Pressure on law firms keeps building: clients expect faster turnarounds, more transparency, and consistent quality – often with flat or declining fee budgets. At the same time, document volumes are rising. Staying competitive in 2026 requires a legal tech stack that addresses these demands structurally, not by patching in isolated tools.
This article explains which categories make up a functional stack, how they work together, and what role legal AI plays.
What a legal tech stack is
A legal tech stack is the complete set of digital tools a law firm or in-house legal team uses for legal work. Unlike other industries, legal practice rarely has a single platform that covers everything. Different systems work together: for document management, contract management, legal research, billing, and – increasingly – AI-assisted document work.
The question is not whether to use tools, but which ones and how well they connect.
The four core pillars of the 2026 stack
Document management system (DMS)
A DMS is the foundation. It stores documents in a structured, versioned, accessible way – across matters and teams. Common systems in Swiss firms include iManage, NetDocuments, and ioMantage, with Microsoft SharePoint used by smaller units.
Without a functioning DMS, there is no foundation. Legal AI that accesses documents needs reliable storage. Teams still distributing files by email or in local folder structures have an upstream problem that no AI tool will fix.
Contract lifecycle management (CLM)
CLM systems manage contracts across their full lifecycle: drafting, negotiation, approval, storage, deadlines, and renewals. Tools like Ironclad, ContractPodAi, and Juro cover this space.
For larger in-house teams, a CLM is hard to avoid. Smaller firms often manage with a scaled-down version or a structured DMS with a contract module. What matters is that notice periods, termination rights, and contract durations are tracked systematically – not in Excel spreadsheets that nobody updates.
Legal AI for document work
This is the category that has grown most sharply in 2025 and 2026. Legal AI platforms take on tasks that previously consumed hours: contract reviews, benchmarking against playbooks, risk analysis, and bulk extraction from document sets.
CASUS, a Swiss legal AI platform, positions itself as a Swiss alternative to platforms such as Harvey, Legora, and Spellbook. CASUS runs directly in Microsoft Word and in a web app. Data is hosted in Switzerland or the EU, with no transfer to the US – a point that matters for firms operating under professional secrecy obligations and GDPR requirements.
Billing and practice management
Time recording, matter management, and invoicing in Switzerland typically run through systems like Vertec, Clio, or SAP. This category is not the most exciting, but without it there is no financial overview. A firm that cannot measure how much time a matter actually costs cannot price work accurately or quantify efficiency gains from AI.
How legal AI changes the stack
Legal AI is not another database. It changes what lawyers can do within the stack – and how quickly.
A concrete example: a team receives a supplier contract for review. Before: read manually, highlight, summarize in a Word document, align internally. Now, with CASUS: the Risk & Quality Review analyzes the contract, assigns risks to each party, and prioritizes them by severity (low, medium, high). Suggested improvements can be applied directly in Word, without copy-paste.
Or: a firm receives 200 contracts as part of a due diligence exercise. With the AI Data Room, these documents can be analyzed in parallel. Each column in the output table corresponds to a user-defined extraction field – liability clauses, notice periods, IP provisions. The result is a structured table, exportable to Excel.
These are not future scenarios. They describe current practice.
CASUS in the stack: what the platform covers
CASUS has several modules that address different points in a firm's workflow.
Contract analysis and benchmark
The Benchmark workflow compares a document against an internal playbook or established best practices – for example for SPAs, NDAs, or DPAs. It shows which standard clauses are missing, where the drafting is incomplete (e.g. liability without a cap, confidentiality without a deletion obligation), and the percentage match with the standard.
This is particularly useful for teams that regularly review similar contract types and need consistent quality assurance.
Legal research
The Legal Research mode within AI Chat searches a database of over 660,000 cantonal and federal court decisions as well as statutory provisions. Relevant reasoning sections are highlighted directly in the results, without clicking through to external links. This makes research faster and traceable – sources are visible, not hidden.
For teams that need to support a clause rationale, draft an internal assessment, or build a negotiation position, CASUS returns structured argument lines rather than generic internet answers.
Proofreading and consistency checks
Before sending a contract or pleading, the Proofread module checks spelling, grammar, and style – without changing legal meaning. It verifies cross-references, definitions, and annexes, and flags placeholders such as [●] or TBD. Swiss spelling conventions apply (ss instead of ß).
This is not a substitute for reviewing the legal merits, but it prevents the kind of errors that embarrass firms before clients or courts.
AI Chat with Agent Mode
The AI Chat lets teams work through documents the way they would with an associate: ask questions, find passages, summarize. In Agent Mode, the system executes changes directly in the document – inserting clauses, rewriting text – while respecting the document's structure, numbering, and formatting.
Data security as a selection criterion
For Swiss law firms, the question of where data is processed is not a minor detail. CASUS hosts exclusively in Switzerland and the EU, with no data transfer to the US. There is no human review of documents, and no data is retained after processing (Zero Data Retention).
For firms that want to review the technical and legal details, the full security architecture is documented at CASUS Security.
Practical considerations when building the stack
Firms building or overhauling their legal tech stack in 2026 face a few recurring decisions.
First: integration over point solutions. A tool that does not communicate with the DMS or practice management system creates silos. Legal AI should run where lawyers already work – and that is usually Microsoft Word.
Second: data protection over feature lists. An AI tool with impressive capabilities that transfers client data to US servers is simply not an option for many Swiss firms. That narrows the field, but in a clear and principled way.
Third: adaptability and consistency. A good stack is not static. Benchmarks can be calibrated to internal playbooks, and extraction fields in the Data Room can be configured to match specific due diligence requirements. Firms that use this build up an internal quality baseline over time.
Try CASUS
Firms that want to test CASUS can access the platform for free at app.getcasus.com/signup. All modules – from contract review to the AI Data Room and Legal Research – are available immediately, without scheduling a demo.
FAQ
What belongs in a law firm's legal tech stack in 2026?
A functional stack typically includes a document management system (DMS), a contract lifecycle management system (CLM) for tracking contract terms and deadlines, a legal AI platform for document work and research, and a billing and practice management system for time recording and invoicing. How many of these categories make sense depends on the size and focus of the firm.
Which legal AI platforms are available for Swiss law firms?
Internationally known platforms include Harvey, Legora, and Spellbook. CASUS is a Swiss alternative that hosts data in Switzerland and the EU, does not transfer data to the US, and integrates directly with Microsoft Word.
How does CASUS differ from a traditional DMS?
A DMS stores and manages documents. CASUS analyzes their content: identifying risks, comparing contracts against standards, extracting information from large document sets, and answering legal questions based on statutes and case law. CASUS does not replace a DMS – it works on top of the existing document base.
Does legal AI make sense for smaller law firms?
Yes. The value does not depend on firm size. Any team that regularly reviews contracts, runs due diligence work, or conducts legal research can benefit – provided the tool can be deployed without significant implementation overhead.
How secure are legal AI platforms for client data?
That depends heavily on the platform. CASUS hosts in Switzerland and the EU, does not transfer data to the US, has no third-party human review, and applies a Zero Data Retention policy. This makes the platform suitable for firms working under professional secrecy obligations and GDPR requirements.
What is the difference between a CLM and legal AI?
A CLM manages the lifecycle of contracts: deadlines, approvals, status, renewals. Legal AI analyzes the content of contracts: risks, clause quality, deviations from standards, information extraction. The two categories address different problems and complement each other.
Can CASUS be used directly in Microsoft Word?
Yes. CASUS runs as a Word add-in and as a web app. Improvement suggestions from the risk analysis and benchmark workflows can be applied directly in Word, with correct formatting and without copy-paste.
What does Zero Data Retention mean in legal AI?
Zero Data Retention means the platform does not store documents or inputs after processing. With CASUS, no document is retained permanently. This reduces the risk of client data remaining in a system accessible to third parties.
