Law Firm AI Vendor Evaluation Checklist

The best legal AI demo is not a tour of everything the product can generate. It is one representative matter moving through the exact work the firm wants to improve.

Every finalist should receive the same fictional, closed, or carefully redacted scenario. Give each product the same imperfect source material, the same requested outcome, and the same reviewer. Then compare the complete path from source to usable work.

Define the buying job first

Write one sentence:

We are evaluating software to reduce ______ while preserving ______ and stopping when ______.

Example:

We are evaluating software to reduce manual client document follow-up while preserving source visibility and stopping when legal sufficiency requires attorney judgment.

If the buying team cannot complete that sentence, it is too early to compare features.

Build a representative test matter

Include the conditions that cause real work:

• A missing item
• A mislabeled or wrong-period document
• A contradiction between intake and a record
• A low-quality or incomplete source
• A task the system should complete
• A question the system should refuse or route to a lawyer
• A client-facing output
• A correction made by the reviewer

A clean sample provided by the vendor does not reveal how the product handles the firm’s actual friction.

Score the source-to-action chain

Source

• Can the reviewer see which document, passage, event, or instruction produced the finding?
• Does the product distinguish client statements, evidence, legal authority, notes, and inference?
• What happens when two sources disagree?
• Can the reviewer open the source without leaving the workflow?

Machine job

• Is the job defined, or does the product simply “analyze” the matter?
• Does it expose uncertainty and low confidence?
• Can administrators limit what the workflow may do?
• Can it use practice- and firm-specific instructions without hiding them in one employee’s prompt history?

Action

• Does the output become a task, request, calendar proposal, client message, record, or review queue?
• Who receives it?
• Does someone have to copy and paste it into the matter?
• Can the workflow continue after the first output?

Decision receipt

• Is the reviewer, correction, approval, and final result recorded?
• Can the firm see what changed?
• Does the next similar matter benefit from an approved instruction?
• Can the history be exported?

Measure review cost, not generation speed

Record:

• Time to prepare the input
• Time until the first output
• Time to verify the result
• Corrections and rejected findings
• Manual transfer into another system
• Follow-up required after the output
• Total time until the work is usable

A ten-second summary that takes twenty minutes to verify is not a ten-second workflow.

Ask the complete data-handling questions

Use the client-data checklist to document:

• Information transmitted
• Processing location
• Model providers and subprocessors
• Retention by data type
• Training and product-improvement use
• Human access
• Permissions and firm isolation
• Audit controls
• Export and deletion
• Incident notification

Ask for the contract or current documentation supporting every material answer.

Test implementation reality

Ask:

• Who configures the first workflow?
• What must the firm clean or map first?
• What training does each role need?
• How are templates and instructions updated?
• What happens when the current administrator leaves?
• How does the product handle a changed workflow?
• What does support cover?
• Which parts require professional services?
• What is the rollback or exit plan?

The implementation cost belongs in the buying decision even when setup is described as free.

Test the client experience

For client-facing automation, use a phone and behave like a real client:

• Misunderstand the request
• Upload the wrong file
• Upload only one page
• Reply in plain language
• Ask what is still missing
• Delay the response
• Provide information the system should not interpret legally

Evaluate clarity, tone, privacy, accessibility, mobile usability, exception handling, and the path to a person.

Compare total cost

Include:

• Subscription and minimum term
• Per-user or per-matter charges
• AI usage limits
• Storage or page limits
• Required add-ons
• Implementation and migration
• Integration products
• Staff administration
• Verification and correction time
• Exit and export

The cheapest line item can create the most expensive workflow.

Use an evidence-backed scorecard

Score each category from one to five and record the evidence observed during the test.

Change the weights before the demos. Do not adjust them afterward to justify the most exciting presentation.

Questions DocketBuddy expects buyers to ask

DocketBuddy publishes honest practice-specific software comparisons, including situations where another product may be stronger. Buyers should test DocketBuddy with the same representative matter and ask the same source, security, workflow, implementation, and export questions.

The firm should choose DocketBuddy when it proves the work, not because DocketBuddy wrote the scorecard.

Common Questions

What should a law firm ask an AI vendor in a demo? Ask the vendor to run one representative matter through the complete workflow, show every source and review gate, explain the data path, and export the resulting record.

How should legal AI accuracy be tested? Use known examples containing correct information, missing items, contradictions, low-quality sources, and conditions that should stop automation. Record false positives, missed issues, and verification time.

Should a law firm rely on vendor security certifications? Certifications can be useful evidence, but the firm should still understand the specific feature, account, data flow, subprocessors, retention, permissions, and contract.

What is the fairest way to compare legal AI products? Use the same representative matter, reviewer, success measures, and preselected scorecard for every finalist.

Method and scope

This checklist is a software-procurement framework, not a security audit, legal opinion, endorsement, or guarantee regarding any vendor.