WORKED EXAMPLES

We'd rather show you how this is designed to be used than fabricate customer logos.

Modelled scenarios across legal practice. Indicative figures, our published pricing, no actor-paid testimonials. If you want a reference call, ask — we'll arrange one.

Illustrative — not real customer data. The scenarios below are modelled examples of how Serverity is designed to be used. Figures reflect indicative usage at our published pricing model. Real outcomes depend on team workflow, matter complexity and the user's own assumptions.

ChambersIllustrative

Employment chambers — 5 barristers

Situation

A 5-member employment set is spending 4-6 hours per matter on case preparation, with junior tenants stretched managing authority bundles for tribunal hearings.

How Serverity fits

Serverity handles brief ingestion, chronology extraction, issue identification, and authority verification. The List of Authorities generator produces OSCOLA-formatted lists with pinpoint citations in minutes.

3.5 hrs

Modelled saving per matter

10 mins

Authority bundle preparation

Indicative

Cost reflects usage-only pricing

5x

Modelled payback multiple

Sole practitionerIllustrative

High-street solicitor — sole practitioner

Situation

A sole practitioner handling employment, housing and family matters wants to tighten client communications and intake quality.

How Serverity fits

Automated client update emails, intake pipeline, and AI-assisted engagement letters help every client receive regular updates and proper onboarding. Outputs reviewed by the practitioner before sending.

Tighter

Communication cadence

70%

Modelled intake-time reduction

2 mins

Engagement letter draft

Indicative

Usage-only cost

Law firmIllustrative

Small litigation firm — 8 fee earners

Situation

An 8-person litigation firm wants shared visibility across matters: who the opponents are, which matters look at risk, and where firm-wide patterns emerge.

How Serverity fits

Opponent intelligence shares opposing-solicitor history across firm matters. Case health checks flag at-risk matters. Outcome tracking surfaces patterns by practice area, drawn from the firm's own concluded matters.

Day one

Opponent context on new matters

At-risk

Flagged matters surface early

Firm-wide

Outcome-pattern visibility

Indicative

Usage-only cost

ConsumerIllustrative

Consumer self-representation — employment tribunal

Situation

A self-represented claimant facing a respondent with a large employment law firm. No legal background, first time in a tribunal.

How Serverity fits

Progressive disclosure walks them through each stage — document upload, chronology, issues, drafting, bundle assembly. A second AI pass cross-checks each draft and surfaces gaps for the user to resolve.

Filing-ready

Hearing bundle prepared without a solicitor

Sourced

Authorities cross-checked

Second pass

Cross-check on every draft

Indicative

Usage-only cost