Summarising legal documents with AI: tools, risks and best practices- Clio
“Time is what we want most, but what we use worst.” – William Penn
Few professionals understand time constraints better than lawyers.
We spend countless hours reviewing legal documents, from pleadings and applications to contracts, policies, case law, and legislation. Among the most notorious time drains: contract review. In fact, research suggests that poor contract management, including time spent reviewing, can erode up to 9% of a contract’s value.
Is that really the best use of a lawyer’s time? Or would we be better off focusing on strategy, analysis, and client relationships?
AI can help lawyers get some of that time back by summarising legal documents. When used effectively, AI document summarisation is more than a reading shortcut; it powerfully aids decision-making. A high-quality summary helps lawyers quickly identify key issues, assess risk, and determine next steps. Beyond time savings, the true value of legal document summarisation is enabling better legal decisions.
The tool you choose matters. The right tool will determine your summaries’ accuracy and security, and whether they integrate seamlessly into existing legal workflows. Here’s what to look for—and how to find the right fit for your firm.
“Time is what we want most, but what we use worst.” – William Penn
Few professionals understand time constraints better than lawyers.
We spend countless hours reviewing legal documents, from pleadings and applications to contracts, policies, case law, and legislation. Among the most notorious time drains: contract review. In fact, research suggests that poor contract management, including time spent reviewing, can erode up to 9% of a contract’s value.
Is that really the best use of a lawyer’s time? Or would we be better off focusing on strategy, analysis, and client relationships?
AI can help lawyers get some of that time back by summarising legal documents. When used effectively, AI document summarisation is more than a reading shortcut; it powerfully aids decision-making. A high-quality summary helps lawyers quickly identify key issues, assess risk, and determine next steps. Beyond time savings, the true value of legal document summarisation is enabling better legal decisions.
The tool you choose matters. The right tool will determine your summaries’ accuracy and security, and whether they integrate seamlessly into existing legal workflows. Here’s what to look for—and how to find the right fit for your firm.
Can AI summarise legal documents?
The short answer is yes: among AI’s best use cases in law is summarising legal documents. It isn’t, however, foolproof, and its performance depends largely on the chosen tool. Any tool’s capabilities and limitations are best understood by viewing legal AI summarisation as a spectrum:
- Generic AI summarisation: Produces summaries without meaningful understanding of legal context or terminology.
- Law-tuned summarisation: Utilising legal language and document structures, improving accuracy for applications, contracts, pleadings, and case law.
- Matter-aware summarisation: Integrates summaries within the specific matter’s context, including deadlines, tasks, and workflows—providing actionable insights.
Matter-aware summarisation is the most sophisticated option, offering lawyers the greatest value. Even so, AI-generated summaries can have limitations. While AI can experience “hallucinations” (seen more often with generic AI tools such as ChatGPT), a common risk with any AI tool is the omission of exceptions, conditional clauses, or defined-term dependencies. As a result, a summary might sound correct yet still be legally incomplete and unreliable. Human review remains necessary, no matter which AI tool you use to summarise your documents.
A way to mitigate this risk: the tool provides ground truth (e.g., non-hallucinated text from cases, statutes, regulations, contracts).
In summary, legal document summarisation technology is common, but the tool is only as powerful as its application—and access to matter context (e.g., client correspondence and documents) and legal ground truth (e.g., recent case law, statutes, or regulations). AI summarisation reaches its full potential when embedded within the legal matter itself, turning summaries into tools for decision-making and well-informed action.
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