AI Model Procurement, Training-Data and Deployment Agreements in Bangladesh

by Barrister Tahmidur Rahman | Sep 20, 2026

Technology, IP & DataContracts for buying and deploying AI8 min read

AI Model Procurement, Training-Data and Deployment Agreements in Bangladesh

AI model procurement and deployment advice for Bangladeshi businesses, banks, telecoms, public bodies and international vendors, covering model licences, cloud and API terms, training-data rights, fine-tuning, data protection under the Personal Data Protection Act 2026, performance and accuracy commitments, liability and exit.

Overview

How we advise on AI model procurement in Bangladesh

Bangladeshi businesses are now building generative AI into customer service, credit decisions, fraud detection, document review, software development and internal knowledge and search tools. Each step usually involves a contract: a licence or subscription for a foundation model, an API agreement, a cloud hosting arrangement, a fine-tuning project or a services contract with an integrator. AI model procurement raises legal questions that ordinary software contracts were not written to answer, about data, outputs, accuracy and accountability. We advise buyers and suppliers on these contracts as part of our technology, IP and data practice in Bangladesh.

Bangladesh does not yet have an AI-specific statute, so the legal framework comes from general law applied to new facts. The Contract Act 1872 governs the agreements themselves. The Personal Data Protection Act 2026 applies when personal data is used to train, fine-tune, prompt or evaluate a model, or when a model produces outputs about identifiable people. The Copyright Act 2023 and other IP laws affect training data, model weights and outputs. Sector regulators, particularly Bangladesh Bank and BTRC, expect regulated firms to manage outsourcing, technology and data risk. Government buyers must also follow public procurement law.

Most AI vendors offer standard terms drafted for their home markets. Those terms often give the vendor wide rights to use customer data to improve its services, disclaim responsibility for outputs, limit liability to a small amount, allow unilateral changes to the model and say little about where data is processed. For a Bangladeshi bank, hospital, telecom operator or public body, those positions may conflict with regulatory duties or create unacceptable risk. Effective AI model procurement starts by identifying which terms matter most for the intended use, then negotiating, supplementing or documenting the residual risk with the board's knowledge.

Training data deserves particular attention in AI model procurement. A buyer that supplies its own data for fine-tuning or retrieval needs to know whether the vendor can reuse it, whether it will be mixed with other customers' data, how it is secured and whether it can be deleted. A supplier that trains models on Bangladeshi data needs to confirm that it has the rights and lawful basis to do so, including for scraped content, customer records and licensed datasets. Data licences, data processing terms and confidentiality provisions must be drafted together and reflect the Personal Data Protection Act 2026.

Deployment is where legal risk becomes operational. Contracts should address performance and accuracy measures, testing before go-live, human oversight, bias monitoring, incident reporting, security, model updates and version control, audit rights, regulatory cooperation and a workable exit if the relationship ends. We help clients align these terms with internal AI policies and governance, working with our regulatory lawyers where sector rules apply. For cross-border AI model procurement, we coordinate with counsel in the UK, US, UAE, China, India and Singapore, and we consider how foreign rules such as the EU AI Act may reach Bangladeshi exporters.

01 · What we handle

Core workstreams

  • Foundation model and API licences
  • Training-data licences and data sourcing
  • Custom development and fine-tuning
  • Deployment, governance and service terms
02 · How it runs

Four clear stages

  1. 01Use case and risk scoping
  2. 02Vendor terms review
  3. 03Negotiation and documentation
  4. 04Deployment and review
03 · Start here

Talk to a partner

Consultations in Dhaka or by video. Scope, team and fees are agreed in writing first.

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How we help

AI contracting work we handle

Workstream 01Technology, IP & Data

Foundation model and API licences

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
Workstream 02Technology, IP & Data

Training-data licences and data sourcing

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
Workstream 03Technology, IP & Data

Custom development and fine-tuning

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
Workstream 04Technology, IP & Data

Deployment, governance and service terms

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
Workstream 05Technology, IP & Data

Public sector and regulated buyers

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
Workstream 06Technology, IP & Data

Vendor-side AI contracting

  • Use case and risk scoping
  • Vendor terms review
  • Negotiation and documentation
  • Deployment and review
01

Foundation model and API licences

We review and negotiate enterprise licences, subscriptions and API agreements for foundation models and AI platforms, focusing on permitted use, customer data rights, output ownership, confidentiality, security, data location, service levels, price changes, model deprecation and liability. Where vendors will not change their standard terms, we identify the gaps, propose practical mitigations and record the residual risk for management so that AI model procurement decisions are informed.

02

Training-data licences and data sourcing

We draft and review agreements for acquiring, licensing and sharing datasets used to train, fine-tune or evaluate AI systems, including warranties on rights and consents, permitted uses, restrictions on re-identification, data quality, deletion and audit. We also advise on the lawful basis for using customer and employee data under the Personal Data Protection Act 2026 and on the copyright risks of scraped or third-party content. Data terms often dominate AI model procurement.

03

Custom development and fine-tuning

We prepare contracts for vendors and integrators who build, fine-tune or integrate AI models for a client, covering specifications, acceptance testing, ownership of fine-tuned weights, prompts and code, use of the client's data, confidentiality, staffing, milestones and change control. We make sure that what the client is paying to create is clearly identified, protected and available to the client if the vendor relationship ends. Measurable acceptance criteria and a defined change-request process help avoid arguments about whether a delivered model meets the agreed brief.

04

Deployment, governance and service terms

We draft deployment and managed service terms dealing with human oversight, accuracy and performance monitoring, bias testing, incident and error reporting, model updates, version control, logging, audit rights, regulator access and business continuity. We align these terms with the client's AI policy, risk appetite and sector obligations, so that the contract supports responsible use after launch and not only at signing. This is where AI model procurement meets day-to-day operations.

05

Public sector and regulated buyers

We advise government bodies, state-owned enterprises, banks, insurers, telecoms and healthcare providers on AI model procurement that meets public procurement rules, outsourcing guidelines, confidentiality duties and data protection requirements. We help prepare tender specifications and evaluation criteria, review bids and negotiate contracts that give the buyer appropriate control, transparency and accountability over the AI system. We also advise on challenges to tender and award decisions.

06

Vendor-side AI contracting

We act for Bangladeshi and international AI developers selling to customers in Bangladesh and abroad, preparing standard terms, data processing agreements, acceptable use policies and service descriptions that are commercially attractive and legally sound. We help vendors respond to customer negotiation points on liability, data and IP, and prepare for due diligence by investors and enterprise buyers. Strong standard terms shorten AI model procurement cycles with enterprise customers.

RecognitionThe Legal 500Asia Pacific ranks Tahmidur Remura Wahid (TRW) Law Firm for dispute resolution in Bangladesh.
Cross-border reach6 jurisdictionsMatters coordinated with counsel in the UK, US, UAE, China, India and Singapore.
Bar and admissionsDhaka and LondonBarristers and advocates in Bangladesh, with a solicitor of England and Wales (non-practising).
HeadquartersDhakaHouse 410, Road 29, Mohakhali DOHS. Consultations in person or by video.
Who leads this work

Partner-led, on every matter.

Technology, IP & Data matters at TRW are led by partners, supported by associates, with one responsible lawyer from first advice to final outcome.

Meet the firm →
01

Is there an AI law in Bangladesh that governs AI model procurement?

Not yet. Bangladesh does not have an AI-specific statute, although government policy work on artificial intelligence has continued and specific rules may follow. In the meantime, AI model procurement is governed by general contract law, the Personal Data Protection Act 2026, copyright and other IP laws, cyber security law, sector regulations for banks, telecoms and other regulated businesses, and public procurement law for government buyers. Because these rules were not designed with AI in mind, the contract does much of the work. We advise on how the existing law applies and draft terms that anticipate likely regulatory developments.

02

Can the AI vendor use our data, prompts and outputs to train its models?

Only if the contract allows it. This is a central AI model procurement issue, and many standard terms allow some use of customer data unless the customer opts out. For Bangladeshi businesses, allowing reuse can conflict with confidentiality duties, bank secrecy, professional obligations and the Personal Data Protection Act 2026. The contract should state clearly whether prompts, uploaded files, outputs and fine-tuning data can be used for training, retained or shared, and how deletion works. We review the vendor's terms and settings, negotiate restrictions where needed, and document the position for the client's data protection records.

03

Who owns the outputs and fine-tuned models in an AI contract?

Ownership depends on the contract and on intellectual property law, which is still adjusting to AI-generated material. Many vendors assign or disclaim rights in outputs to the customer but keep ownership of the underlying model, while fine-tuned weights and custom prompts may belong to either party depending on the drafting. Copyright protection for purely machine-generated outputs is uncertain in many jurisdictions, including Bangladesh. We draft ownership and licence clauses that give the client the rights it actually needs to use, modify and commercialise what it pays for, and protect against third-party infringement claims. Clear drafting avoids later disputes.

04

What liability can we expect a vendor to accept for AI errors?

AI vendors usually limit liability heavily and exclude responsibility for the accuracy of outputs, on the basis that the customer decides how to use them. Large enterprise buyers can sometimes negotiate higher caps, indemnities for IP infringement and data breaches, and specific commitments on security and service levels. Liability for decisions made using AI, for example in lending or medical triage, will often remain with the business deploying it. We help clients understand where risk sits, negotiate what is achievable and put internal controls, testing and human review in place for the remaining risk in AI model procurement.

05

Does the Personal Data Protection Act 2026 restrict sending data to foreign AI providers during AI model procurement?

The Personal Data Protection Act 2026 introduces rules on processing personal data and on transferring it outside Bangladesh, and sector regulators may impose additional data location or outsourcing requirements on banks, telecoms and other regulated entities. Many AI services process data in other countries, so a transfer analysis is needed before deployment. Implementing rules and guidance are still developing. We map the data flows in the proposed AI solution, identify the legal basis and safeguards for each transfer, negotiate appropriate data processing terms and, where necessary, recommend local hosting, anonymisation or other technical measures.

06

How should a Bangladeshi bank or financial institution approach AI model procurement?

Banks should treat AI services as material outsourcing or technology arrangements and apply Bangladesh Bank's expectations on risk management, information security, outsourcing, customer data and business continuity. Board-approved AI policies, model risk management, explainability for credit decisions, fair treatment of customers and incident reporting are all relevant. Contracts should give the bank and its regulator audit and information rights and allow the bank to exit without disruption. We advise banks on procurement, contract terms and governance documents, and on how to explain the arrangement to the regulator if questions arise. Early engagement with the regulator can help.

07

Can we use AI-generated content in marketing and products without IP risk?

AI-generated content can carry risk if the model reproduces protected material, if the output imitates a recognisable person or brand, or if the vendor's terms restrict commercial use. In Bangladesh, the Copyright Act 2023 and Trademarks Act 2009 provide the main framework for third-party claims, and consumer law applies to misleading content. We recommend checking vendor IP indemnities, keeping human review of important outputs, avoiding prompts that target specific protected works or people, and keeping records of how content was created. We also review AI clauses in agency and content contracts. Records also help in disputes.

08

What should an exit plan in an AI deployment or licence agreement include?

An exit plan should cover return or deletion of the client's data, including fine-tuning data and logs, transfer of any custom models, prompts, code and configurations the client owns, continued service during transition, cooperation with a replacement provider and the cost of each step. Without these provisions in place, a client may find itself locked into a vendor whose prices, terms or model have changed. We negotiate exit terms during AI model procurement, when the client has the most leverage, and make sure they are realistic for the technology and the vendor's operations. Exit costs should be priced.

How a matter runs

From first call to resolution.

  1. 01

    Use case and risk scoping

    We understand the intended use, data involved, users affected and regulatory context, and identify the legal issues that matter most, from data rights and transfers to liability, IP and sector obligations, before contract review begins.

  2. 02

    Vendor terms review

    We review the vendor's standard terms, policies and technical documentation against the use case, identify gaps and risks, and prepare a prioritised list of changes, mitigations and questions for the vendor. Unusual or onerous terms are flagged clearly.

  3. 03

    Negotiation and documentation

    We negotiate the licence, data processing, service and development terms, prepare any supplementary agreements or internal approvals, and record residual risks so that management can make an informed decision before the AI model procurement is signed.

  4. 04

    Deployment and review

    We support go-live with internal policies, staff guidance and regulator communications where needed, and review contracts as models, laws and the client's use of AI change over the life of the arrangement. Periodic reviews keep the AI model procurement documentation current.

“Demonstrates an extraordinary command over both domestic litigation and international arbitration.”

The Legal 500 Asia Pacific, Bangladesh: Dispute resolution, client feedback

FAQ

Questions, answered.

Still unsure? Email info@trw.co with a short outline of the matter.

What is AI model procurement?
AI model procurement is the process of selecting, contracting for and onboarding an AI model or AI-powered service, whether through a licence, subscription, API access, cloud platform or custom development project. It covers commercial, technical and legal due diligence, negotiation of terms on data, IP, performance and liability, and the governance needed to use the model responsibly once it is deployed. In Bangladesh it also involves data protection and, for regulated firms, sector rules and regulator expectations.
Do we need a lawyer to review standard AI subscriptions and tools?
Not every low-risk subscription needs detailed legal review, but any AI tool that will process personal data, confidential information or regulated data, or that will influence decisions about customers or employees, should be reviewed. Small changes in settings or plan level can significantly change data rights. We can help create an internal triage process for AI model procurement, so that routine tools are approved quickly and higher-risk ones receive proper legal and technical review. Staff then know clearly which tools are approved.
What is a training-data licence and when is one needed?
A training-data licence is an agreement under which a data owner permits another party to use a dataset to train, fine-tune, test or evaluate an AI system. It should define the data, permitted uses, restrictions, rights in resulting models, warranties on consents and rights, security, deletion and liability. In practice, poorly drafted data licences are a common source of later disputes and regulatory risk, particularly where personal data or third-party content is involved in the dataset.
Can government bodies in Bangladesh buy AI services from foreign vendors?
Government bodies must follow public procurement law and rules, including competitive tendering, evaluation and approval requirements, and they may be subject to policies on data security, localisation and the use of cloud services. Foreign vendors can usually participate, often with local partners. We advise both public buyers and vendors on structuring AI model procurement so that it meets these requirements, survives scrutiny and delivers a contract that both sides can actually perform. Bid documents need careful legal review.
How do we handle AI model updates and version changes after deployment?
AI vendors frequently update or replace models, which can change outputs, performance and risk. Contracts should require notice of material changes, allow testing before changes affect production, preserve access to earlier versions for a reasonable period where needed, and give the client rights to terminate if a change makes the service unsuitable. These provisions are especially important for regulated uses, and in practice they are easiest to secure at the AI model procurement stage.
Should our AI contracts include audit and information rights?
For high-risk uses and regulated businesses, yes. Audit and information rights allow the client to verify security, data handling and compliance, and to respond to regulator questions with evidence rather than assurances. Large vendors often offer independent certifications and reports instead of direct audits. We negotiate a practical, proportionate package of rights that meets the client's regulatory obligations without being impossible for the vendor to accept, and we explain the trade-offs clearly to management.
How does AI model procurement relate to AI governance?
Contracts are only one part of good AI governance. A good AI model procurement process applies the organisation's AI policy, risk assessment and approval steps, and the contract then gives the organisation the rights it needs to monitor and control the system after launch. We advise on both, so that governance documents and contracts are consistent and support each other, and so that the board can see how risks identified in governance are handled in the contract.
How can TRW & Co help with AI contracts and deployment?
We advise buyers and vendors on AI licences, training-data agreements, development and deployment contracts, data protection and governance, and we coordinate with counsel in the UK, US, UAE, China, India and Singapore on cross-border deals. Our advice is practical and focused on the terms that matter for your use case. To discuss an AI model procurement or deployment project, please contact our Dhaka office with a short outline of the use case and vendor.

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