Case study · Legal AI SaaS

We helped turn SLAY AI into a live legal product with 1,000+ paying subscribers.

SLAY AI is a document-heavy legal workspace built around evidence, drafting, matter organization, and repeat product usage. Techstone handled the product layer end to end and helped launch a real business, not a concept demo.

Live product: app.slaypro.ai

SLAY AI workspace dashboard

A live product surface from the workspace: structured matter views, outcome tracking, and product signals built for repeat use instead of one-off delivery.

Verified outcome

The numbers are part of the proof because this build reached real product traction.

These are the commercial and usage signals tied to the live product. They are the strongest reason to use SLAY AI as Techstone's flagship legal case study.

Monthly recurring revenue

$59.3K

27.9% MoM

Active subscribers

1,007

24.5% MoM

New customers

1,392

25.1% MoM

Net volume

$52.8K

28.7% MoM

Techstone scope

We handled the product layer end to end.

The strongest version of this case study is not 'we helped on development.' It is that Techstone shaped, built, and shipped the product surface that users actually interact with.

Product strategy and feature scoping
User experience and workflow design
Client-facing legal workspace
Admin and operational controls
AI drafting and evidence workflows
Secure file handling and storage
Subscriptions, plans, and billing logic
Production launch and readiness

Why this existed

The product had to solve a real legal workflow problem, not just showcase AI.

People dealing with sensitive legal matters do not need novelty. They need a workspace that can organize evidence, support drafting, structure the matter, and keep the experience commercially viable.

This is live product proof, not a design exercise.

The category is high-trust, document-heavy, and operationally complex - exactly where generic AI wrappers usually break down.

The outcome validates Techstone's legal wedge with a real product, real usage, and defendable commercial numbers.

Workflow pressure

These were the hard parts that had to be solved well for the product to matter.

The useful story is not that SLAY AI includes AI. It is that the AI and workflow design had to survive legal complexity, document volume, and commercial reality at the same time.

Evidence starts scattered

The product had to turn files, screenshots, messages, and fragmented records into a usable matter workflow instead of another storage bucket.

Users need fast structure

People dealing with legal issues need summaries, timelines, and the next action quickly. The interface had to create clarity, not more cognitive load.

Billing could not be generic

The commercial model needed flexible subscriptions and professional workflow support instead of a single flat SaaS plan.

AI had to stay grounded

This could not behave like a loose chatbot. Drafting and answers needed to stay tied to the record, the matter, and the user workflow.

Large document sets still had to feel fast

The experience had to remain responsive even when cases involved high-volume files, long records, and repeat retrieval across the same matter.

What shipped

The final product had to support real usage across the client journey, not one isolated feature.

This is the cleaner way to talk about the build: product surfaces and operating capabilities, not a long dump of internal implementation details.

Matter and case organization

A structured workspace for clients, matters, documents, deadlines, and progress across the legal workflow.

AI drafting and assistance

Prompt-driven help inside the product for summaries, drafting, and guided next steps within the matter context.

Secure document workflows

Controlled uploads, file organization, evidence handling, and durable records suitable for high-trust operations.

Timeline and incident handling

Features for turning scattered events into an ordered narrative users and professionals can work from.

Billing and subscription logic

Plans, upgrades, and commercial controls designed for recurring revenue instead of one-off delivery.

Admin visibility and controls

Operational tooling for user management, activity oversight, and ongoing product support after launch.

SLAY AI product surface

Why this matters for Techstone

SLAY AI is the proof asset that makes the legal wedge credible.

If Techstone wants to win legal and documentation-heavy work, this is the case study that should carry the argument. It shows product thinking, high-trust workflow design, recurring revenue, and operational depth in one engagement.

Category fit

Legal workflows, high-trust document handling, structured intake, and AI-assisted drafting.

Commercial fit

A product with defendable revenue, subscriber growth, and repeat usage - not just a launch announcement.

Positioning fit

This is the kind of build that separates Techstone from generic dev shops and surface-level AI service claims.

Offer

The right next step is a Legal Workflow Audit.

If someone lands here from outbound, they should not have to guess what to do next. The offer is a fixed-scope audit that identifies what to automate, what to productize, and what the first build phase should be.

Current workflow map
Bottleneck and risk diagnosis
Recommended product surface
AI-use recommendations
MVP scope and priority list
Phased build roadmap

Next step

If your workflow is document-heavy, high-trust, and still too manual, that is the product opportunity.

Bring the intake mess, the evidence problem, or the proprietary expert method. Techstone can scope the product layer that turns it into something users actually adopt and pay for.

Book a Legal Workflow Audit

Start with a 20-minute fit call. If the workflow is a match, Techstone will map what should become software, what should stay human-led, and what the right MVP should be.

Tech Stone

Canada

20 Camden St, Toronto, ON M5V 1v1, Canada

(437) 453 3291

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Pakistan

51 H Block Johar Town Lahore, Punjab, 54000, Pakistan

+92 320 4634670

Request the Audit

Share the legal workflow, evidence process, document bottleneck, or product idea you want reviewed.