diff.legal / research
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Map-saving termsProduct legal modelLegal review of a productLegal preparation for launchDevelopment rightsLicences and third-party componentsLegal model for AI outputsProtecting technology assetsReview of data sourcesPersonal dataConfidentiality and data transferSupporting a pilotEnterprise customer contractPartner sales modelLegal review of marketingAI use inventoryAI use rulesAI vendor reviewAI system documentationTraining in AI usePreparing for an AI governance reviewLegal analysis of a foreign marketInternational launchCorporate organisationInvestment and technology transactionsLegal preparation of a grant applicationSupporting a funded projectRegistrations and statusesExperimental legal regime supportTechnology and AI disputesIncident supportExternal legal teamFirstNextStated factsWhy review thisWork resultExplore the offerRelated tasksQuestions to clarifyNo recommendations yet. Specify at least your next task.Calculating your route…Could not get the result. Answers remain in this page’s memory; try again.Too many requests. Wait and try again.Sign-in is currently unavailable. Your map result remains available.Email delivery is currently unavailable. You can try signing in with an existing password.Sign-in confirmed. Saving is not available yet; your draft stays on this page.A code was sent if the address is eligible for the selected action. Enter the email code.Check your email, password, code and separate consent. Your map answers stay on the page.Confirm the separate account consent.Reopen the sign-in form and read the current consent document.Checking access…Answers are stated facts. This map helps select questions for review and does not confirm product legality. The anonymous calculation is not saved.AI deployment was selected, but employees were said not to use it. Clarify whether this is planned use or another task.Clarify: company role.Clarify: stage.Clarify: next task.Clarify: product components.Clarify: data categories.Clarify: customers and users.Clarify: operating territory.Clarify: employee use of ai.Company roleWe develop the productWe sell another provider’s solutionWe commission a solutionWe use it internallyUnknownStageIdeaDevelopmentPilotProduct is liveUnknownNext taskLaunch an assistant or productInvestment or business saleAI within the companyGrant applicationIncidentNo specific event yetUnknownProduct componentsOwn code and modelOpen sourceExternal API or modelNo components yetUnknownData categoriesPersonal dataConfidential informationPublicly accessible materialsNo data usedUnknownCustomers and usersBusinessesIndividualsEmployeesMultiple categoriesUnknownOperating territoryRussiaForeign marketRussia and other countriesUnknownEmployee use of AIIn useNot in usePlannedUnknownFirst determine response measures and how to handle incident facts.Before an investment round or sale, agree on technology diligence and transaction terms.Before applying, check the program requirements and the legal part of the documents.Before departments use AI, define permitted tasks and working rules.Before launch, review product functions, user relationships and responsibility limits.At the idea stage, clarify constraints affecting functions and the business model.For a pilot, agree on review scope, data access and terms for moving to deployment.For your own code and model, check the rights chain from development contributors.For open source, identify license terms and distribution obligations.For an external API or model, review vendor terms, data and liability.When using personal data, clarify purposes, participant roles and processing grounds.For confidential information, agree on access and transfer conditions.For public materials, check sources and usage conditions: accessibility alone does not determine rights.For business customers, agree on deployment, quality, data and allocation of responsibility.For individual users, prepare terms of use and the customer journey.For a foreign market, first identify the country, functions and market entry requirements.When AI is used or planned, inventory tools, tasks and data flows.Product legal modelUnderstand constraints that affect architecture and the business model.A relationship model and decisions before development.Legal review of a productIdentify issues and prioritise fixes.An issue register and a remediation plan.Legal preparation for launchDocument access, payment and usage rules.Documents and requirements for presenting them in the interface.Development rightsConfirm company rights and address gaps.A rights holder map and documents supporting the chain of rights.Licences and third-party componentsUnderstand permissions and usage restrictions.A restrictions table and required actions.Legal model for AI outputsDetermine rights and what you can promise users.User terms and rules for using outputs.Protecting technology assetsChoose protection methods and disclosure rules.A protection plan and support for selected procedures.Review of data sourcesCheck grounds for training, search and other uses.A source map and permitted uses.Personal dataAlign actual processes with applicable requirements.A processing model, documents and process change tasks.Confidentiality and data transferDefine limits on disclosure, storage and transfer.Information handling rules and permitted scenarios.Supporting a pilotAgree objectives, data, acceptance and transition to operation.Pilot terms and steps after completion.Enterprise customer contractReview obligations and prepare for negotiations.Revisions, negotiation position and agreed documents.Partner sales modelAllocate rights, revenue, support and responsibility.A relationship model and sales channel documents.Legal review of marketingCheck public claims and the presentation of materials.Revised materials and a publication approval process.AI use inventoryFind uses, data involved and people responsible.An inventory and priority areas for change.AI use rulesSet tool approval and output review procedures.Practical company rules and procedures.AI vendor reviewCompare terms and dependence on the vendor.Option comparison and required contractual terms.AI system documentationExplain characteristics and usage limits consistently.Documentation aligned with the product and contractual promises.Training in AI useTurn documents into actions for each role.Sessions, instructions and materials for selected roles.Preparing for an AI governance reviewIdentify applicable requirements and evidence of compliance.A compliance table, gaps and an evidence package.Legal analysis of a foreign marketIdentify requirements for the product and company role.An assessment and preparation plan for the selected market.International launchAddress identified requirements and document relationships.Jurisdiction documents and a register of completed actions.Corporate organisationDocument contributions, governance, developments and exit.Governance rules and documents for participant relationships.Investment and technology transactionsPrepare the asset for review and document the transaction.Review materials and documents for the transaction stage.Legal preparation of a grant applicationCheck eligibility and future obligations.Participation assessment and the legal part of the application.Supporting a funded projectMeet obligations and document changes.An obligations calendar and change documents.Registrations and statusesChoose a procedure and prepare evidence.Procedure documents and requirements for retaining status.Experimental legal regime supportAssess a special regime and organise participation.An available route assessment and stage documents.Technology and AI disputesPreserve evidence and choose a protection strategy.A position, evidence map and actions for the stage.Incident supportOrganise the response and cooperation between participants.A response plan, documents and measures to address causes.External legal teamKeep legal arrangements up to date.Working arrangements, current documents and regular change reviews.
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