Case files

Agreement

Client contract

Appendix

Service agreement

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Spreadsheets couldn’t keep up with scale

Legal Asset Servicing is a Swiss-based platform for legal assets, used by litigation funders, law firms, insurers and their clients.

Before it existed, case tracking ran through Outlook, spreadsheets, and phone calls. Financial data lived in disconnected files across teams, and reporting was slow, often outdated by the time it reached decision-makers. Some firms tried off-the-shelf case management tools, but they were too generic, too expensive, or didn't reflect the unique workflows of legal assets.

The client needed a system built specifically for litigation funding – not a generic case tracker bent into shape. So they brought Vazco in to turn it into a usable and sellable product.

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Many workstreams,
one partnership

LAS did not hire four vendors. The same team ran product, AI, delivery process and go-to-market in parallel, which is why the AI work landed where it mattered and the sales material matched what the product actually does.

Product Engineering

Funding workflows turned into a platform that holds up at scale, with cases and portfolios live today in the UK, EU, and US.

Agentic Engineering

AI used to build the product, not just to run inside it. Feature lead time halved, with the process metrics below.

Applied AI

Built into the product rather than bolted on: invoice OCR, document parsing, risk flagging. We ran AI-UX workshops with the client before writing any code, so the effort went to the features where AI changes how the work gets done instead of decorating it.

Go-To-Market

Brand identity, positioning, competitive and market research, and a landing page paired with a live product prototype. Both are in active use with prospective customers today.

Product Engineering

Funding workflows turned into a platform that holds up at scale, with cases and portfolios live today in the UK, EU, and US.

Agentic Engineering

AI used to build the product, not just to run inside it. Feature lead time halved, with the process metrics below.

Applied AI

Built into the product rather than bolted on: invoice OCR, document parsing, risk flagging. We ran AI-UX workshops with the client before writing any code, so the effort went to the features where AI changes how the work gets done instead of decorating it.

Go-To-Market

Brand identity, positioning, competitive and market research, and a landing page paired with a live product prototype. Both are in active use with prospective customers today.

One platform,
built around the workflow

When spreadsheets couldn’t keep up with scale

Case tracking ran through Outlook, spreadsheets, and phone calls. Financial data lived in disconnected files across teams, and reporting was slow, often outdated by the time it reached decision-makers.

Some firms tried off-the-shelf case management tools, but they were too generic, too expensive, or didn't reflect the unique workflows of legal funders.
‍
The client needed a system built specifically for litigation funding - not a generic case tracker bent into shape. So they self-funded an internal build first, then brought Vazco in to validate it properly and turn it into a sellable product.

Many workstreams,
one partnership

Applied AI

building AI directly into the product itself: document parsing, risk flagging, and the AI-driven features on the roadmap. AI-UX workshops with the client guided where AI adds the most value before we built anything, so effort went to the highest-impact features first.

Product Engineering

turning the client's own business processes into a working, scalable platform.

Time-saving automation

Manual reporting and status checks have been replaced – reducing operational overhead.

AI-ready architecture

Designed from day one to support future AI capabilities – document parsing, budget risk modeling, and automated summaries.

One platform, built around the workflow

The platform is currently in live internal use. While full metrics are still in progress, early results show:

Faster reporting

From days to real-time visibility across stakeholders.

Adoption

Legal teams have shifted from siloed tools to daily use of LAS

Operational clarity

Everyone now references a single source of truth

Business validation

The product is being actively shown to external firms, using a working prototype and landing page — both delivered by Vazco

Validating innovation on real cases

We didn’t start with mockups only. We started with real need.

The first version of LAS was created to manage the client’s own live legal cases. From day one, the system is tested in real-world conditions by internal teams – lawyers, case managers, accountants – with immediate feedback loops.

This approach allowed us to:

Validate assumptions through live casework
Gather user feedback based on actual workflows, not only hypothetical scenarios
Form follows function – focusing on aligning design with what users needed to get work done.

Prototypes were built directly in code (“vibe-coded dashboards”), helping the client quickly visualize flows and spot gaps before design kicked in. This was especially useful in a complex legal domain, where visuals made abstract and complex processes easier to discuss and improve.

A platform built around legal funding workflows

Designed around process.
Built for growth.

Unified legal case dashboard

One place to track progress, share documents, manage budgets, and monitor billing. No more delays waiting on monthly updates. Everyone sees the same real-time status.

Invoice management with oversight logic

Users can upload and manage invoices per case — laying the foundation for future automation like duplicate detection, budget alerts, and investment oversight.

Clear role separation across the workflow

Legal teams, funders, coordinators, and clients all work in the same system — with tailored permissions and views that reflect their role in the case.

Modular and scalable architecture

From the start, we built LAS with international rollout in mind. The architecture supports multiple roles, regional adaptations, and expansion across borders.

Profitability forecasting and investment alerts

The system skillfully displays a case's financial viability, alerting users when projected returns fall below predefined thresholds to prevent further investment in unprofitable deals.

Expert Insight

"You can’t apply AI effectively without understanding the process first. That’s what made this project work – we built tech that fits the way legal funding actually operates."

Piotr Pośpiech

Lead Developer at Vazco

expertise

The client’s perspective

“This project is more than software – it’s infrastructure for how we run and scale our business. Vazco understood that from day one. They helped us shape the concept, challenge assumptions, and build something we can actually use, grow, and sell. What stood out was how naturally the platform was designed to support future AI – not as an add-on, but as a core enabler of smarter operations. The way they combined technical execution with business insight has been incredibly valuable.”

Gian Kull

Legal Funder & Co-Creator of LAS

Built to scale – with AI in the roadmap

LAS was designed with a long-term vision in mind: to move beyond process management and toward intelligent, AI-supported operations.

The next phase of development focuses on translating domain knowledge into automation, specifically targeting routine, time-consuming bureaucracy. This frees up legal professionals to focus on the high-value, strategic work that truly requires their expertise, allowing them to make faster, better-informed decisions without increasing operational overhead.

Planned capabilities include:

Structured data from unstructured documents

AI-powered parsing will extract critical data points from uploaded contracts, case files, and scanned documents – reducing the need for repetitive manual input and ensuring cleaner, more consistent case records.

Automated reporting and summaries

Instead of relying on manual updates, LAS will generate dynamic summaries tailored to the needs of different stakeholders – eliminating the multi-day effort of sifting through existing documentation and surfacing key changes, risks, and outcomes as cases evolve.

Budget oversight and ROI modeling

By analyzing historical and real-time data, the system will support budget burn tracking and early detection of billing inconsistencies – strengthening financial oversight for funders.

Long-term: intelligent contract support

Over time, LAS will learn from recurring legal structures and contractual patterns. The ambition: to support contract generation by identifying best practices, risk factors, and commonly negotiated terms.

All AI features are currently in discovery or early prototyping stages — but the product infrastructure, user feedback loops, and domain-specific focus are already in place. We achieve this structured implementation through our proprietary AIUX methodology. The result: a system designed not only to manage legal funding at scale, but to continually improve how that funding is delivered.

How we build it

We structured the delivery process to work well with AI-assisted development, then measured it. These numbers cover the development stage itself - pull request to merge.

We're now extending the same measurement to the full lifecycle, from idea to working code, since optimizing one stage in isolation risks just moving the bottleneck upstream instead of removing it. Full feature lead time, from backlog to done, is down from a 14-day baseline to 7 days. Early releases are already coming in below that. The same discipline is now extending upstream, to the stage before development, turning an idea into a ready-to-build task.

Test automation is compounding on itself: the automated suite keeps growing, manual testing keeps shrinking, and full regression is trending toward minutes rather than hours. Some of these tests are now written by AI agents directly, not by hand.

Testing big ideas
in a week

For initiatives that are too big for the next iteration and too uncertain to commit a quarter to, we have a standing format: a five-day AI sprint. Plan in the morning, a working prototype by evening, on the production architecture rather than in a sandbox. By Friday, the question is answered by something you can click through, and the idea either earns a place on the roadmap or gets put down, at the cost of a week instead of a quarter.
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It runs alongside normal delivery whenever a question of that size comes up, and it comes from the same principle as everything else here: product work is judged by the impact that ships, not the scope that gets delivered.

"You can't apply AI effectively without understanding the process first. That's what made this project work - we built tech that fits the way legal funding actually operates."

Piotr Pośpiech

Head of Agentic Engineering, Vazco

"You can't apply AI effectively without understanding the process first. That's what made this project work - we built tech that fits the way legal funding actually operates."

Piotr Pośpiech

Head of Agentic Engineering, Vazco

Still running on manual processes?
Let's make it AI-native.

Let’s talk

Building it together

LAS is expanding into new markets, and the team that built the first version is the team building the next one.

We plan together, we ship weekly, and the process we tuned along the way keeps getting faster. It is the kind of partnership where the client's roadmap and ours are the same document.

Still running on manual processes?
Let's make it AI-native.

Let’s talk

Purpose-built infrastructure for litigation funding

Product Development Highlights

Spreadsheets couldn’t keep up with scale

Many workstreams,
one partnership

One platform,
built around the workflow

Many workstreams,
one partnership