Legal Data Tech

Why We're Different

Real automation
starts with the architecture.

We believe that real automation doesn't start on the surface. Seven years. One vision. No compromise.

7 years
of consistent development
65B+
LLM tokens orchestrated
50%+
of the German legal-expense insurance market
100,000+
matters per year

01 · Out of conviction

A different way of thinking.

We believe that good legal-tech solutions look at the entire process — just as good legal advice doesn't just answer one question, but maps out the whole path to a solution.

That's why, since the very first line of code, we've built a platform that fully covers every step of handling a matter. Only by building every feature ourselves, from the ground up, can we fully automate every detail.

Friction becomes automation. Craft becomes industry. Individual cases become a product.

Two Legal Data Technology team members sketching a case workflow as a process diagram on a whiteboard
The entire path to a solution, before the first line of code is written.
01Full automation, no workarounds
02BPMN as an executable single source of truth
03AI as a process step — not a black box
04Human-in-the-loop only where it counts

02 · Who we build for

We love what others fear.

DEPLAW is built for organizations that run law at industrial scale. Our best projects are the ones you can't buy off the shelf — highly complex, custom-built, ambitious.

Complexity

The harder, the better

Branching procedures, countless edge cases, hard deadlines across hundreds of thousands of case files — this is exactly where we perform best.

Tailored

No off-the-shelf solution

Every enterprise project brings its own processes, systems and rules. We model them exactly — instead of forcing you into a standard template.

Scale

Built for real volume

Insurers, mass-litigation firms and enterprises orchestrate hundreds of thousands of cases with DEPLAW — reliably, reproducibly, at scale.

Our Mission

Orchestrating all of law — case by case, at the scale of millions.

One system. Every process step. Fully automated. That's Orchestrated Legal Automation — and it's why we get up every morning.

03 · Built and loved

Vision became code.

Legal Data Technology developers working on the DEPLAW source code across two screens
Every feature built in-house, line by line.
  1. 2018

    The first line of code

    DEPLAW isn't built as an MVP chasing quick market share — it's an architectural decision. From day one, the goal is full end-to-end automation. No shortcuts.

  2. 2019 – 2021

    Feature by feature. Including the ones almost no one sees.

    Accounting, deadline management, beA dispatch — features that had to be completely rethought for scalable automation. No siloed tools. Everything built as one system.

  3. 2022

    The market follows the vision.

    Legal-expense insurers and mass-litigation firms choose DEPLAW — because it's the only offering that truly meets their requirements.

  4. 2023 – 2024

    AI as a process step.

    While others market AI as a separate module, DEPLAW integrates artificial intelligence directly into the BPMN workflow — as a service task with defined input, output and full logging.

  5. 2025

    Large-scale AI projects delivered

    Together with several insurance companies, we delivered some of the most demanding legal projects yet. Over 65B LLM tokens orchestrated with DEPLAW — opening up new lines of business for our customers.

  6. Today

    Over 50% of the German legal-expense insurance market.

    The legal service providers with the highest automation rates rely on DEPLAW for hundreds of thousands of cases every year. Thousands upon thousands of claims are filed, defended and won with DEPLAW every year.

"Our customers come to us with the most demanding legal projects there are. That's why we don't rely on loud announcements or flashy promises — we deliverthe best automation solution for the most demanding projects.And that's exactly what we love."

Tim Platner, CEO of Legal Data Technology GmbH

Tim Platner

CEO · Legal Data Technology

More references →

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