
Industries Legal & Compliance
AI Engineering and software development for legal companies.
Move faster on contracts, prove every conclusion.
Speed only counts if the answer survives review, which is where fluent output becomes a liability rather than a feature. We build research, contract, and compliance systems where every answer carries the clause it came from, privilege is enforced by the architecture, and a reviewer can check the machine's work in seconds rather than redoing it.

Five DegreesCore Banking Loan Management
We helped build the loan management platform behind a Dutch core banking provider whose software ran at 40+ banks across Europe and North America. Five Degrees is now Akkuro by Topicus.
- $45B
- Annual loan volume
- $13B
- Deposits managed
- 133B+
- Assets under management
Why legal teamstrust us with delivery.
A fabricated citation never surfaces as an error message; it surfaces in front of a client, a regulator, or a judge. This is why we pay special attention to the most sensitive parts of the system.
What legal demandsfrom engineering and AI.
A firm's real advantage is everything it has already argued, drafted and negotiated, and most of it is unreachable. These four are where engineering turns that record into something the next matter can actually use.
01The firm's memory, searchable
Most of what a firm knows lives in closed matters, precedent folders, and the heads of the partners who ran them. Making that searchable takes retrieval where every result carries its source, date, and jurisdiction, and a system honest enough to return nothing when nothing adequate exists.
02Contracts as a live data source
Renewal dates, notice periods, indexation, liability caps, and change-of-control terms sit locked in prose the business cannot query. Meeting that demand means an obligation register kept in sync with the documents, so finding out what was agreed no longer means a file hunt.
03Regulatory change as a managed diff
Rules are amended faster than any team can re-read them, and a feed of regulatory news is not a control. The demand is a maintained map from obligations to controls and owners, where every change surfaces as a diff: what moved, what it touches, who has to act.
04Review that is defensible at scale
Document volumes grow while budgets for first-pass review shrink, and a court can ask exactly how the review was run. Prioritisation, near-duplicate detection, issue coding, and sampling-based quality control put reviewer hours where they matter, with the audit trail designed first.

Real-life stories of triumph.
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The feedback for Nortik engineers is truly outstanding, and we are very satisfied with the collaboration. I’m eagerly awaiting a moment to bring on additional people and expand this partnership going forward.
Nortik’s Impact
Engineering across Florence's trial operations platform: eBinders, SiteLink, eTMF, eConsent and Site Feasibility, for a network of 65,000+ research sites in 90+ countries.
Discover more industries we cover.
Insurance
Faster claims, smarter underwriting, and fraud detection.
Fintech
Intelligent automation for payments, risk, and compliance.
Workforce & HR Tech
Smarter hiring, onboarding, and people operations.
SaaS & Enterprise Software
Copilots, agentic workflows, and AI features your users adopt.
Frequently asked questions
Everything legal and compliance teams usually want to know before trusting a model with a document set. Not here? Ask us directly.
By never letting the model answer from memory. Every response is generated from retrieved passages and carries the citation, so a reviewer verifies in seconds instead of trusting a fluent paragraph.
Where retrieval finds nothing adequate, the correct output is that it found nothing. We tune and evaluate for that behaviour explicitly, because a system that always produces an answer is the failure mode this industry has already been burned by.
It stays in your tenancy, in the region you specify, and it is not used to train anyone's model. That's contractual with the providers we build on, not a policy statement.
Where the material is sensitive enough, we deploy models in your own environment so nothing leaves it at all. That's a cost and capability trade-off we'll walk through openly.
No, and anyone selling that hasn't practised. It removes the first pass of locating, extracting, comparing, and summarising, so the judgement work gets the hours instead of the search.
Accountability stays exactly where it is. What changes is how much unreviewed material sits between a question and a defensible answer.
Yes, but with the caveat that matters: jurisdiction has to be a first-class attribute in the retrieval layer, or you get authoritative-sounding answers from the wrong legal system.
Multilingual document sets are routine. Cross-jurisdiction reasoning is scoped deliberately with your lawyers, not assumed to generalise.
Every retrieval, prompt, model version, and human decision is logged in a form that reconstructs how a given output was produced, months later.
In a regulated or contentious setting the audit trail is the product. We design it at the start rather than adding logging once someone asks.
You do. Code, trained models, pipelines, and documentation are yours, along with the infrastructure access to run them without us.
We hand over a codebase your own team can pick up. Nothing we build is designed to keep you dependent on us.
Let's shape your nextAI initiative, together.
Nortik helps you scale your business with AI Engineering.







