This is the second in a three-part series on how Priori and its AI agent, Scout, put your data and your rules of engagement behind every stage of an outside counsel decision:
- Inside Scout’s Agents: Matter Intake and Law Firm Discovery
- Inside Scout’s Agents: RFP Creation and Recipient Selection
- Inside Scout’s Agents: Pricing Comparison and Response Analysis
Priori is the pricing and allocation platform for outside counsel, connecting your own data and turning your rules of engagement into the workflow itself, with its AI agent, Scout, carrying your data and your rules through each stage of a matter.
The first blog in this series followed a matter through the pre-RFP phase, where the Intake Agent routed it and the Law Firm Discovery Agent turned requirements into a structured firm search. This blog takes up the matters that intake sent toward competitive sourcing and follows them through the RFP phase itself, which has two halves that determine whether the whole exercise produces a real decision or an expensive formality, building the request and deciding who receives it.
The RFP Creation Agent
A weak RFP costs you twice, because firms interpret it however they like, and you then find yourself comparing proposals that do not line up, arriving in different scopes and different assumptions with no clean way to evaluate them. A good RFP prevents all of that upstream, before a single firm starts drafting a response, which is the work the RFP Agent is built to do.
The day-to-day problem
Drafting RFPs from scratch can be slow, so teams reuse the last one even though it was built for a different matter, and the scope no longer quite fits, the questions read as generic, and firms fill the gaps with their own assumptions. The root of the problem is that RFP quality stays invisible until it is too late to fix, because a vague question looks harmless while you are writing it and only reveals itself as a problem three weeks later, once five firms have answered it five different ways and left you with no clean basis for comparison.
How the RFP Agent works
Scout’s RFP Agent helps you build an RFP specific to the matter in front of you, gathering and confirming the details that structure the whole request, including request type, RFP name, practice area, response deadline, time zone, currency, description and scope of work, jurisdictions, timeline, and workspace tags. It creates a draft once the essentials are in place, and it works from a blank slate, a partial draft, or an existing one, so you are never starting cold.
The AI then does its real work by going deeper than logistics, recommending relevant question templates based on the specifics of the matter and explaining the fit and tradeoffs of each option rather than silently picking one. One template might be broader but longer for firms to complete, while another might be more specialized but lighter on pricing detail, and surfacing those tradeoffs turns template selection from a guess into an informed choice. From there, Scout reviews the questions themselves and suggests additions, edits, or removals to make the RFP specific to this matter, tightening a vague question, adding one the matter clearly calls for, and flagging one that does not apply, with confirmed changes applying straight to the draft. It runs on your conventions throughout, applying your naming rules, your required fields, your practice-area language, and your default currency and response windows, and nothing is created or changed until you confirm it.
Why the AI matters here specifically
This is where AI assistance pays a compounding dividend, because the effort is front-loaded while the payoff arrives downstream, and time spent making a question precise at the drafting stage saves multiples of that time at the evaluation stage. The person drafting rarely has that downstream cost in view while they are rushing to get the RFP out, and the RFP Agent brings the evaluation lens forward into the drafting moment, effectively asking on every question whether the answers will actually be comparable, which is a discipline that is hard to maintain by hand and easy to skip under deadline.
The Recipient Selection Agent
A well-built RFP is only worth as much as the firms who receive it, which raises the second half of this phase, the question of who should actually be invited to respond. Deciding who to invite is where old habits quietly take over, because you invite the firms you always invite, the ones already top of mind, while the strong option with a great track record from two matters ago never makes the list.
The day-to-day problem
Recipient selection ought to be the most evidence-rich decision in the whole process, given that you hold profiles, prior matters, spend history, reviews, response and win rates, and rankings, and yet that evidence stays scattered, so in practice the invite list gets built from recall. The firms most likely to come to mind are the ones you have used most, so the selection quietly self-reinforces, and a strong newer firm never accumulates the history that would make it memorable, which means selection by recall does more than miss firms and actively entrenches the ones already in the rotation.
How Recipient Selection works
Working inside the RFP, Scout evaluates every RFP-enabled firm in your workspace and recommends who to invite, presenting them in manageable batches with the reasoning shown for each and drawing on firm profiles and office locations, prior matters and historical spend, client reviews, RFP response and win history, and Chambers rankings. The AI’s role here is to weigh all of that evidence together and put the case for each firm in front of you rather than quietly ranking firms behind the scenes, so for each recommended firm Scout explains why it may fit and gives you a rationale to evaluate rather than a black-box score.
It also handles missing information in a way that matters more than it first appears, because a firm with limited history does not get penalized as though thin data were poor performance, and the agent flags the gap as a gap and lets you decide what to make of it. A naive scoring system buries the firm with little data at the bottom, which is precisely how promising newer firms stay invisible, so surfacing the fact that there is not much history yet as information rather than as a negative is what keeps the field open. Firms already on the RFP are excluded automatically, and no firm is added until you confirm it. What counts as a strong fit stays your call, so Scout weights according to which signals are true requirements versus preferences, how much prior spend or a prior win should matter, and how to balance an incumbent against introducing a new firm.
Why the AI matters here specifically
The benefit is that the AI actively counteracts the exact bias that makes manual selection narrow, because where recall pulls you toward the familiar, an evidence sweep across every eligible firm pulls the field wider and surfaces the firm that fits on the merits even though it was not top of mind. You still make the call, and you make it against the full set rather than the handful you happened to remember, which gives you a better invite list and, more importantly, genuine competition, and genuine competition is where better pricing and better outcomes actually come from.
Why this phase matters, and where the series goes next
The RFP phase is where a competitive-sourcing decision either produces a clean, defensible comparison or a mess you have to reverse-engineer later. A well-built request produces responses that line up, and an evidence-backed invite list produces a field you can stand behind when leadership asks why these firms, so handled together they make the competitive process your rules of engagement called for deliver on its purpose rather than formalizing a choice someone had already made. Once those firms respond, the final challenge is making genuinely different proposals comparable to one another and turning that comparison into something you can share and defend, which is where the last blog in the series lands, in the post-RFP phase.
Sign up for our product demo on September 23 to see it all in action.
