Small law firms need simple AI rules and a clear workflow to stay in control – LexisNexis
AI adoption is rising quickly across the legal profession, but structure is not keeping pace. The report highlights that informal, anything-goes AI use leads to inconsistent standards, unclear accountability and avoidable risk. For small firms and sole practitioners, the answer is not building an innovation function. It is implementing a small number of clear rules and one defined workflow that keeps quality, confidentiality and client confidence intact.
Why informal AI use creates disproportionate risk in small firms
AI is already embedded in core legal work. 65% of lawyers are using it for legal research, with over half applying it to drafting, knowledge work and document analysis. Yet only 17% say AI is embedded in strategy and operations.
For smaller practices, this gap is more acute. Without formal structures, AI use tends to develop organically, varying by individual. This creates inconsistency in output, uneven review standards and potential exposure to confidentiality risks.
As the report makes clear, high adoption does not equal operational maturity. Without agreed controls, AI can introduce variability at the point where firms are trying to maintain consistent quality.
Rule one use only approved tools for client work
The first and most important control is clarity on which tools can be used for client matters. Not all AI tools are designed for legal work, and not all meet the standards required for confidentiality and accuracy.
This reflects a broader trend in the profession. Lawyers show a clear preference for trusted, legal-specific tools when working on high-risk tasks such as research and drafting.
Stuart Greenhill, Senior Director of Segments at LexisNexis UK, explains:”In legal work, confidence is not enough. Authority matters. Validation matters. Security matters. If you cannot stand behind the output, it is not legal AI. It is just AI”.
Using approved tools ensures that outputs are grounded, defensible and aligned with professional expectations.
Rule two every AI output is a first draft
AI can accelerate drafting, but it cannot replace legal judgment. Every output should be treated as a starting point that requires review, refinement and validation.
This mindset is essential to managing risk. 82% of legal professionals express concern about inaccurate or fabricated AI outputs, reinforcing the need for scrutiny.
A useful way to embed this behaviour is to position AI as a junior member of the team. As highlighted in the report:”AI is most powerful when used as a thinking partner rather than a shortcut. It accelerates research and drafting, but the real value comes from critically engaging with its output”.
This approach maintains control while still capturing efficiency gains.
Rule three confidential data stays within approved environments
Confidentiality is non-negotiable. Client data should never be entered into unapproved tools, particularly those that rely on open or unclear data handling practices.
The report highlights ongoing concerns across the profession around confidentiality and over-reliance on AI. For small firms, where reputational risk is closely tied to individual relationships, these risks are amplified.
Clear rules on data handling, combined with approved platforms, provide a simple but effective safeguard.
Start with one mapped workflow not multiple use cases
Rather than trying to apply AI everywhere, small firms should begin with a single, clearly defined workflow. This might cover research, drafting, review and client delivery.
Mapping this process creates clarity on:
- Where AI is used
- Which tools are approved
- What review is required
- Who is accountable at each stage
This reduces ambiguity and creates a repeatable model that can be refined over time.
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Use AI as a thinking partner then interrogate the output
AI delivers the most value when used to accelerate thinking, not replace it. This means using it to structure research, test arguments and generate first drafts, followed by careful interrogation of the output.
This reflects a broader shift in the profession towards combining efficiency with judgment. As Bhavisa Patel, Director of Legal Technology and Business Services at Eversheds Sutherland, notes:“the human element is what ensures quality and mitigates risk”.
For small firms, this balance is critical. It allows them to compete on efficiency without compromising standards.
Implementing the three simple rules
Small firms do not need complex AI strategies to benefit from the technology. They need clarity, consistency and control.
By implementing three simple rules and mapping a single workflow, firms can reduce risk, improve quality and create a scalable foundation for AI adoption.
The firms that succeed will not be those that use AI the most, but those that use it with discipline. In a market where trust and defensibility matter, simplicity is often the most effective strategy.
