Why in-house legal needs an operating system

Legal technology has not historically been associated with hype or visibility, but the emergence of generative AI and the rapid influx of new AI powered products that followed has fundamentally changed how legal teams perceive and engage with technology.

Generative AI created a clear opportunity for disruption to legal services. When AI providers such as OpenAI and Anthropic made large language models accessible, early adopters leveraged these to build powerful, industry-specific products. These products integrated LLM powered features into AI native legal platforms and tailored AI capabilities to specific workflows – surpassing what was possible with the AI providers’ generic chat interfaces.

In legal, Harvey and later Legora moved quickly to take advantage of this opportunity. They established early positions in the market, and today a large proportion of the AM Law 100 uses one or the other of these platforms for high-volume legal work. A number of other solutions also sit in this application layer, but none have achieved the same level of traction. 

Some of these solutions focus on narrow use cases, such as contract review or document analysis. Others offer broader functionality but have not positioned themselves as effectively as the key players. Many have raised significant amounts of capital to accelerate growth and capture market share. However, the challenge they now face is not primarily competition from each other. It is competition from the infrastructure providers themselves.

As access to large language models becomes more widespread, the underlying capability is increasingly commoditized. In response, providers such as OpenAI and Anthropic are expanding their application layer offerings beyond chat interfaces. They are developing more complete platforms, adding integrations, usability, orchestration and increasingly agentic functionality. They are marketing to specific verticals, including legal. In effect, they are moving from being infrastructure providers to full-stack AI platforms.

The shifting AI landscape and its implications

This shift creates a more direct question for legal teams looking at procuring technology. If the generic AI providers can offer both the underlying models and the platform through which those models are used, what additional value does a specialist legal solution provide?

For platforms such as Harvey and Legora, the value lies in providing legal-specific workflows, connections to relevant legal data such as case law and legislation, and a structured environment in which legal work can be carried out. Brand also plays a role. For law firms, brand is a core asset, and aligning with a well-recognized legal technology platform can support positioning and client expectations. In that context, adopting a leading platform is often seen as a low-risk, defensible choice.

For in-house legal teams, the decision is different. There is limited value in selecting a platform based on brand alone. In-house teams are not competing for clients in the same way, and their primary focus is on how effectively they can support the business rather than optics. In addition, the proportion of revenue driven by law firms should give in-house teams pause when considering how closely a platform will align with their needs and operating model.

Articulating the value of an operating system for in-house legal becomes clearer as agentic AI begins to have a meaningful impact. Much of the focus for law firm-oriented platforms has been on high-volume, lower-complexity work. However, as in-house teams begin to leverage agentic AI themselves, the need to outsource this type of work is likely to decrease. 

This shift highlights a misalignment. While these platforms have improved the efficiency of delivering routine work, they have not changed the underlying reason that work is sent to law firms in the first place – which has historically been a function of capacity, not capability. As that constraint is reduced internally, the rationale for externalizing routine work weakens. 

External counsel will continue to play an important role, but increasingly in relation to specialized, complex or high-risk matters. In that context, the value of an in-house operating system lies in enabling teams to retain and manage the bulk of routine work internally, maintaining control over how that work is delivered.

How operating systems support in-house legal teams

In this environment, the distinction between in-house legal systems, law firm platforms, and general-purpose AI platforms becomes clearer. The value of specialized in-house legal solutions like LawVu lies in how they connect to legal data, manage workflows, and create a system of record for the business. These elements are central to how in-house legal teams operate. They reflect the need to manage intake, coordinate across functions, maintain visibility, and ensure consistency in decision making. That is fundamentally different from the needs of law firms or the broad capabilities of generic AI platforms, and is not easily replicated by solutions designed for those contexts.

This means that differentiation for in-house legal operating systems shifts toward the ability to provide structured intake, orchestrate workflows, integrate with internal data, and maintain visibility over legal activity. While it is technically possible to assemble these capabilities using general-purpose tools, doing so requires stitching together multiple systems, managing integrations, and taking on ongoing operational risk. This may be workable for smaller teams but becomes increasingly difficult to sustain at scale.

Specialized vendors therefore add value not only through their technology, but through their ability to package these capabilities in a way that reduces complexity, is reliable, scalable, and aligned with how legal teams’ work. They also assume responsibility for maintaining, securing, and evolving the underlying infrastructure – reducing the burden and risk for internal teams.

The potential benefits of getting this right are significant. Enabling a legal team to operate more efficiently and allowing the wider business to self-serve on lower-risk matters can materially improve the speed at which the organization operates. Legal becomes less of a bottleneck and more of an embedded function within business processes.