This appendix provides two tools: a **Vendor RFP Evaluation Matrix** for scoring and comparing legal technology vendors on a consistent basis, and an **AI-Ready Scorecard** for assessing whether a vendor’s platform is architecturally prepared for the AI-augmented workflows described in Chapters 13-14.
## Part 1: The Vendor RFP Evaluation Matrix
### Evaluation Categories and Weightings
The weightings below reflect a balanced assessment. Adjust weightings based on your organisation’s specific priorities — a firm facing a regulatory deadline will weight compliance capabilities higher; a firm prioritising user experience will weight adoption factors higher.
<table header-row="true">
<tr>
<td>Category</td>
<td>Weight</td>
<td>Subcriteria</td>
</tr>
<tr>
<td>**Functional Fit**</td>
<td>30%</td>
<td>Core feature coverage, workflow alignment, configurability, reporting capabilities</td>
</tr>
<tr>
<td>**Integration**</td>
<td>20%</td>
<td>API availability, native connectors (CRM, ERP, DMS), middleware compatibility, data export/import</td>
</tr>
<tr>
<td>**User Experience**</td>
<td>15%</td>
<td>Interface design, mobile access, learning curve, self-service capability</td>
</tr>
<tr>
<td>**Security & Compliance**</td>
<td>15%</td>
<td>Data encryption, hosting options (cloud/on-prem/hybrid), SOC 2/ISO 27001, data residency, privacy compliance</td>
</tr>
<tr>
<td>**Vendor Viability**</td>
<td>10%</td>
<td>Company size and funding, customer base, product roadmap, financial stability</td>
</tr>
<tr>
<td>**Commercial Terms**</td>
<td>10%</td>
<td>Pricing model, contract flexibility, implementation costs, ongoing support costs</td>
</tr>
</table>
### Scoring Scale
<table header-row="true">
<tr>
<td>Score</td>
<td>Definition</td>
</tr>
<tr>
<td>**5 — Exceeds**</td>
<td>Fully meets the requirement with additional capabilities beyond the specification</td>
</tr>
<tr>
<td>**4 — Meets**</td>
<td>Fully meets the requirement as specified</td>
</tr>
<tr>
<td>**3 — Partially Meets**</td>
<td>Meets the requirement with minor gaps or workarounds required</td>
</tr>
<tr>
<td>**2 — Significant Gaps**</td>
<td>Material gaps that would require custom development or process changes</td>
</tr>
<tr>
<td>**1 — Does Not Meet**</td>
<td>Requirement not addressed; no viable workaround</td>
</tr>
</table>
### The Evaluation Scorecard
<table header-row="true">
<tr>
<td>Category (Weight)</td>
<td>Vendor A</td>
<td>Vendor B</td>
<td>Vendor C</td>
</tr>
<tr>
<td>Functional Fit (30%)</td>
<td>\[Score × 0.30\]</td>
<td>\[Score × 0.30\]</td>
<td>\[Score × 0.30\]</td>
</tr>
<tr>
<td>Integration (20%)</td>
<td>\[Score × 0.20\]</td>
<td>\[Score × 0.20\]</td>
<td>\[Score × 0.20\]</td>
</tr>
<tr>
<td>User Experience (15%)</td>
<td>\[Score × 0.15\]</td>
<td>\[Score × 0.15\]</td>
<td>\[Score × 0.15\]</td>
</tr>
<tr>
<td>Security & Compliance (15%)</td>
<td>\[Score × 0.15\]</td>
<td>\[Score × 0.15\]</td>
<td>\[Score × 0.15\]</td>
</tr>
<tr>
<td>Vendor Viability (10%)</td>
<td>\[Score × 0.10\]</td>
<td>\[Score × 0.10\]</td>
<td>\[Score × 0.10\]</td>
</tr>
<tr>
<td>Commercial Terms (10%)</td>
<td>\[Score × 0.10\]</td>
<td>\[Score × 0.10\]</td>
<td>\[Score × 0.10\]</td>
</tr>
<tr>
<td>**Weighted Total**</td>
<td>**\[Sum\]**</td>
<td>**\[Sum\]**</td>
<td>**\[Sum\]**</td>
</tr>
</table>
### Key RFP Questions by Category
**Functional Fit:**
- Describe how your platform handles \[specific workflow, e.g., multi-party contract negotiation with parallel review tracks\]
- Provide a demonstration of \[specific feature\] using our sample data/scenario
- What configuration is required to support our \[specific process requirement\]?
**Integration:**
- List all native integrations with \[CRM/ERP/DMS platforms in use\]
- Describe your API architecture: REST/GraphQL, authentication method, rate limits, webhook support
- Provide documentation for your data export capabilities: formats supported, scheduling, and completeness
**Security & Compliance:**
- Where is data hosted? Can we specify data residency jurisdiction?
- Provide your most recent SOC 2 Type II report and penetration test summary
- Describe your data retention and deletion policies, including upon contract termination
- How do you handle sub-processors, and what is your notification process for sub-processor changes?
**Commercial:**
- Provide pricing for \[X\] users, \[Y\] contract volume, for a \[Z\]-year term
- What costs are not included in the licence fee (implementation, training, integrations, premium support)?
- What is your standard contract term, and what are the termination provisions?
## Part 2: The AI-Ready Scorecard
### Why AI-Readiness Matters
A legal technology platform purchased in 2026 will be expected to support AI-augmented workflows within 12-24 months of deployment. Selecting an AI-ready platform extends the platform’s useful life and maximizes your return on investment. The AI-Ready Scorecard assesses a vendor’s preparedness across five dimensions.
### The Scorecard
<table header-row="true">
<tr>
<td>Dimension</td>
<td>Question</td>
<td>Score (1-5)</td>
<td>Notes</td>
</tr>
<tr>
<td>**Data Architecture**</td>
<td>Does the platform store data in structured, normalised formats with comprehensive metadata?</td>
<td></td>
<td></td>
</tr>
</table>
```plain text
  |
```
**Data Architecture** \| Can data be exported in machine-readable formats (JSON, structured CSV) for AI training and RAG deployment? \|**API Maturity** \| Does the platform expose comprehensive APIs that enable external AI systems to read and write data? \|**API Maturity** \| Does the API support event-driven triggers (webhooks) for real-time AI workflow integration? \|**Native AI** \| Does the platform include native AI capabilities (summarisation, extraction, classification)? \|**Native AI** \| Can native AI features be disabled or replaced with the organisation’s preferred AI models? \|**Extensibility** \| Does the platform support custom AI model integration (bring-your-own-model)? \|**Extensibility** \| Can the platform serve as a data source for external RAG architectures? \|**Governance** \| Does the platform provide AI audit trails (inputs, outputs, model version, confidence scores)? \|**Governance** \| Does the platform support HITL workflows with configurable review checkpoints? \|**Total** \|**/50** \|
### Scoring Interpretation
<table header-row="true">
<tr>
<td>Score Range</td>
<td>AI-Readiness Assessment</td>
</tr>
<tr>
<td>**40-50**</td>
<td>AI-ready. The platform can support current and near-future AI workflows.</td>
</tr>
<tr>
<td>**30-39**</td>
<td>Partially ready. Some foundational capabilities exist; gaps should be addressed in the vendor roadmap.</td>
</tr>
<tr>
<td>**20-29**</td>
<td>Significant gaps. AI integration will require substantial workarounds or middleware.</td>
</tr>
<tr>
<td>**Below 20**</td>
<td>Not AI-ready. Selecting this platform will likely require replacement within 2-3 years as AI becomes essential.</td>
</tr>
</table>
The AI-Ready Scorecard is a forward-looking insurance policy. A platform that scores well on functional fit today and strongly on AI-readiness will serve your organisation for years to come. Factor the AI-Ready score into your overall vendor evaluation — a platform that is slightly less feature-rich today but significantly more AI-ready is often the better long-term investment.