managed-services providers have often sold themselves in silos: litigation support to one buyer, contracts support to another, cyber incident work to another. The result is a category that may be valuable to clients but still fragmented in how it is bought, understood and deployed.
His thesis is that the next phase cannot rest only on lower-cost execution. If ALSPs want a more central role, they have to help define the work, structure the process, apply technology with discipline and measure whether the result improves the legal department’s contribution to the business.
That is where the category’s ambition either becomes real or collapses back into task execution.
AI Is the Catalyst, Not the Plan
AI makes that question both more plausible and more urgent. Buigas sees AI as a potential productivity enhancer that could allow managed-services providers to move up the complexity chain, taking on more sophisticated work while preserving the economic logic of the model. But he is also wary of a familiar pattern now repeating across legal departments: buying technology before defining the use case, ownership model, workflow or desired outcome.
His comparison point is CLM. Many companies bought contract lifecycle management systems expecting transformation, only to end up with little more than intake and a repository. The failure was rarely the tool alone. It was the absence of a clear operating model: who would use it, how work would change, which problem it would solve and what result the business should expect. Buigas sees the same risk in the current AI wave.
That critique gives the discussion its edge. The question is not whether an ALSP says it uses AI. Many providers will. The better question is whether the provider can turn AI into governed delivery: a clear use case, defined process, tested guardrails, accountable execution and pricing that reflects outcomes rather than effort alone.
For in-house teams, that distinction matters. Buying another tool may satisfy the first question from leadership: “Are we using AI?” It does not answer the more important one: “Has anything actually changed?”
The Measure Is Business Outcomes
That is the insider signal in Buigas’s comments. The pressure on legal is not only coming from technology. It is coming from the business’s growing impatience with legal departments that describe their value in terms of workload rather than outcomes.
Legal often talks about activity: contracts processed, matters handled, review volumes absorbed, outside counsel spend managed. The business wants to know whether legal shortened contracting cycles, accelerated revenue, improved vendor onboarding, reduced risk or created capacity without adding headcount. Buigas points to that translation gap as one of the central operating challenges for modern legal departments.
In that sense, the ALSP opportunity is not to displace law firms or replace in-house judgment. It is to occupy the work that needs structure, scale, repeatability and measurement—the work that is too operational for traditional legal advice but too consequential to leave unmanaged.
For legal leaders, the implication is practical: AI may change the economics of legal work, but it will not solve the operating problem for them. The departments that benefit will be the ones that know what work should change, who should do it and how success will be measured.