This is the third 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 two blogs followed a matter through the pre-RFP phase, where it was routed and matched to firms, and the RFP phase, where the request and the invite list were built. This final blog takes up what happens once responses come back, the post-RFP phase, where genuinely different proposals have to be made comparable and the comparison has to become a record you can share and defend.
The Pricing Comparison Agent
Responses come back, and the real work begins, because one firm quotes a fixed fee, another gives you phases, a third caps it, and a fourth builds in assumptions the others never mentioned, so on paper the numbers look comparable while in reality they are anything but. The Pricing Comparison Assistant exists to cut through exactly that, making genuinely different proposals discussable against one another.
The day-to-day problem
Different fee structures, different scope assumptions, and different levels of detail mean the lowest headline number is often not the lowest actual price, and spotting that takes careful, line-by-line reading under time pressure. The trap is that the differences that matter most are the ones hardest to see, because a fixed fee and a capped fee can carry the same headline number while meaning very different things about who absorbs the risk of overruns, and a low quote that excludes a phase the others included is not actually low once you account for the gap.
How the Pricing Comparison Assistant works
Scout’s Pricing Comparison Assistant generates a Rates and Pricing summary, either overall or for a selected pricing phase, and compares the firms you choose across pricing amounts and structures, phase and subphase differences, scope alignment and exclusions, assumptions and response notes, and missing or inconsistent information. What makes this genuinely useful is that the AI reads for comparability rather than merely reading for numbers, using the RFP’s own pricing instructions and scope as context so that it measures each response against what you actually asked for rather than against a generic template. It normalizes across different fee structures enough to make them discussable, surfaces where one firm’s scope narrows or expands relative to another’s, and pulls the buried assumptions up to the surface where you can weigh them, doing the careful, tedious reconciliation a person would do given unlimited time and unbroken attention, which is rarely available when five responses land at once. It also holds a firm line that is essential for trust, because Scout does not invent missing prices, totals, assumptions, or scope, and where something is absent, it says so plainly.
Why the AI matters here specifically
This point is worth dwelling on, because it is where a lot of AI tools overreach and lose credibility with legal buyers, and the Pricing Comparison Assistant is deliberately built to avoid picking a firm or fabricating a missing figure. That restraint is the feature, since an AI that confidently filled in a gap or declared a winner would be worse than useless here and would introduce exactly the kind of unsupported conclusion a legal team cannot defend. The AI instead does the part it is genuinely good at, reading everything, holding it all in view at once, and flagging what is inconsistent or absent, while leaving the judgment where it belongs, with you, because a gap you can see is a gap you can follow up on, whereas a gap that gets silently papered over becomes a problem you discover only after you have committed.
The AI RFP Response Comparison Report
The Pricing Comparison Assistant answers questions inside the workflow, and the AI RFP Response Comparison Report takes that same intelligence and turns it into something you can hold, share, and file. Selecting a firm is a decision you have to explain, sometimes months after you made it, to a general counsel who was not in the room or a finance leader who wants to understand why the chosen firm cost what it did.
The day-to-day problem
The analysis that supports a firm selection usually lives in scattered places that do not travel well, a spreadsheet someone built by hand, a chain of emails debating which quote was really lower, and a set of impressions in the heads of whoever read the proposals most closely. When a colleague joins the evaluation late, when the decision goes up for approval, or when someone revisits the choice a quarter later, the reasoning has to be reconstructed from fragments, and the nuance that mattered at the time has usually faded, so the record of why one firm won over the others ends up thinner than the decision deserved.
How the AI RFP Response Comparison Report works
The report turns that analysis into a single generated document. You select between one and five submitted law firm responses, and Scout produces a downloadable report from them, working through eligible platform responses and the firms’ supported submitted attachments as source material. Generation happens in the background, so you can start the report and leave the RFP entirely without holding up your work, and Scout emails you when the report has finished generating or, if something prevents completion, when it has reached a final result. Each completed report is stored as an immutable PDF in the RFP’s Project Documents, so the version you generated is the version that stays on the record, and the report formats itself for readability, using portrait orientation when you are comparing one or two firms and switching to landscape when you are comparing three to five.
The document lays out a full, structured comparison across the overall similarities and differences among the responses, the costs, fee structures, phases, expenses, and pricing ranges, with a detailed cost breakdown included when phase-level or line-item-level pricing is available, the cost drivers and the assumptions each firm stated, the scope and price gaps that affect comparability, the strategy, staffing, experience, technology, and opposing-counsel information, the missing, partial, conflicting, or unsupported content in the responses, and the specific follow-up questions that would improve completeness or comparability. It evaluates the responses on responsiveness, specificity, completeness, comparability, and internal consistency, and it does all of that without ranking the firms or recommending a winner, and when an attachment cannot be analyzed, it continues with the sources it can use and discloses the limitation openly.
Why the AI matters here specifically
Producing a document like this by hand would take a skilled person the better part of a day, and it would still carry that person’s blind spots, because fatigue and time pressure are exactly what cause a reader to skim the fourth proposal less carefully than the first. Scout holds all of the responses in view at once and reads each with the same attention, which makes the resulting comparison even and complete rather than weighted toward whichever proposals got read first, and because it is deliberately built to inform your judgment rather than replace it, the document stays trustworthy to a legal audience in a way a report that declared a winner never could.
Why this phase matters, and where the series goes next
The post-RFP phase is where should-cost meets reality, because a clear-eyed read of what each firm is really charging, and where their scope diverges, set against the benchmark you already hold, is what lets you commit to a price you can defend, and a stored, immutable comparison of exactly what each firm offered is the strongest possible answer to the question of why you chose the firm you chose.
It closes the loop the platform opened at intake. Across this series, a single matter has traveled from the moment it arrived, through the pre-RFP work of routing and firm discovery, the RFP work of building the request and the invite list, and finally the post-RFP work of comparing pricing and producing the report, with each phase handing the next a clean foundation. That is the whole promise of Priori as the pricing and allocation platform for outside counsel, your data and your rules behind every decision, defensible from the first routing call to the final award.
Sign up for our product demo on September 23 to see it all in action.
