A few months ago I spoke with Salesforce CLO Sabastian V. Niles on the Technically Legal podcast about his open letter challenging law firms to stop piloting AI and start really using it. It’s a frustration in-house legal teams know well. Many have watched law firms announce technology initiatives for years while the actual work still moves at the same pace and price it always has.
That gap points to two questions in-house teams should ask when they evaluate legal service providers (LSPs): what does it actually mean for an LSP to use AI in production rather than piloting it, and how should that change what you pay.
What’s the Difference Between a Law Firm “Piloting” AI and a Legal Service Provider Actually Using It in Production?
Piloting means testing AI on a limited basis, often on a single matter or as a proof of concept, without it changing the underlying workflow or cost structure. AI use in production means it is built into how the work actually gets done, every day, at scale, with outputs that attorneys rely on and clients are billed accordingly.
Percipient has been a legal service provider since before LLM-based chatbots entered the scene and technology has been part of our actual delivery model from the beginning. A few concrete examples of what that looks like in production:
- Review protocol drafting. We have witnessed situations in which it took attorneys weeks to draft a document review protocol. We built a chatbot that helps them produce a draft in minutes.
- Subpoena compliance. Our in-house AI tool takes the first pass at subpoena response work, with every output verified by attorneys before it goes out the door.
- High-volume contract review. The same app works here too, letting attorneys focus their time on judgment calls instead of repetitive extraction work.
None of this means the technology itself is more advanced than what a law firm could build or use. The difference is that we already integrate it into our daily service delivery. Interestingly, despite how mature legal technology is, we still see more resistance to using AI in large-scale document review and other volume work than most people would expect.
How Does an ALSP Price Work Differently Than Billable-Hour Law Firm Engagements?
An ALSP prices work around the actual cost and time required because we build the underlying processes for efficiency. A billable-hour model prices work around the time spent regardless of how efficient that time was, which means a firm that adopts AI internally has little financial incentive to pass those efficiency gains on to the client.
That distinction matters more now than it used to. In-house legal budgets are largely flat while workloads grow, and the pressure to reduce outside counsel spend is not going away. At the same time, the range of legal service options has widened. The largest companies have the resources to build their own AI tooling internally but, mid-market and growth-stage companies may not. Instead these companies need partners who price transparently, deliver predictably, and do not add hours with process that technology has already made unnecessary.
Percipient’s pricing reflects that. Because our workflows are already built around efficiency rather than billable hours, pricing can reflect the actual cost and value of the work instead of the time it took to produce it. That is a structural difference from a firm still operating on a billable-hour model, even one that’s actively piloting AI internally, since the incentive to reduce hours and reduce revenue at the same time isn’t there.
The Market Is Moving
Sabastian’s open letter was addressed to law firms, but it is just as relevant to how in-house teams evaluate their broader mix of legal service providers, not only their outside counsel.
If your legal department is navigating rising workloads, outside counsel spend pressure, or the growing gap between what your law firms promise about AI and what they’re actually delivering, we should talk.
The post Your Law Firm Is Piloting AI. Your ALSP Is Using It. appeared first on Percipient – Legal Services Powered by Technology.