Data • Legal technology • Implementation
Turning messy legal data into usable intelligence.
DB LEGALTECH Solutions helps legal-tech companies, AI companies and legal teams turn complex legal and business requirements, documents and data into reliable, usable technology-enabled workflows and outputs.
We work in the difficult space between what lawyers and business users mean and what technology actually needs to be told.
The problem we solve
Legal technology is only as useful as the data and instructions behind it.
AI and legal technology can do remarkable things. But the technology still needs the right information, definitions, instructions, workflows and quality controls. The objective is simple: get more value from the new generation of AI tools.
A lawyer may understand exactly what a contractual concept means. A business user may know what information they need from thousands of contracts. Technology needs that knowledge expressed in a form it can consistently process. That's where we come in: we help make implicit legal and business requirements explicit, structured and usable.
Before you sign. After you sign. Legal technology has to work across the contract lifecycle — from understanding obligations before signature to extracting, organising and using contract information afterwards.
The data problem
Garbage in = garbage out.
AI cannot make unreliable contract data reliable by itself. Before a team can trust an answer, it needs to understand where the underlying information came from, what the fields mean, how exceptions are handled and whether the result is good enough for the decision at hand.
Read the launch insight: “The Data Problem: Garbage in = garbage out” →
Selected experience
The hardest legal-tech problems rarely arrive neatly packaged.
Our experience includes making legacy contract data reliable and useful, translating complex requirements into machine-usable criteria, and improving AI-assisted search tools.
Case study
French insurance group
AI-assisted contract risk review for a digital commercial platform serving architects, engineers and design firms.
Read case study →Case study
Transportation & supply-chain provider
Building and refining industry-specific search tools — almost 100 algorithms, deployed to ~1,000 end users.
Read case study →Case study
U.S. professional services firm
Making legacy CLM data useful — 25 key data points extracted from roughly 15,000 documents.
Read case study →Four broad capability layers
From understanding the problem to enabling the people who use it.
Understand
Clarify the real legal, business and operational problem before deciding what the technology should do.
Structure
Turn legal knowledge, documents and messy data into precise definitions, fields, instructions and usable information.
Implement
Configure, build, migrate, test and improve the data and workflows that make legal technology useful.
Enable
Give people the documentation, training, quality controls and shared ways of working they need to use technology consistently.
How we work
Understand → Define → Build → Test → Deliver → Transfer
An extension of your team. We adapt the team and delivery model to the problem — sometimes a focused specialist engagement, sometimes a larger legal-data project with flexible EU-based delivery capacity. Where appropriate, we train the client's team so it can operate and improve the process itself.
Who we help
Two audiences, one problem.
Legal-tech & AI companies that need help bridging product capability and customer requirements — supporting implementations, preparing data, testing workflows or delivering legal projects.
Legal teams & law firms that want to make better use of existing technology, improve contract data, standardise workflows or help people use tools consistently.
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