Quick takeaway: When CASUS is the better alternative to Spellbook
When data protection, data residency, and compliance in Switzerland are decisive
Many Swiss legal teams do not start their evaluation with features, but with governance: internal policies, review processes, audit questions, and third-country transfers. This is exactly where tool selection quickly becomes a compliance question.
CASUS is designed around Swiss requirements: hosting in Switzerland or the EU, no data transfer to the US, Zero Data Retention, and No Human Review. That reduces the usual alignment loops with IT, data protection, and risk teams because the default conversation does not start with US transfers, data processing agreements, and internal exception processes every single time.
When you want to use legal AI directly inside documents
Legal work does not happen in a chat window - it happens in the document. If a tool produces results that you then have to manually transfer, you create friction: copy-paste, formatting errors, wrong insertion points, and lost traceability.
CASUS is built to apply changes directly in the document. That means suggestions and insertions land in the right place with correct numbering and formatting. For teams iterating on contracts every day, this is not convenience - it is throughput.
When you want personal support instead of ticket support
Implementation determines whether legal AI stays a pilot or actually gets adopted by the team. Personal support, enablement, and fast feedback loops are especially important when you need to map playbooks, standards, and quality requirements cleanly.
CASUS focuses on personal onboarding, short iteration cycles, and a rollout tailored to your document types and working style - rather than generic one-size-fits-all processes.
Who this comparison is for
In-house legal teams in Switzerland
If you negotiate contracts at volume, must follow standards, and work closely with procurement, finance, compliance, or data protection, you mainly need three things: repeatable quality, clear risk prioritisation, and a solution that does not block internal approvals.
This comparison helps you frame tool questions so you can reach an internal decision faster: where data is stored, how it is processed, what the review workflow looks like, and how quickly you get from findings to clean contract edits.
Swiss law firms and boutique firms
For law firms, two things are central: reliable output quality and a setup that aligns with professional secrecy, IT requirements, and different client demands.
What matters is whether a tool does not just generate text, but also reviews consistently, produces clean structured outputs, and helps you move quickly from analysis to editable, correct wording.
Why Swiss teams search for “Spellbook alternative Switzerland”
Data location, third-country transfers, and internal policies
In Switzerland, the discussion is rarely theoretical. Many organisations have clear rules on where data may be processed and how AI services must be operated. As soon as a tool implies processing in a third country, or it is unclear who has access, approvals become slow and difficult.
That is why teams look specifically for alternatives that handle data residency and processing transparently while still being productive for day-to-day legal work. CASUS addresses exactly that profile with Switzerland/EU hosting, no US data transfer, Zero Data Retention, and No Human Review.
Cost and scaling with higher volume
With more documents, not only licensing costs increase, but also indirect costs: rework due to inconsistent outputs, lack of standardisation, rollout friction, and additional control steps.
Teams with volume want repeatable workflows: review with prioritisation, benchmarking against playbooks, and features that shorten the step from analysis to clean implementation.
What is Spellbook?
Spellbook is a legal AI tool that typically focuses on contract drafting and contract work in Word. In practice, Swiss teams compare such tools primarily based on whether they speed up the document flow, how reliable the outputs are, and whether data protection and data residency requirements can be met without special approvals.
The 4 most important criteria when choosing a Spellbook alternative in Switzerland
Data protection and compliance: Swiss DPA, GDPR, and company requirements
For Swiss companies, the core is not just the Swiss DPA or GDPR, but the combination of internal policies, customer requirements, and auditability. So do not only evaluate whether “compliance” is claimed - evaluate how you can operationally prove it:
Where content is processed and stored
Whether data is used for training or human review
What retention rules apply and how that affects your processes
How you document and approve usage internally
CASUS is designed for minimal data exposure: Zero Data Retention and No Human Review, plus hosting in Switzerland or the EU and no US data transfer.
Data residency and processing: Switzerland vs Europe vs third country
In practice, this is about risk classes and approvability. A helpful evaluation logic for Swiss teams:
Does data residency have to be Switzerland, or is the EU sufficient?
Is third-country transfer categorically excluded, or allowed only as an exception?
Which document types may be used with an AI tool at all (e.g., standard NDAs vs M&A)?
How do you prevent content from “sticking around” or flowing into monitoring processes?
If your policy effectively blocks third-country transfers, you save time by prioritising tools that structurally avoid the issue.
Output quality: traceability, consistency, risk checks
For legal work, “sounds good” is not a quality metric. What matters:
Findings are structured and traceable, not a loose wall of text
Consistency across the entire document (definitions, references, deadlines)
Severity-based prioritisation so you do not treat everything the same
Concrete, actionable wording instead of abstract hints
CASUS focuses exactly here: Review surfaces red flags, assigns them to parties, prioritises by low/medium/high, and provides wording options per finding that can be adopted directly in the document. Proofread adds formal and linguistic consistency checks, including cross-references, definitions, and placeholder checks.
Support and enablement: personal rollout, training, feedback loops
A tool can be strong on paper and still fail if adoption is missing. So evaluate:
How fast you can move from pilot to team rollout
Whether standards and playbooks can be mapped
Whether practical feedback turns into iterations
Whether training and onboarding are tailored to your document reality
For Swiss legal teams, personal support is often the difference between “used occasionally” and “embedded in the workflow”.
CASUS as an alternative to Spellbook: What makes the difference in day-to-day work
Built in Switzerland, for legal work in Switzerland
Swiss contracts have their own characteristics: language, style, terminology, standards, and negotiation expectations. On top of that comes the Swiss context around data protection and internal governance.
CASUS is built for that reality: Swiss target audiences, Swiss writing conventions, and a focus on workflows that actually save time in contract work without giving up quality control.
Security and data protection setup for Swiss requirements
If you regularly work with sensitive contract content, you want as little ambiguity as possible in the setup. CASUS combines hosting in Switzerland or the EU with Zero Data Retention and No Human Review, and no US data transfer. This is especially relevant for teams that otherwise get stuck in long approval cycles for AI tools.
Personal support, fast iterations, clean team onboarding
Especially for review standards and benchmarking against playbooks, you need a clean setup: which findings matter to you, how you prioritise, which standard clauses should be suggested, and what the ideal workflow looks like.
CASUS is designed to support this onboarding personally and to iterate quickly in operation, rather than pushing you into generic ticket processes.
The 6 CASUS features at a glance
AI Chat with Agent Mode
CASUS AI Chat is not just Q&A. You use it like an associate: find passages, generate summaries, and implement concrete changes. Answers are linked to relevant text passages so you do not have to search - you can jump straight to the clause.
With Agent Mode, CASUS can execute changes directly in the document: insert clauses, rewrite text, expand content - while respecting structure, numbering, and formatting.
Benchmark
CASUS Benchmark checks your document against a reference standard, for example your internal playbook or best practices for specific contract types. You see which standard clauses are missing, incomplete, or deviating.
What matters in practice: CASUS does not only show the deviation, it can insert appropriate clauses at the right place, cleanly formatted. You also see a percentage match to the standard, which helps with internal quality measurement and reporting.
Proofread
CASUS Proofread is a legal quality and consistency proofread before something goes out. It checks spelling, grammar, and style without changing legal meaning, and it respects Swiss writing conventions. It also adds structured checks:
incorrect or missing cross-references
inconsistent definitions and terminology
missing or incorrectly titled appendices/annexes
numbering, heading hierarchy, format consistency
inconsistencies in deadlines/terms
placeholders and open points
Review
CASUS Review is the risk workflow: CASUS identifies risks and red flags, assigns them to parties, and prioritises by severity. Instead of just marking “problem spots”, you get concrete improvement proposals per finding as wording options you can adopt directly into the document.
The value is especially high in negotiations: you quickly see where a clause is imbalanced and move straight to a clean counter-proposal.
Legal Research
CASUS Legal Research delivers structured, traceable first assessments based on legally robust sources such as statutes and case law. In practice, it helps when you need argument lines for negotiations, need to justify a clause, or prepare an internal assessment.
Typical outputs include a risk analysis with drivers, pro/contra lines, and recommendations such as hold position, offer a fallback, or add an additional clause.
AI Data Room
CASUS AI Data Room is built for parallel analysis of many documents: you upload dozens or hundreds of files and define what information should be extracted. Each table column is driven by your prompt. The output is tabular - ideal for Excel, due diligence, or compliance.
It is also practical for flagging anomalies and deviations, for example liability without a cap or a termination notice period above 12 months.
Word add-in: Why this matters for lawyers
Less copy-paste, more speed
If you work on contracts daily, the bottleneck is often not “knowledge” but transfer: findings, wording, insertions, formatting. A document-native Word workflow reduces exactly that friction.
CASUS can insert wording options and clauses directly into Word with correct formatting. That lowers the error rate and saves time because you no longer bounce between tools, versions, and formatting issues.
Why this makes rollout easier
Adoption often fails because of small hurdles: another tab, another process, another export. If legal AI happens inside the existing document process, it becomes a habit, not an exception.
For teams, that means faster rollout, less training effort, and clearer standards because everyone works in the same artefact.
Pricing and costs: How to compare Spellbook vs CASUS fairly
Do not compare license prices only - compare total cost in day-to-day operations:
Volume: how costs behave when you add more documents and more users
Implementation: internal effort caused by data protection approvals, security reviews, and rollout
Standardisation: can you map playbooks and benchmarks, or is it just a generic assistant?
For Swiss teams, the price point is often less critical than the internal effort a tool creates - or prevents. A setup that handles data residency and governance cleanly can be cheaper in total, even if the license is not the lowest.
Decision guide: Which alternative fits your setup?
If you primarily want drafting
If your main problem is creating first drafts quickly, you should evaluate how strongly the tool is built for drafting: how quickly you get to a usable first draft, how good templates and drafting workflows are, and how much rework is needed inside the document afterwards. If drafting is clearly the priority and review and standardisation features do not matter to you, Spellbook is currently the better fit (as of February 2026).
If you primarily want review, risk, and standards
If your day-to-day work is negotiations, risk assessment, and standard deviations, Review, Benchmark, and Proofread are usually the biggest levers. You want structured findings, prioritisation, and concrete wording options you can use immediately.
CASUS is particularly strong in this setup because the path from a risk finding to a clean contract edit is short, and standards become measurable via benchmarking.
If Swiss data residency is a must
Then prioritise tools that handle data residency and processing in a way that requires no exceptions. Also evaluate whether retention and human review conflict with your policy. CASUS is designed for the typical Swiss requirement profile with Switzerland/EU hosting, no US data transfer, Zero Data Retention, and No Human Review.
If you want fast onboarding with personal support
If you do not want to pilot for months and instead need a clean implementation, personal support is an important selection criterion. This is especially true if you want to map standards, playbooks, and document types consistently.
CASUS is designed to closely support onboarding and turn feedback into improvements quickly.
Conclusion: CASUS as a Spellbook alternative for Switzerland
Summary of the key differences
For Swiss legal teams, the comparison often comes down to three points:
Governance fit: data residency, no US data transfer, Zero Data Retention, and No Human Review reduce friction in compliance and approvals.
Document workflow: clauses and wording options applied directly in the document with clean formatting - instead of copy-paste and rework.
Quality workflows: Review with prioritisation and wording proposals, Benchmark against playbooks, Proofread for consistency and final checks, plus AI Data Room for volume analysis.
If these three points are central for you, CASUS is often the more practical alternative in Switzerland.
Next step: demo, pilot, or a quick fit check (CTA)
If you want to see whether CASUS fits your document types, standards, and compliance requirements, a short fit check is the fastest path. From there you can start a pilot that is tailored to your typical contracts and workflows.
FAQ on “Spellbook alternatives Switzerland”
Which Spellbook alternative is the safest in Switzerland?
Security is not only encryption - it is also processing and governance. For many Swiss teams, the key is: hosting in Switzerland/EU, no third-country transfers to the US, Zero Data Retention, and No Human Review. If these are mandatory for you, prioritise solutions that provide them by default so you do not build exception processes.
Which solution works best directly in Microsoft Word?
For lawyers, what matters is whether the tool implements changes and suggestions truly document-first. CASUS can insert wording options and clauses directly in the document while respecting structure, numbering, and formatting. That reduces copy-paste, prevents formatting errors, and speeds up iterations.
What should I consider regarding the Swiss DPA/GDPR and third-country transfers?
Beyond the Swiss DPA/GDPR, review your internal policies: which document types may be processed, where data must be located, and whether human review or retention is excluded. For third-country transfers, the practical question is often: does this create extra contracts, special approvals, or audit overhead? If yes, a solution with Switzerland/EU processing and clear retention logic is usually the faster path to productive use.
Is this suitable for law firms or only for in-house teams?
Both. In-house teams benefit strongly from Review, Benchmark, and Proofread for standardisation and risk prioritisation. Law firms additionally benefit from document-native workflows and consistent quality across matters - especially when working on many similar contract types or in due diligence scenarios with the AI Data Room.
