Using Precedent Data in Ayora Quote Builder

Ayora Quote Builder uses precedent data to help users make better pricing and resourcing decisions. Precedents can help users find similar won quotes, understand typical workstreams and scope items, benchmark hours and grade mix, and review the profitability impact of a proposed quote.

Precedent data should be treated as decision support. It gives users evidence from similar matters, but users should still review the quote context, scope, assumptions, fees, and resourcing before relying on a recommendation.

What Counts As Precedent Data

In Ayora Quote Builder, precedent data can include information from previous quotes and completed matters, depending on what is available for the organisation. Examples include:

Work type and additional work types.
Practice area or discipline.
Client or client-related filters.
Quote characteristics.
Workstreams.
Scope items or pricing items.
Fee ranges and final billed values, where available.
Billing realisation.
Hours and fee-earner grade mix.
Quote status, especially whether a quote was won.

These signals help Ayora Quote Builder narrow the comparison set to matters that are commercially and operationally relevant.

Where Users Encounter Precedent Data

Users may encounter precedent data in several parts of Ayora Quote Builder:

Area	How precedent data helps
Precedent search	Finds similar quotes or matters based on the quote context and search criteria.
Pricing area	Supports fee research, match quality explanations, and comparison against similar work.
Workstream and scope item planning	Helps map user-described work to the organisation's workstream and scope item structure, then benchmark the selected components.
Resource planning	Provides evidence for typical grade mix and hours across comparable matters.
Maximise Profitability	Helps assess whether different resourcing patterns may improve profitability.
Agent conversations	Lets users ask for benchmarks, similar matters, scope mapping, and quote-building support in plain language.

Workstream And Scope Item Mapping

Ayora Quote Builder supports a bottom-up pricing workflow where users describe the work to be priced, then map that work to the organisation's quote structure.

The important distinction is:

Term	Meaning
Workstream	A broader grouping of related work, such as due diligence, transaction documents, financing, or project management.
Scope item	A specific priced component within a workstream, such as a particular document, diligence work package, filing, review, or negotiation step.

When a user describes a component of work, Ayora can use the organisation's taxonomy to help identify whether the best match is a whole workstream or a specific scope item. For example, a broad phrase such as "financing" may map to a workstream, while a specific deliverable such as "SPA" may map to a scope item.

This mapping matters because precedent benchmarks are more useful when the comparison is at the right level. A whole workstream benchmark may be helpful for sizing a broad area of work; a scope item benchmark is usually better for pricing a specific deliverable.

Precedent-Backed Benchmarks

After the relevant workstreams or scope items are identified, Ayora Quote Builder can use precedent data to benchmark:

Which components appeared in similar matters.
Typical hours for each workstream or scope item.
Typical fee-earner grade mix.
Fee ranges and pricing outcomes.
Billing realisation and profitability measures, where available.

Benchmarks are strongest when the quote has enough structured information to define a meaningful comparison set. Helpful inputs include work type, matter characteristics, fee range, practice area, and confirmed scope.

When using benchmarks, users should check both the result and the comparison set. A benchmark based on a narrow and well-matched set of precedents is generally more useful than a broad benchmark that includes only loosely similar matters.

Maximise Profitability

Maximise Profitability uses precedent-informed resourcing and quote data to help users review whether a different resource configuration may improve profitability.

In practice, users should treat this as a structured profitability review:

Confirm the quote context and scope are complete.
Review the precedent evidence or match quality available for the quote.
Check the suggested resource mix against the matter team's expectations.
Review the impact on fees, hours, billing realisation, and profit score.
Apply changes only when the suggested configuration makes commercial and delivery sense.

Ayora Quote Builder can calculate profitability measures such as profit score and margin-related outputs. However, the final decision should remain with the user, especially where matter complexity, client expectations, staffing constraints, or strategic pricing considerations are not fully captured in precedent data.

Recommended Workflow

Use this workflow when building or reviewing a quote with precedent data:

Start with the quote context. Add or confirm the client, work type, practice area, quote characteristics, currency, and fee range.
Define the scope. Identify the workstreams or scope items that should be priced. If the language is ambiguous, confirm whether the user means a broad workstream or a specific scope item.
Search for relevant precedents. Use precedent search or agent support to find similar won matters.
Review match quality. Check whether the precedent set is sufficiently close to the current quote before using it as evidence.
Benchmark hours and grade mix. Review typical hours and fee-earner allocation for the selected components.
Model the quote. Use the benchmarked inputs, user-provided assumptions, or adjusted hours and grade mix to calculate fees and profitability.
Review profitability. Compare the proposed resource mix and pricing approach against the desired profit score and commercial objectives.
Apply judgement. Adjust for known differences that precedent data may not capture, such as client sensitivity, urgency, market positioning, matter team availability, or unusually complex scope.

How To Interpret Precedent Outputs

Output	How to use it
Match quality	Use it to understand how closely a precedent aligns with the current quote. Stronger matches are usually better evidence.
Similar won quotes	Use these as a starting point for fee, scope, and resourcing discussions.
Workstream or scope item benchmarks	Use these to size individual areas of work, especially in bottom-up pricing.
Hours benchmarks	Review whether the benchmark is realistic for the current matter before using it in a quote.
Grade mix	Use it to compare the planned team structure with similar matters.
Profit score	Use it to understand the profitability impact of fees, hours, rates, discounts, and resourcing.
Billing realisation	Use it to understand whether previous matters recovered the expected fee levels.

Precedent outputs are not a substitute for scope review. If the current matter has unusual complexity, compressed timing, unfamiliar jurisdictions, special client requirements, or uncertain assumptions, users should adjust the quote rather than copy a precedent result.

Good Practice

Use complete quote data before searching for precedents.
Prefer confirmed workstreams and scope items over vague descriptions.
Review whether precedents are won matters, draft quotes, or another status.
Check the number and quality of precedent matches before relying on benchmark outputs.
Treat outliers carefully, especially where one precedent is much larger or smaller than the current quote.
Use precedent benchmarks to support a pricing conversation, not to remove user review.
Review the live quote after applying any suggested resourcing or profitability changes.

Troubleshooting

Issue	What to check
No precedents are found	Check whether the quote has enough structured data, including work type, characteristics, scope, fee range, and practice area.
Results are too broad	Add or refine work type, characteristics, workstreams, scope items, fee range, or client filters.
Results are too narrow	Remove optional filters, widen the fee range, or use broader workstream-level search criteria.
Benchmarks do not match expectations	Check whether the selected precedents are genuinely similar and whether the current matter has unusual scope or complexity.
Profitability recommendation is unavailable	There may not be enough comparable precedent data, or the quote may need more complete rates, hours, or scope information.
Suggested grade mix looks unrealistic	Compare the suggestion with matter team constraints, partner involvement expectations, client requirements, and delivery risk.