In contract analysis AI works best as a first filter: it extracts key terms, obligations, risk sections and differences between document versions. According to Microsoft Word Copilot, a user can open a contract in Word for the web, ask for a summary of the main terms, identification of unusual clauses and application of approved changes without manually digging through the entire file.
In practice this working model makes sense especially for repetitive documents: sales contracts, NDAs, amendments or comparing a counterparty's versions. GC AI similarly notes that contract analysis based on large language models is used to automatically extract clauses, flag risks and compare provisions against market standards.
The best scenario does not start with "throw everything into the tool" but with a narrow task. Agentshub recommends first choosing one repetitive activity, for example the initial contract review, and only then expanding the scope. The same source emphasizes checking what data may be passed to the tool, whether processing outside the company complies with GDPR and legal confidentiality, and whether tests can be run on template contracts without client data.
It is also important to set boundaries of responsibility from the start. Agentshub points to the need to appoint a person who verifies the AI output, and to rules that no response is sent to a client without being read and amended by a lawyer. A tool can speed up the "first pass", but it does not replace legal or negotiation assessment.
According to the "Legal Advisor" prompt from Clawlabs, a useful workflow for a legal team includes several concrete steps: identifying the parties, subject matter of the contract, terms, penalties, termination clauses and jurisdiction; then classifying risks by materiality; comparing with the template; preparing negotiation points; and monitoring deadlines after signing.
This is a practical set because it shows that AI in legal work is not only for summaries. It delivers most value where the document needs to be organized first, then compared with the company template, and finally turned into a list of changes for lawyer approval. In that setup the tool helps shorten review time, while control remains with the legal team.
Not every solution "understands" contracts to the same extent. When choosing a tool, check whether it supports version comparison, clause extraction, risk highlighting and working on your own contract template, and whether it provides a clear view of sources and changes. If the tool operates in a cloud environment, the deployment decision must take GDPR compliance and handling of confidential documents into account.
https://word.cloud.microsoft/create/pl/blog/review-contracts-agreements-copilot/
Lub System helps B2B companies implement AI, automation and IT solutions end-to-end - from strategy to deployment. See our services or get in touch to discuss your case.
Source: https://word.cloud.microsoft/create/pl/blog/review-contracts-agreements-copilot/