Workflow Drag Review
We review where intake, records chase, deposition scheduling, claims exceptions, or client-status work is creating repeated manual drag.
Free Legal Ops Workflow Fit Call
For litigation-support teams that want to know whether one workflow is ready for AI-assisted implementation.
This is a focused first conversation for records retrieval, deposition, settlement, claims, MSP, and legal-services operators dealing with intake, status chase, document review, and exception queues.
Best fit if the work still moves through inboxes, portals, PDFs, spreadsheets, and human judgment, and you need a safer way to use AI without removing review.
You will talk directly with Jason Campbell. No handoff to a generic sales team.
Records and claims workflows
15-20 minutes
$15k sprint if there is fit
What We Cover
What happens during the fit call
System and Data Boundary Review
We look at the current stack, what each system owns, and where sensitive documents, PHI/PII, approvals, and review requirements need guardrails.
Human-Reviewed AI Fit Review
We identify where AI can assist with classification, extraction, summarization, drafting, or status visibility while humans keep judgment and approval.
Paid Sprint Direction
You leave knowing whether the next step should be the $15,000 Legal Ops Workflow Sprint or whether the workflow is not ready for custom implementation.
Good Fit
Who this call is for and who it is not for
Good Fit If
- You have a high-context internal workflow that is too custom for off-the-shelf automation
- You need tailored AI use cases, not generic prompts or bolt-on sequences
- Your process depends on approvals, exceptions, documents, or specialized judgment
- You are open to paid strategy before implementation begins
Not The Best Fit If
- You only need a simple lead-gen or template-based automation
- You want abstract AI brainstorming with no defined internal use case
- You are not ready to invest in paid strategy or boutique implementation
- You need a full custom software platform before clarifying the first workflow to improve
Common Starting Workflows
Examples of the workflows we often review first
Internal Research, Review, and Decision Prep
Support teams that need to absorb information, classify it, summarize it, and move it toward a real human decision.
Approvals, Documents, and Exception Handling
Reduce manual chasing across document-heavy reviews, nonstandard cases, approvals, and internal control points.
Operational Intelligence and Visibility
Bring scattered operational data into a more useful view so leadership can see status, aging work, and next-best actions.
Tailored Internal AI Use Cases
Strong fit for businesses that need AI-forward systems shaped around how their internal operations actually work, not around a generic template.
How It Works
A simple path from workflow friction to a practical next step
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1. Book
Choose a time and bring one workflow that is creating drag, delays, rework, or manual overhead.
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2. Review
We walk through your current process, systems, handoffs, and the places where the workflow keeps getting stuck.
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3. Prioritize
We narrow in on the implementation opportunity most likely to create immediate business value.
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4. Decide
You leave with a clearer next step whether you want to implement right away or phase it in later.
Direct Call
You talk directly with Jason Campbell, the person who scopes and implements the work.
Practical First Step
The audit is meant to isolate one high-value workflow, not push a broad transformation project.
Current Stack Friendly
Most recommendations are built around the systems you already use today.
Paid Strategy First
If there is a fit, the next step is a paid strategic audit or architecture sprint before any build work begins.
Before You Book
Want a little more context first?
How We Work
See what it is actually like to work with Campbell from first call through implementation.
Open how we workImplementation Process
Understand how the audit turns into a blueprint, a build, testing, and post-launch improvement.
Open the implementation processData Handling
Review the plain-English guardrails around access, sensitive workflows, and practical AI use.
Open data handlingWho This Is For
Use the fit guide to see whether this is the right kind of engagement for your business.
Open the fit guidePricing Snapshot
Legal-ops pricing for the next step after the fit call
The fit call is free. If there is a fit, the next step is the paid Legal Ops Workflow Sprint. Implementation is fixed-fee because the value is in tailoring AI and automation to one real legal-services workflow.
Entry Point
Fit Call
Free
Short call to test whether a boutique custom approach is really needed.
Paid Strategy
Legal Ops Workflow Sprint
$15,000
7-business-day paid sprint for one records, deposition, claims, settlement, or MSP workflow.
Buildout
Workflow Buildout - Wave 1
$55k-$85k
4-6 week implementation of the first production workflow.
Ongoing
Managed Workflow Optimization
$12.5k-$25k/mo
Monitoring, tuning, new automations, reporting, and monthly workflow review.
Expansion
Multi-Workflow Program
$85k+
Best for companies whose workflow logic is too bespoke for standard automation.
Program
Multi-Workflow AI Program
$45,000+
Best for several connected internal use cases, multiple teams, and deeper orchestration.
Ongoing optimization and oversight plans start at $4,000/month.
That covers monitoring, governance support, prompt and model tuning, workflow updates, and iterative improvements after launch.
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