Use Cases

Overview

Narrative delivers value to multiple stakeholders across the firm. While the core capability is the same, different teams use it for different purposes.

Stakeholder
Primary Use Case
Key Benefit

Pricing Teams

RFP response, fee scoping

Data-backed pricing confidence

Partners

Business development, pitches

Demonstrate relevant experience

Finance

Profitability monitoring

Catch overruns, improve margins

Marketing/BD

Credentials, tombstones

Instant access to firm track record


1. Pricing Teams: Win More, Price Better

The Challenge

Pricing teams face a recurring dilemma: price too high and lose the bid; price too low and erode margins. Without reliable benchmarks, they're forced to rely on partner memory and educated guesses.

How Narrative Helps

Intelligent Matter Retrieval & Curation

When an RFP arrives, the workflow starts with RFP Ingestion:

  • Upload the RFP document directly.

  • The system identifies key requirements and proactively asks clarifying questions to narrow the scope.

Ranked Relevance List Narrative automatically surfaces and selects the most relevant matters (whether that's 2 or 10+) based on the clarified criteria.

  • Automatic Selection: The system presents a "best fit" baseline set immediately.

  • Optional Manual Curation: Users can review this selection and explore the broader list, sorting by relevance, fees, or recency to fine-tune the comparison group.

Data-Driven Rationale & Justification

Narrative goes beyond simple averages. For your curated set, it generates a detailed pricing rationale:

  • Justified Choices: Explains why the recommended price is X, citing specific precedent matters (e.g., "Project Alpha had similar regulatory complexity, driving higher due diligence fees").

  • Impact Factors: Highlights variables that drive cost up or down (e.g., jurisdiction, deal size, opposing counsel).

  • Considerate of Scope: Crafts the proposal based on firm-approved scopes and assumptions that are relevant to the transaction.

  • Informed Decision Making: Empowering you to adjust the baseline with full context, knowing exactly how precedents support your choices.

This provides a defensible, data-backed narrative for the new proposal.

Phase-Level Breakdown

Drill into how effort typically distributes:

  • Due Diligence: 30% of hours

  • Negotiation/Drafting: 45% of hours

  • Closing: 25% of hours

Use this to build a credible, detailed scope for the client.

Scenario Modeling

Test different pricing approaches:

  • What if we use more junior leverage?

  • What if the client wants a fixed fee?

  • What's the margin impact of a 10% discount?

The Outcome

  • Faster responses: Hours of research reduced to minutes

  • Better win rates: More relevant, compelling proposals

  • Protected margins: Pricing grounded in actual data, not guesswork


2. Partners: Demonstrate Expertise, Win Work

The Challenge

Partners know they've done relevant work — but finding and articulating it quickly is another matter. When a prospect asks "What was it like when you handled something like this in the past?", the answer should be easily sourced and detailed.

How Narrative Helps

Proactive Experience Retrieval

Instead of simple keyword searches, partners can upload a pitch draft or client email.

  • The system extracts the core legal and commercial needs (e.g., "hostile takeover defense," "activist investor," "poison pill").

  • It proactively asks clarifying questions (e.g., "Is this a cross-border defense? Specific industry focus?").

Curated Relevance Engine

Narrative surfaces a ranked list of matters that match not just the keywords, but the complexity and context of the request.

  • Precision Search: Find "near misses" or matters with specific features (e.g., "deals where we successfully defended against [Activist Fund X]").

  • Manual Selection: Partners can browse the list, selecting the 3-5 most impactful examples to showcase.

Automated Tombstone Generation

For the selected matters, the system generates client-ready case studies (tombstones).

  • Relevance Rationale: Automatically adds a "Why This Matters" section, explaining specifically how this past win relates to the current pitch (e.g., "Relevant because we navigated similar regulatory hurdles in the same jurisdiction").

  • Quantified Success: Includes outcome metrics and key facts, formatted for immediate insertion into the pitch deck.

The Outcome

  • Credibility with clients: Specific, relevant examples beat generic credentials

  • Faster pitch preparation: No more chasing down matter details

  • Better team staffing: Match the right people to the opportunity


3. Finance: Monitor Profitability, Catch Problems Early

The Challenge

Finance teams often discover margin erosion after the fact — when write-offs are requested at billing time or matters close over budget. By then, it's too late to course-correct.

How Narrative Helps

Matter Performance Tracking

For active matters, compare progress against historical benchmarks:

  • This matter has used 80% of typical hours but is only 50% through timeline

  • Phase 2 is running 40% over comparable matters

  • Leverage ratio is lower than norm — too partner-heavy

Pattern Identification

Across the portfolio, spot systematic issues:

  • Which practice areas consistently exceed budgets?

  • Which matter types have the highest write-off rates?

  • Where is scope creep most common?

Profitability Analysis

For closed matters, analyze what drove outcomes:

  • Realization rates by matter type, client, practice area

  • Correlation between staffing mix and profitability

  • Impact of fee arrangements on margins

The Outcome

  • Early warning: Catch overruns before they become write-offs

  • Root cause analysis: Understand why some matters underperform

  • Better forecasting: More accurate budgets based on real data


4. Marketing & BD: Credentials on Demand

The Challenge

Marketing teams spend enormous time compiling credentials, deal lists, and case studies. Every pitch deck, directory submission, and RFP response requires hunting through emails, spreadsheets, and partner memories.

How Narrative Helps

Instant Credential Generation

Need a list of the firm's top 20 deals in healthcare M&A? Query and export in seconds, not days.

Tombstone Production

For deal tombstones and case studies, Narrative provides:

  • Matter name and client (anonymized if needed)

  • Deal value and outcome

  • Key facts and timeline

  • Team members involved

Directory Submissions

Legal directories (Chambers, Legal 500) require extensive matter lists. Narrative makes it easy to:

  • Filter by practice area, time period, deal size

  • Export in standard formats

  • Ensure consistency across submissions

Pitch Materials

When assembling pitch decks, pull:

  • Relevant matter summaries

  • Quantified track record stats

  • Team credentials and experience

The Outcome

  • Hours saved: Automate the manual data gathering

  • Consistency: Everyone works from the same source of truth

  • Completeness: Capture matters that might otherwise be forgotten


5. Future Use Cases: Expanding Value

As Narrative matures, additional use cases emerge:

External Benchmarking

Compare your matter economics against anonymized industry benchmarks:

  • Are we priced competitively for this work type?

  • How does our efficiency compare to peers?

  • Where do we have cost advantages?

AI Tool Impact Analysis

Current Capability: Track basic efficiency gains and savings from AI tool usage on specific matters.

Planned Expansion:

  • Broader Industry Benchmarking: Compare your AI efficiency gains against aggregated industry data.

  • Deep-Dive Analytics: Granular analysis of how AI impacted your own matters, comparing AI-assisted vs. traditional workflows (e.g., "GenAI tool X reduced Due Diligence hours by 30% across our M&A practice").

  • Strategic Investment Guidance: Data-driven recommendations on where to double down on technology spend.

Client Portfolio Analysis

Understand client relationships at a deeper level:

  • Which clients are most profitable?

  • Where is scope creep most common?

  • Which relationships are growing or declining?

Predictive Pricing

Use historical patterns to predict outcomes for new matters:

  • Expected hours, fees, timeline

  • Probability of budget overrun

  • Recommended staffing and fee structure


Value Summary

Use Case
Time Saved
Revenue Impact

RFP Response

15-20 hours per RFP

Higher win rates

Pitch Preparation

5-10 hours per pitch

More conversions

Pricing/Scoping

3-5 hours per matter

Fewer write-offs

Credentials/Marketing

20+ hours per quarter

Better positioning

Matter Monitoring

Ongoing

Early intervention

For a firm handling 100 RFPs per year, the time savings on RFP data gathering alone approach 5,000 hours (~$1.2m in staff costs) — before counting the revenue impact of better win rates, protected margins, and faster pitch preparation.

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