A free online AI lawyer helps obtain general information on a legal issue, identify contract terms, and draft a complaint or application. Artificial intelligence does not replace a practicing lawyer: before sending a document or taking any action, you need to verify the current version of the law, the facts, deadlines, and whether the conclusion applies to the situation.
If the task requires a paid model—for example, GPT-5.6 Terra—it is cheaper to obtain access through the partner service Clodex rather than directly from the vendor. The price difference is shown below.
| Price type | Official vendor price | Through Clodex |
|---|---|---|
| Input tokens | 2 $ / 1 million tokens | 0,07 $ / 1 million tokens |
| Output tokens | 12 $ / 1 million tokens | 0,56 $ / 1 million tokens |
| Difference | Input tokens — в 28,6 times cheaper; Output tokens — в 21,4 times cheaper | |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
Key points at a glance
- AI is useful for the initial analysis of a legal question, explaining terms, and preparing text.
- AI is not responsible for a legal conclusion and does not act as a representative in court.
- A good query contains the chronology of events, the parties’ roles, the objective, and the required answer format.
- Statutory provisions, case law, the details of government bodies, and procedural deadlines must be checked separately.
- You should not upload unnecessary personal data, bank details, signatures, or information about third parties to the chat.
- It is better to begin a complex dispute by preparing the facts and questions for a lawyer’s consultation rather than by copying an AI answer.
What is an AI lawyer, and how does it differ from an online consultation
A legal AI system is an artificial intelligence tool that processes a text query and generates an answer based on a language model and the data available to it. Such an assistant can explain legal terms in plain language, structure facts, find contradictions in a text, and suggest a draft document format.
An online consultation with a lawyer works differently. A professional assesses the factual circumstances, reviews the documents, determines the applicable law, clarifies the risks, and chooses a legal position. A lawyer can also explain which evidence matters and what will change if a new fact appears in the case.
The difference is especially noticeable in disputed situations. AI can compile a list of both parties’ arguments, but it does not know what evidence actually exists, how the correspondence was documented, whether the contract was signed by an authorized person, or which circumstances the court has already established.
It is more useful to view AI as a legal assistant for working with information. It speeds up preparation but does not turn a text answer into personalized legal advice.
What legal tasks can be handled with a free online AI system
AI handles tasks well when an initial text review, a clear explanation, or a structure for a future document is needed. The result becomes more useful when the user understands in advance exactly what they want to obtain: a definition, a list of risks, a draft application, or a list of questions for the other party.
Understand a legal term or rule of law
You can ask AI to explain what a penalty, offer, complaint, statement of claim, limitation period, or material contract term means. An AI system in Russian can also translate a complex rule into plain language and identify the facts on which its application depends.
A useful query format is to ask for a brief definition first, then a list of the conditions for applying the rule and the questions that need clarification. This turns a general answer into a plan for independent verification.
Prepare a draft document
AI can structure a complaint, application, cover letter, submission to an organization, or response to a counterparty. For a draft, you need to state who the document is addressed to, what events occurred, what the applicant is demanding, and what supporting materials they have.
A finished text cannot be sent without proofreading. The user checks the addressee, date, details, facts, list of attachments, wording of the demands, and signing method. If the procedure requires an electronic signature, AI does not replace the signature of an authorized person and does not create a qualified electronic signature under Federal Law No. 63-FZ “On Electronic Signatures.”
Analyze a contract
Reviewing a contract with AI helps quickly identify the subject matter of the transaction, payment terms, deadlines, liability, acceptance, and termination. Artificial intelligence can point out undefined terms, inconsistent wording, and clauses that should be discussed with the counterparty before signing.
What should you ask AI? For example: “Identify each party’s obligations, the conditions for unilateral withdrawal, and the clauses where the deadline or payment procedure is worded ambiguously.” Such a query does not require AI to make a final legal decision, but it helps avoid overlooking obvious questions.
Prepare for a consultation or dispute
Before meeting with a lawyer, AI helps organize the chronology of events, compile a list of available documents, identify disputed circumstances, and prepare questions. For a company employee, the reverse task is also useful: ask AI to outline the likely position of the other party and then check it manually.
A court document requires more rigorous review. Even a carefully written draft may fail to account for jurisdiction rules, requirements for attachments, the method of calculating the claims, or the point at which the procedural deadline begins.
When AI cannot replace a lawyer
The higher the cost of an error, the less reason there is to rely solely on a chatbot’s answer. This applies to a court dispute, especially when the law or the court has established a deadline for filing a document, as well as to situations where one omitted fact changes the legal classification.
A practicing lawyer is needed in a criminal case and when dealing with law enforcement authorities, bankruptcy, a tax dispute, a corporate conflict, inheritance, division of property, and real estate transactions. Employment conflicts involving a risk of dismissal or penalties and contracts involving significant financial obligations require separate analysis.
You should also not delegate the decision to AI when a document contains trade secrets, restricted-access information, or third-party data. AI can help prepare an anonymized chronology and questions, but access to the original materials must be assessed separately.
How to ask a lawyer a question through AI correctly
The quality of the answer depends on how precisely the user describes the task. The question “What should I do with the contract?” will almost always produce a general text. The chronology, the parties’ roles, and a specific objective give AI a basis for meaningful analysis.
- Describe the facts without unnecessary information. State the sequence of events, the status of the parties, the contract terms, the content of the correspondence, and the actions the participants have already taken.
- Formulate the task. Ask it to explain the risk of a specific clause, prepare the structure of a complaint, name the documents needed to support the position, or draft questions for the counterparty.
- Specify the desired format. In one case, a list of risks is needed; in another, a table with “contract term, possible problem, question for negotiations”; and in a third, a draft application.
- Ask it to separate facts from assumptions. AI should clearly state what information is missing for a conclusion and which circumstances it considers unproven.
- Request the grounds for verification. Ask it to identify the legal act, article, and keywords for independently searching for the current version.
- Clarify the result in stages. First analyze the facts, then the risks, followed by the document structure and final editing of the text.
Do not give the model the task “resolve the dispute for me.” It is better to set a verifiable goal: “Compile a list of contract terms that need clarification before signing, and separate direct risks from questions requiring a lawyer’s analysis.”
For SEO specialists and marketers, this approach is familiar from working with generative models: the quality of the result is determined not only by the tool but also by the source data. In the section materials about AI and neural networks SEO Mind42 examines the principles of formulating tasks for models and manually checking their answers.
How to verify an AI-generated legal answer
The answer must be checked before signing a document, making a payment, sending a complaint, or contacting an authority. AI can confidently formulate an incorrect conclusion, cite a nonexistent article, or apply a rule that does not relate to the circumstances of the case.
- Check whether the cited rule of law is in force in its current version.
- Verify the article number, the name of the authority, and the application procedure using official information.
- Make sure that the rule governs your specific situation rather than a similar case with different conditions.
- Check that AI has not confused the court, agency, document-filing procedure, or powers of the official.
- Clarify separately the deadlines and the event from which their calculation begins.
- Compare each conclusion with the contract, correspondence, receipt, statement of work, power of attorney, or other document.
- Do not treat an assumption as an established fact if it is not supported by the materials.
- Before signing and sending it, show legally significant text to someone who understands the consequences of the document.
Checking details is especially important when AI mentions case law. The name of the court or a general summary of the position does not prove that the decision applies. You need to verify the details of the judicial act, the circumstances of the case, and the legal rule applied by the court.
SEO Mind42 regularly writes about how to use models without blindly trusting generated content. We also recommend a piece about lawful use of AI in Russia, which covers the basic issues involved in using AI in work processes.
Can contracts and documents be uploaded to a legal AI system
Before uploading a contract to a third-party service, you need to understand which information is actually needed for the analysis. Passport details, bank information, home addresses, signatures, health information, or children’s data are usually not required to find contradictions in deadlines and payment terms.
Personal data is regulated by Federal Law No. 152-FZ “On Personal Data.” The legal basis for processing depends on the specific situation, so the issue cannot be reduced to consent alone. The user and the organization must assess what data is being transferred, why this is being done, and whether the service’s terms permit such processing.
The Federal Service for Supervision of Communications, Information Technology and Mass Media (Roskomnadzor) oversees compliance with personal data legislation. Violating personal data processing requirements may result in liability under Article 13.11 of the Code of Administrative Offenses of the Russian Federation.
An ordinary chatbot does not establish attorney-client privilege. Federal Law No. 63-FZ “On Advocacy and the Legal Profession in the Russian Federation” classifies matters related to legal assistance provided by an attorney as attorney-client privilege; Article 8 of that law discloses its substance. Materials received from an attorney or prepared for protected communication with one should not be transferred to a third-party service without assessing the risks.
If you decide while reading to take a paid plan, compare the official price with the price through a partner before subscribing directly: the difference is usually several times over, and the calculation is provided at the beginning and end of the article.
Neural network for contract review: what it will see and what it may miss
A neural network for analyzing a legal document is useful as a second reader. It quickly finds unclear wording, repeated provisions, and inconsistencies between sections, especially in a lengthy text where it is easy to manually miss a reference to another clause.
AI usually helps identify the absence of an acceptance, payment, or termination procedure; overly broad liability provisions; undefined terms; and different deadlines for the same action. The model can also prepare a list of questions for negotiations and briefly describe each party’s obligations.
A neural network may miss some risks. These include the signatory’s authority, mandatory terms for a particular type of transaction, industry-specific business practices, the actual performance of the contract, and case law concerning a narrowly defined dispute. A contract does not exist separately from the parties’ conduct after it has been signed.
Check the transcribed text as well. A photograph or scan may contain recognition errors: an incorrect digit, a missing word, or distorted details. Use verified text for analysis, and compare the final wording with the original document.
Neural networks for lawyers: how to use AI at work without sacrificing quality
For a legal department, AI for lawyers is most useful for repetitive text-based tasks. A neural network can organize documents, prepare a list of questions for a client, compare contract versions, translate complex legal text into plain language, and suggest a structure for a legal opinion.
A good workflow looks like this: a specialist provides anonymized facts, specifies the desired output format, receives a draft list of arguments, and then manually checks every reference to a legal rule and case law. The final legal position is formed by a person who sees the documents as a whole and is responsible for the chosen approach.
Automation does not eliminate the need for version control. If a neural network has prepared a letter or an internal template, the lawyer needs to check the wording of the obligations, the parties’ names, details, references to attachments, and whether the text corresponds to the current contract.
Mistakes when using AI as a lawyer
Typical mistakes arise not from the tool itself, but from trying to use it as a source of a final decision. The correct process begins with defining the task and ends with checking the result.
- The user asks an overly general question. Consequence: the neural network produces generic text that does not take the facts into account. Correct action: specify the events, objective, role of the parties, and expected response format.
- The user copies the response without checking it. Consequence: an error in a legal rule, deadline, or procedure may end up in the document. Correct action: verify that the law is current and that the conclusion applies to the materials.
- A complete document containing personal data is uploaded to the chat. Consequence: the risk of transmitting unnecessary confidential information increases. Correct action: anonymize the text and retain only the information without which analysis is impossible.
- AI is used instead of a lawyer in a dispute. Consequence: evidence, a deadline, or a procedural requirement may be missed. Correct action: use a neural network to prepare facts and questions, and have a specialist review the decision.
- The user trusts a reference to a nonexistent legal rule or judicial act. Consequence: an incorrect position may end up in correspondence, a claim, or court proceedings. Correct action: verify the details using official information about legislation and judicial acts.
How to choose a neural network for legal questions
There is no universally best legal neural network. Free access does not automatically make a service worse or better: the quality of the result is determined by the wording of the prompt, the completeness of the facts, document-handling capabilities, and subsequent review by a person.
For a legal task, it is worth assessing support for the Russian language, data-processing terms, the ability to avoid uploading unnecessary information, handling of long texts, and ease of editing the result. It is useful when a service allows you to save the conversation history, return to the original wording, and request the basis for a conclusion.
Transparent service limitations are more valuable than bold promises. If a neural network does not provide sources, fails to understand the context of a document, or answers too confidently without noting missing facts, use it only for preliminary text work.
FAQ
Can I get free legal advice through a neural network?
A neural network can provide reference information, explain a term, prepare a draft document, and list possible actions. A personalized legal conclusion in a complex dispute requires review by a practicing lawyer.
Can a neural network draft a claim or lawsuit?
AI can prepare the structure and a draft of a formal claim, application, or statement of claim. Before filing, you need to check the facts, demands, addressee, attachments, deadlines, the rules of the specific procedure, and the method of signing the document.
Can I send a photo of a contract to a neural network?
The transcribed text may contain errors, so it must be checked against the original. Before uploading it, remove information that is not needed for the analysis: personal data, signatures, bank details, and information about third parties.
Which neural network is best for a lawyer?
The answer depends on the task. For working with legal text, important factors include the quality of the Russian language, clear data-processing terms, the ability to analyze a document in parts, and the service’s willingness to show the limitations of its result.
Do I need to verify references to laws provided by a neural network?
Yes. A neural network may get the details wrong, cite a version that is no longer in force, or apply a rule to an unsuitable situation. Check the text of the law, the article, the version date, and the connection between the rule and the circumstances of the case.
Does a neural network replace a lawyer?
No. A neural network does not become a lawyer, represent a person’s interests in proceedings, or create attorney-client privilege. It helps prepare information and text, but it does not make a legally significant decision instead of a specialist.
The main point: use a neural network as an assistant, not as the sole source of a legal decision
AI helps you understand a situation faster, prepare a draft document, and avoid forgetting important questions. Legally significant actions require review, and the involvement of a practicing lawyer becomes essential when a mistake affects money, property, litigation, deadlines, or other people’s rights.
- A neural network is suitable for preliminary analysis, structuring text, and preparing questions.
- A contract, formal claim, application, and court document must be checked before signing and sending.
- Personal and confidential information should be minimized before uploading it to a service.
- The more complex the situation, the more important manual legal review becomes.
SEO Mind42 publishes free practical materials on search, automation, and the use of neural networks in work-related tasks. Use AI to prepare materials and check their logic, but always compare the legal conclusion with the documents and the current legislation of Russia.
Paid access through the API
If the free limits are not enough, access to models through the API can be arranged directly with the vendor or through the Clodex partner service — below is a comparison of the official prices and the prices through the partner. For example, GPT-5.6 Terra through the partner is 28,6 times cheaper than the official price — the full list of models is in the table.
| Model | Official: input / output | Through Clodex: input / output |
|---|---|---|
| qwen3.6-flash | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens | Input: 0,019 $ / 1 million tokens Output: 0,019 $ / 1 million tokens |
| qwen3.6-plus | Input: 0,5 $ / 1 million tokens Output: 3 $ / 1 million tokens | Input: 0,032 $ / 1 million tokens Output: 0,032 $ / 1 million tokens |
| qwen3.7-plus | Input: 0,4 $ / 1 million tokens Output: 1,6 $ / 1 million tokens | Input: 0,045 $ / 1 million tokens Output: 0,045 $ / 1 million tokens |
| codex-auto-review | — | Input: 0,0525 $ / 1 million tokens Output: 0,0525 $ / 1 million tokens |
| gemini-3.7-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-high | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-low | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| gemini-3.7-flash-medium | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,06 $ / 1 million tokens Output: 0,24 $ / 1 million tokens |
| qwen-image-2.0 | — | 0,06 $ / шт. |
| gpt-5.6-luna | Input: 0,2 $ / 1 million tokens Output: 1,2 $ / 1 million tokens | Input: 0,063 $ / 1 million tokens Output: 0,504 $ / 1 million tokens |
| grok-composer-2.5-fast | — | Input: 0,068 $ / 1 million tokens Output: 0,068 $ / 1 million tokens |
| clodex-cursor | — | Input: 0,07 $ / 1 million tokens Output: 0,07 $ / 1 million tokens |
| gpt-5.6-terra | Input: 2 $ / 1 million tokens Output: 12 $ / 1 million tokens | Input: 0,07 $ / 1 million tokens Output: 0,56 $ / 1 million tokens |
| deepseek-v4-pro | Input: 1,32 $ / 1 million tokens Output: 3,96 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.5 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| grok-4.6 | Input: 2 $ / 1 million tokens Output: 6 $ / 1 million tokens | Input: 0,08 $ / 1 million tokens Output: 0,08 $ / 1 million tokens |
| clodex-cursor-pro | — | Input: 0,084 $ / 1 million tokens Output: 0,084 $ / 1 million tokens |
| gemini-3.6-flash | Input: 0,75 $ / 1 million tokens Output: 3,75 $ / 1 million tokens | Input: 0,09 $ / 1 million tokens Output: 0,36 $ / 1 million tokens |
| kimi-k3 | — | Input: 0,09 $ / 1 million tokens Output: 0,09 $ / 1 million tokens |
| glm-5.2 | — | Input: 0,1 $ / 1 million tokens Output: 0,1 $ / 1 million tokens |
| gpt-image-2 | — | 0,1 $ / шт. |
| nano-banana-2 | — | 0,1 $ / шт. |
| deepseek-v4-flash | Input: 0,44 $ / 1 million tokens Output: 1,32 $ / 1 million tokens | Input: 0,12 $ / 1 million tokens Output: 0,12 $ / 1 million tokens |
| qwen-image-2.0-pro | 0,075 $ / шт. | 0,12 $ / шт. |
| qwen-image-3.0-pro | — | 0,12 $ / шт. |
| qwen3.7-max | Input: 2,5 $ / 1 million tokens Output: 7,5 $ / 1 million tokens | Input: 0,13 $ / 1 million tokens Output: 0,13 $ / 1 million tokens |
| glm-5.3 | — | Input: 0,15 $ / 1 million tokens Output: 0,15 $ / 1 million tokens |
| MiMo-V2-Flash | — | Input: 0,162116 $ / 1 million tokens Output: 0,162116 $ / 1 million tokens |
| qwen3.8-max | — | Input: 0,17 $ / 1 million tokens Output: 0,17 $ / 1 million tokens |
| grok-imagine-video-1.5 | — | 0,18 $ / шт. |
| MiniMax-M2.1 | — | Input: 0,2 $ / 1 million tokens Output: 0,2 $ / 1 million tokens |
| MiniMax-M2.5 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M2.7 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| MiniMax-M3 | — | Input: 0,22233 $ / 1 million tokens Output: 0,22233 $ / 1 million tokens |
| gpt-5.5 | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| gpt-5.6-sol | Input: 5 $ / 1 million tokens Output: 30 $ / 1 million tokens | Input: 0,25 $ / 1 million tokens Output: 2 $ / 1 million tokens |
| claude-haiku-4-5 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-haiku-4-5-20251001 | Input: 1 $ / 1 million tokens Output: 5 $ / 1 million tokens | Input: 0,2805 $ / 1 million tokens Output: 1,4025 $ / 1 million tokens |
| claude-opus-4-7 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,3 $ / 1 million tokens Output: 1,5 $ / 1 million tokens |
| claude-sonnet-4-6 | Input: 3 $ / 1 million tokens Output: 15 $ / 1 million tokens | Input: 0,34125 $ / 1 million tokens Output: 1,70625 $ / 1 million tokens |
| claude-sonnet-5 | Input: 2 $ / 1 million tokens Output: 10 $ / 1 million tokens | Input: 0,35 $ / 1 million tokens Output: 1,75 $ / 1 million tokens |
| Kimi-K2 | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| Kimi-K2-Thinking | — | Input: 0,423486 $ / 1 million tokens Output: 0,423486 $ / 1 million tokens |
| MiniMax-M2.7-highspeed | — | Input: 0,44466 $ / 1 million tokens Output: 0,44466 $ / 1 million tokens |
| claude-opus-4-8 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,45 $ / 1 million tokens Output: 2,25 $ / 1 million tokens |
| kimi-k2.5 | — | Input: 0,489655 $ / 1 million tokens Output: 0,489655 $ / 1 million tokens |
| kimi-k2.6 | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| kimi-k2.7-code | — | Input: 0,701398 $ / 1 million tokens Output: 0,701398 $ / 1 million tokens |
| claude-opus-5 | Input: 5 $ / 1 million tokens Output: 25 $ / 1 million tokens | Input: 0,85 $ / 1 million tokens Output: 0,85 $ / 1 million tokens |
| kimi-k2.7-code-highspeed | — | Input: 1,402797 $ / 1 million tokens Output: 1,402797 $ / 1 million tokens |
| claude-fable-5 | Input: 10 $ / 1 million tokens Output: 50 $ / 1 million tokens | Input: 2,5 $ / 1 million tokens Output: 2,5 $ / 1 million tokens |
Partner price source: Clodex. Price check date: 2026-08-18.
SEO Mind42 does not sell API access or provide tokens: we recommend a third-party service Clodex. This is an affiliate link.
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