Contract review is one of the most time-intensive tasks in legal practice. According to a 2025 LegalOn survey, lawyers spend an average of 3.2 hours reviewing a single contract for the first time. For a team handling 500 contracts per year, that adds up to roughly 200 working days spent on review alone. A well-structured AI contract review workflow can cut that substantially – without shifting legal responsibility away from the lawyer.
This guide walks through how to build such a workflow step by step, which modules work well together, and what to keep in mind in practice.
What an AI-assisted contract review workflow actually does
An AI-assisted workflow does not replace legal judgment. It accelerates and structures the groundwork. The AI scans the document, identifies risks, checks deviations from a standard, and prepares improvement suggestions – all before the lawyer makes a single edit.
That removes routine work and creates space for the tasks that genuinely require legal expertise: negotiation strategy, risk assessment, client advice.
Step by step: building the workflow with CASUS
CASUS is a Swiss legal AI platform built for law firms and in-house legal teams. It runs as a Microsoft Word add-in and as a web app, hosted in Switzerland and the EU, with no data transfer to the US.
Step 1: Load the document and define the party perspective
The workflow starts by uploading the contract and defining the perspective: whose interests are being analyzed? This is not a minor detail. The same liability clause can be unproblematic for the client and highly risky for the contractor.
CASUS's Risk & Quality Review identifies the contracting parties and analyzes risks from each party's perspective – not in a generic way, but assigned and prioritized by severity (low / medium / high).
Step 2: Capture risks and gaps in a structured way
After the initial scan, the result is a structured list of findings: risks, red flags, and imbalanced clauses. Each finding comes with an assignment, a relevance rating, and a concrete improvement suggestion.
Running the Benchmark workflow in parallel makes sense here. It checks the document against a reference standard – for example, an internal playbook or best practices for NDA, SPA, or DPA contracts. The output shows which standard clauses are missing, incomplete, or deviating, along with a percentage match score.
A typical example: a liability clause without a cap, a confidentiality provision without a deletion obligation, or an IP ownership clause that is simply absent. These gaps get surfaced systematically, not depending on who happens to do the review that day.
Step 3: Apply improvements directly in the document
This is where the real efficiency gain happens. Improvement suggestions from the review can be applied directly in Word – correctly formatted, without copy-paste, placed exactly where they belong.
For more complex edits, the AI Chat with Agent Mode is available. Agent Mode executes changes in the document: inserting clauses, rewriting text, checking consistency across the whole document. It respects structure, numbering, and formatting – changes land in the right place, not appended at the end.
Step 4: Deepen the legal basis where needed
Some findings raise legal questions that cannot be answered from the contract text alone. For these situations, the Legal Research mode within AI Chat is useful.
It draws on statutes, case law, and legally reliable sources, and produces structured, traceable outputs – not generic internet answers. The results feed directly into work product: as a rationale for a clause decision, the basis for an internal assessment, or preparation for a negotiating position.
Step 5: Final proofreading before sending
Before a contract goes out, a final quality check is worthwhile. The Proofread workflow checks spelling, grammar, and style – without altering legal meaning – reviews cross-references, definitions, annexes, and open placeholders, and flags contradictions such as inconsistent terms or notice periods.
This is not a substitute for substantive review, but a reliable final filter against formal errors that otherwise only surface once the document is in the other party's hands.
Concrete benefits of a structured workflow
A clearly defined AI contract review workflow delivers more than time savings. A few aspects stand out in practice.
Consistency. The AI applies the same standards to every contract – regardless of who does the review, how busy the team is, or whether it is the fifth or fiftieth contract of the day.
Traceability. Findings are documented in a structured way: assignment, severity, reasoning. That makes internal communication and escalation decisions easier.
Scalability. Teams that need to analyze many documents at once – for example during due diligence – can use the AI Data Room. Dozens or hundreds of documents are analyzed in parallel, content is extracted according to user-defined fields, and the results are output as a table. Anomalies such as missing liability caps or unusually long notice periods are flagged automatically and prioritized by risk.
A concrete scenario
An in-house legal team at a mid-sized Swiss company receives 15–20 supplier contracts per week for review. Previously, the process involved reading manually, handwritten notes, and subsequent redlining in Word – roughly three hours per contract.
With a structured workflow through CASUS, the picture changes. The Risk & Quality Review produces a party-specific risk list in minutes. The Benchmark workflow checks each contract against the internal playbook and surfaces deviations as findings. Concrete improvement suggestions are applied directly in Word. The lawyer focuses on the points that actually matter for negotiation – not on working through standard clauses from scratch.
The result: less time on routine work, more capacity for negotiation and advice.
Technical requirements and getting started
CASUS runs as a Microsoft Word add-in and as a web app. Getting started does not require a separate IT project. Data is hosted in Switzerland or the EU, there is no data transfer to the US, no human review (abuse monitoring opt-out), and no data retention after the session (zero data retention).
More detail on the security architecture is available on the security page.
Start your first AI-assisted review
CASUS, a Swiss legal AI platform, was built specifically for law firms and in-house teams in Switzerland. A free trial is available directly at app.getcasus.com/signup – no credit card required, no lengthy onboarding.
FAQ
What is an AI contract review workflow?
An AI contract review workflow is a structured process in which contracts are analyzed, assessed, and revised using AI-powered tools. Typical steps include automated risk identification, comparison against a standard or playbook, applying improvement suggestions directly in the document, and a final proofreading pass.
How long does an AI-assisted contract review take?
It depends on document length and complexity. The automated analysis – risk identification, benchmark comparison, suggestion preparation – takes significantly less time than a manual first read. According to a 2025 LegalOn survey, AI reduces review time by 70–85%.
Can AI replace a contract lawyer?
No. AI tools like CASUS handle the structured groundwork: identifying risks, surfacing gaps, formulating suggestions. Legal judgment, negotiation strategy, and final decision-making remain with the lawyer.
What is the difference between Risk Review and Benchmark?
The Risk & Quality Review analyzes the contract from a party perspective and prioritizes risks by severity. The Benchmark workflow compares the document against a reference standard or playbook and shows which standard clauses are missing, incomplete, or deviating.
Is CASUS compliant for Swiss companies?
Yes. CASUS hosts data in Switzerland or the EU, does not transfer data to the US, and offers zero data retention and no human review (abuse monitoring opt-out).
Which document types work well with an AI-assisted review?
Broadly, all contract types: NDAs, SPAs, DPAs, supplier contracts, service agreements, lease agreements. The workflow is particularly efficient for standardized or frequently recurring contract types.
How does Agent Mode in AI Chat work?
Agent Mode is part of the AI Chat module. It executes changes directly in the Word document – inserting clauses, rewriting text, adding or adjusting content – while respecting document structure, numbering, and formatting. Changes are not appended at random but placed in the correct position within the document.
What is the AI Data Room and when does it make sense?
The AI Data Room analyzes many documents in parallel. When dozens or hundreds of contracts need to be reviewed at once – for example during due diligence – users define extraction fields and receive the results in a table. The module flags anomalies and prioritizes them by risk.
