For lawyers, the use of artificial intelligence is no longer an abstract debate about the future, but a practical area of choice affecting daily workflows. However, the right question is not simply “which program should we use?”; first, it must be asked whether the available tools meet the legal evaluation standard.
Many AI products currently prominent in the legal field have strong text-generation or summarization capabilities, but this alone does not mean that they perform a legally qualified evaluation. In legal services, the benchmark is not limited to fast answers, fluent text, or broad data-processing capacity. The benchmark is the accuracy of legal reasoning, the auditability of sources, compliance with confidentiality obligations, and safe use within the framework of professional responsibility.
Why Should the Real Question in Choosing AI Be “At What Standard?” Rather Than “Which One?”
It is understandable that lawyers may initially focus on ease of use, speed, or language capabilities when selecting an AI tool. However, in legal practice, every text produced, every recommendation given, and every classification made may lead to consequences that can directly affect rights and obligations.
For this reason, choosing a tool is not a technical software preference; it is also a matter of professional risk management. An AI product may be able to provide explanations based on general information. But for legal evaluation, the following questions must also be answered:
- Can the sources on which it bases its answers be audited?
- Does it offer a reliable mechanism in terms of current legislative and case-law changes?
- Can the possibility of producing incorrect, incomplete, or out-of-context answers be managed?
- Is confidentiality and data security ensured for the information entered by the user?
- Does the output produced assist the lawyer’s independent legal assessment, or is it positioned as if it replaces that assessment?
It may be problematic to use a tool that cannot provide clear and satisfactory answers to these questions without limitation in legal practice.
What Does the Legal Evaluation Standard Mean?
The term “legal evaluation standard” means that a tool does not merely generate text, but meets the minimum safety, accuracy, and auditability criteria required by legal work. In law, evaluation is a layered process that includes characterizing the facts, identifying the applicable rule, examining exceptions, and taking into account evidentiary and procedural dimensions.
For this reason, AI output should not be treated as a final legal opinion, but only as an auxiliary work product. Particularly in documents such as petitions, contracts, legal opinions, notices, or risk analyses, every result produced by AI must also be reviewed by a lawyer.
The main elements of the legal evaluation standard can be summarized as follows:
| Criterion | Importance for Legal Practice |
|---|---|
| Auditability of sources | It must be possible to verify the underlying legislation, case law, or explanation. |
| Currency | Legal information may change; outdated output can create serious risks. |
| Context sensitivity | The same legal issue may lead to different outcomes depending on the details of the facts. |
| Confidentiality | Client information and confidential data must be protected. |
| Human oversight | Ultimate responsibility lies with the lawyer; the tool should not be the decision-maker. |
Professional Secrecy, the KVKK, and Data Security
One of the areas in which lawyers must exercise the greatest care when using AI is the confidentiality obligation. Information obtained within the scope of the attorney-client relationship may constitute professional secrecy. Entering this information into third-party systems may give rise to legal and ethical risks depending on the data-processing policies of the tool used.
In addition, in every scenario in which personal data is processed, an assessment must be made within the framework of Law No. 6698 on the Protection of Personal Data (KVKK). Issues such as where the data entered into the AI tool is stored, for what purpose it is processed, whether it is shared with third parties, and whether it is deleted are important.
Law firms and in-house legal departments should develop internal policies particularly on the following issues:
- Whether data containing client names, identity information, trade secrets, and litigation strategy may be entered into AI tools,
- Whether use without anonymization or masking will be prohibited,
- Which tools are approved for institutional use,
- By whom and how the outputs produced will be reviewed,
- How data security and access authorizations will be managed.
These topics are important not only in terms of technical security, but also in terms of professional responsibility.
AI Does Not Replace the Lawyer; It Supports the Work Process
In legal practice, the most efficient use of AI is not to make decisions in place of the lawyer, but to support the lawyer’s work process. For example, it may be useful in areas such as preparing draft texts, summarizing lengthy documents, preparing checklists, generating sets of questions, or making alternative arguments visible.
However, reaching a legal conclusion is not merely a matter of gathering information. The characteristics of the facts, the client’s interests, procedural strategy, the state of the evidence, the opposing party’s likely defenses, and judicial practice must be assessed together. This assessment requires the professional reasoning of the human lawyer.
For this reason, the following principle should be adopted in the use of AI outputs: The tool may provide speed, but it cannot assume responsibility. The person who gives the legal text its final form, undertakes the legal opinion, and is responsible to the client remains the lawyer.
Practical Selection Criteria for Law Firms
When assessing whether an AI program can be used in legal practice, it is not sufficient to look only at its popularity or marketing claims. Measurable and auditable criteria should be established for institutional use.
The basic selection criteria for law firms and legal departments may include the following:
- Confidentiality and data-processing terms: How the data entered is used must be examined clearly.
- Ability to cite sources: The bases for legal assertions must be verifiable.
- Currency mechanism: The limits of the system in terms of changes in legislation and practice must be known.
- Institutional management capability: User authorizations, records, and access controls must be manageable.
- Oversight against error risk: Outputs must always be reviewed by a lawyer.
- Limit on purpose of use: The tool should be positioned not for every task, but for appropriate workflows.
These criteria do not mean rejecting AI entirely. On the contrary, they enable technology to be integrated into legal practice in a safe and sustainable manner.
What Does This Mean in Practice?
For lawyers, choosing AI is not a matter of finding the “most powerful” or “most popular” tool. The real aim is to create a usage model that meets the legal evaluation standard, is compatible with confidentiality obligations, and keeps human oversight at the center.
In summary:
- AI tools should be used not to replace legal reasoning, but to support the lawyer’s work.
- When selecting a tool, auditability of sources, currency, and data security should be examined as much as speed and text quality.
- Use is risky without establishing a confidentiality policy for client information and personal data.
- Every legal output produced must be reviewed by a lawyer before final use.
- The right question should not be “which program?” but “which tool meets the legal evaluation standard?”