The legal operating system built on Microsoft 365.

Donna365 is being built as a family-law-first persistent AI legal operating system, a matter-management platform with a continuous, matter-grounded operating layer and a clear ambition to build a credible, scalable product business starting in Australia.

The investment story
One platform thesis, not a collection of features.

Donna365 becomes more compelling when it is framed as one integrated commercial thesis: workflow depth, persistent AI inside the work, Microsoft-native fit, governance-aware execution, and a focused family law wedge that has a clear path to widen.

01 Workflow spine

Lead to matter to outcome

Intake, matters, tasks, documents, deadlines, and reporting move through one governed operational flow, not across disconnected tools.

02 AI inside the work

Persistent, matter-grounded support

Drafting, summarising, intake, research, and always-present next-step support where lawyers already operate, not beside it as a detached prompt box.

03 Governance as product

Permissions, audit, and oversight built in

Security controls, auditability, approval gates, and operational visibility are core to the product story, not added later as an afterthought.

1 wedge

Family law first

4 layers

SaaS, AI modules, onboarding, and expansion

Global path

AU first, then UK, US, and Canada

Why now
The market pain is operational, not theoretical.

Law firms have experimented with AI, but most still run the real business across disconnected systems, manual workarounds, and incomplete visibility. The commercial gap is no longer awareness of AI. It is turning usage into disciplined workflow value.

  • 01
    Fragmented legal operations

    CRM, matters, documents, billing, and reporting still live across separate tools and handoffs.

  • 02
    Admin-heavy execution

    Teams rely on inbox memory, manual chasing, duplicated data entry, and spreadsheet reconstruction to keep matters moving.

  • 03
    AI outside the workflow

    Generic AI tools help with isolated tasks but typically lack matter context, policy control, auditability, or structured adoption paths.

  • 04
    Weak commercial visibility

    Principals still struggle to see live workload, risk, deadlines, and profitability in one operating view.

Investor lens
The next winner turns AI usage into workflow value and commercial discipline.

The legal market does not need another AI wrapper. It needs an operating layer that connects workflow, governance, and measurable commercial outcomes.

  • A
    Workflow ROI remains underbuilt

    Adoption has outrun platform design. The room to build a more complete operating layer is substantial.

  • B
    Microsoft gives a credible distribution wedge

    Donna365 can meet firms where their data and user habits already live, inside Teams, Outlook, Word, and SharePoint.

  • C
    Governance is now a buying criterion

    Security, audit, and approval controls are no longer back-office details. They have become core selection factors for legal teams.

Product thesis
The legal operating system for Microsoft-first firms.

Rather than bolt AI onto legal work, Donna365 is designed to make workflow, collaboration, AI assistance, and operational controls move as one system, inside the Microsoft environment firms already rely on.

One operating spine

Intake, matters, tasks, documents, deadlines, reporting, and permissions connect through one legal workflow model, not spread across competing tools.

Microsoft-native fit

The product story is strongest where firms already rely on Teams, Outlook, Word, SharePoint, and the Microsoft data stack. Distribution and adoption improve when the product feels familiar.

Governed AI in context

Donna AI sits inside live legal work with oversight, traceability, and a clearer path to practical productivity gains, not as a detached assistant with no matter awareness.

Category timing
Why the timing matters now.

The market has crossed the awareness line. Buyers are beginning to care more about governance, integration, and measurable leverage than about experimenting with another generic AI tool.

1
Explore

Firms begin with generic AI and personal productivity use cases.

2
Expand

Pilots broaden, but readiness, policy, and team-level adoption remain patchy.

3
Integrate

Workflow, matter context, training, and governance become buying priorities. We are here.

4
Transform

The winning platforms deliver multi-step execution and stronger unit economics at scale.

Market scope
Focused wedge, then widens.

The commercial story starts with a focused wedge in Australian family law firms. As references, implementation maturity, and workflow proof strengthen, the model extends across adjacent practice areas and geographies.

A$33.6bn

Australian legal services market

23,699

Law firms across Australia

>97%

Of firms under 20 staff

AU first

Then UK, US, and Canada as the platform and implementation motion mature

Competitive position
Workflow depth, Microsoft fit, and governance-aware AI.
Beachhead

Family law provides a sharper initial category narrative, tighter product focus, and cleaner design-partner learning loops.

Expansion logic

Once workflow packs, onboarding, and references are proven in family law, the model extends to conveyancing, Wills and estates, and adjacent practice areas.

Geographic path

Australia first, then the United Kingdom, United States, and Canada as the platform and implementation motion mature.

Commercial model
Revenue expands as the platform footprint deepens.

Value does not stop at seat pricing. It grows through onboarding, modules, and embedded workflow dependence that raises switching costs and improves account value over time.

A$129–A$199

Indicative seat pricing per user per month for the base SaaS layer

A$30k–A$60k

Illustrative ARR for a typical 15 to 25 user customer before expansion layers

4 layers

Core SaaS, AI modules, onboarding, and ecosystem or service extensions

ACV upside

Governance, finance, and compliance modules can increase account value over time

Annual contracts, onboarding revenue, and deeper workflow dependence can improve cash-flow quality, retention, and long-term platform leverage. The pricing and ARR figures above are illustrative, not confirmed traction.

Go-to-market
Go-to-market starts narrow and credibility-led.

The most believable early motion is a founder-led wedge with design partners, references, and implementation proof before scale channels open.

01 Initial wedge

Founder-led, design-partner anchored

  • Australian firms already committed to Microsoft 365.
  • Family law as the first practice pack and repeatable proof point.
  • Founder-led customer development to tighten fit, references, and messaging.
02 Scale motion

Thought leadership and implementation-led expansion

  • Thought leadership, referrals, and implementation-led partnerships.
  • Module expansion that lifts ACV and increases operational dependence.
  • Geographic extension after onboarding, packaging, and product maturity improve.
What investors should watch
The proof points that matter most are operational.

Donna365 becomes more investable as it proves that workflow depth, persistent AI, and Microsoft-native fit can turn into repeatable customer value and stronger commercial signals.

  • 1
    Implementation repeatability

    Can the product be set up cleanly and predictably for firms without high-friction bespoke effort?

  • 2
    Reference quality

    Do early firms become credible references for workflow outcomes, not just technical deployment?

  • 3
    Workflow dependence

    Does Donna365 become central to how work moves, not just another tool in the stack?

Defensibility
Strong defensibility is earned through operating depth.

The long-term value story improves when Donna365 becomes harder to replace because it owns workflow structure, matter-grounded context, operational visibility, and governed AI behavior inside the firm's real day-to-day work.

The more Donna365 becomes the operating rhythm of the firm, the stronger the commercial and strategic story becomes.

Founder-market fit
Built from real operating pain inside legal environments.

Donna365 is emerging from observed workflow friction, not abstract software theory. The product direction is being sharpened against real-world legal operations.

CB
Christian Bolog

Grounded exposure to how legal teams actually work, where the friction sits, and where systems break down under operational pressure.

TFL
Live proving ground

The product direction is being shaped against the real operating pressure of Australian family law practice, not speculative feature planning.

AI
Automation thesis

A clear focus on workflow design, Microsoft leverage, and persistent AI execution gives the story commercial substance beyond a generic product pitch.

FAQs
Questions from investors and strategic partners
Donna365 is taking a family-law-first approach, starting with Australian firms as the initial market wedge before broader expansion logic is pursued. Family law provides a tighter product focus and cleaner design-partner learning loops than attempting to address every legal segment from day one.
It gives Donna365 a sharper category story, a specific workflow to build around, and a more believable path to early commercial traction. Family law firms have demanding operational needs, ongoing admin pressure, and a strong appetite for better workflow support, without the complexity of large enterprise legal procurement cycles.
The story is not generic AI tooling. It is workflow depth, persistent AI inside the work, Microsoft-native fit, and governance-aware execution. Donna365 is designed to own the operating layer (intake, matter management, tasks, documents, reporting, and governed AI) rather than sit beside existing workflows as a detached assistant.
Most Australian small firms already rely on Teams, Outlook, Word, and SharePoint. A product that works inside that estate rather than asking firms to migrate to a new tool has a materially better adoption story. Microsoft Dataverse as the matter spine also strengthens the data governance and compliance positioning.
Donna365 has a functional v1 connected to Dataverse, a finalised logo system, a pitch deck, and an active go-to-market workstream underway. The current focus is on design-partner cohort launch, website execution, and investor-readiness. Specific commercial traction figures are not disclosed at this stage.
The strongest proof points will be implementation repeatability (can the product be set up cleanly without high-friction bespoke effort), reference quality from early design-partner firms, and workflow dependence: does Donna365 become central to how work moves rather than a peripheral add-on?
The model supports four revenue layers: core SaaS seats, AI module add-ons, implementation and onboarding fees, and ecosystem or service extensions. Annual contracts and deeper workflow integration can improve cash-flow quality and raise the practical cost of switching, improving long-term retention.
Australia is the beachhead market. Once workflow packs, onboarding, and references are proven, the model is designed to extend to the United Kingdom, United States, and Canada, markets with structurally similar small-firm legal sectors and high Microsoft 365 penetration.
The intent is a platform business. Implementation services support adoption in the early cohort period and contribute revenue, but the long-term commercial story is a scalable SaaS platform with expanding module ACV, not a professional services engagement model.
Register interest or request a conversation via the contact page. The founders conduct initial conversations directly. There is no formal raise process to disclose at this time; Donna365 welcomes conversations with investors and strategic partners aligned to legal-tech, workflow software, and Microsoft-ecosystem opportunities.
Contact

Book a discussion and demo.

Bring one real workflow and we will show how Donna365 can support matter work, governed AI, reporting and rollout inside Microsoft 365.

  • See the product flow, not a generic slide deck.
  • Talk through your firm size, practice area and current bottleneck.
  • Discuss design-partner fit, rollout path and next steps.
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