Data processing agreements are one of the highest-volume documents your legal team handles. They show up in nearly every commercial deal involving personal data. They follow predictable structures. And they carry real regulatory exposure under applicable data protection laws if any clause is wrong, missing, or insufficiently defined.
For most in-house legal teams, that still means reviewing each data processing agreement manually. The same liability caps, the same sub-processor provisions, the same requirements around security measures and breach notification. Over and over, with the same risk of something being missed.
LEGALFLY is the legal AI operating system built to handle exactly this. It applies your playbook to every data processing agreement automatically, flags every deviation from your positions, and slashes DPA review time. Your team stays in control. The platform does the work.
Note: If your team is reviewing data processing agreements manually, LEGALFLY applies your playbook to every DPA automatically, cuts review time from two hours to 15 minutes, and keeps your team focused on the risks that actually need a decision. Book a demo: https://www.legalfly.com/demo.
What LEGALFLY checks in a data processing agreement
LEGALFLY doesn't apply a generic standard to your data processing agreement reviews. It applies yours.
A DPA playbook in LEGALFLY encodes your preferred legal positions, fallback positions, non-acceptable clauses, and risk thresholds. Every clause is evaluated against those rules.
Every deviation is flagged with a reason. For data processing agreement reviews, that typically covers the following areas.
Liability caps and exclusions
Who bears financial responsibility when a data breach occurs? The data processing agreement should clearly allocate liability between the data controller and the data processor, set a reasonable cap, and define what falls outside it, such as gross negligence or regulatory fines. LEGALFLY flags terms that don't match your risk tolerance or leave these questions unanswered.
Read more: How to use AI for contract review and analysis
Data return and deletion
Once the contract ends, the DPA should specify exactly when and how personal data will be returned or securely deleted. Vague or absent language here creates ongoing exposure.
LEGALFLY checks for this clause explicitly and flags it if it is missing, incomplete, or inconsistent with your standard position.
Sub-processor obligations
If the data processor uses third-party service providers to assist with data processing, the data processing agreement should include controls: your right to object, equivalent security measures, and clear rules for approval or notification. These provisions protect your position as data controller and ensure your data protection standards flow down the supply chain. LEGALFLY reviews these clauses against your playbook and flags gaps.
Most teams using LEGALFLY cut their contract review time in half within a few weeks of onboarding. Book a short demo to see how it works for your business.
International data transfers
When personal data moves outside your jurisdiction, applicable data protection laws require appropriate safeguards. That might mean standard contractual clauses, binding corporate rules, or other transfer mechanisms approved under the general data protection regulation or local privacy laws. LEGALFLY's review is jurisdiction-aware. It identifies the jurisdictions involved and checks that the right transfer mechanisms are in place.
Technical and organizational security measures
A data processing agreement should commit the data processor to specific technical and organizational measures: encryption of personal data in transit and at rest, access controls and multi-factor authentication, breach detection procedures, audit logs, and defined breach notification timelines.
LEGALFLY checks these security measures against your internal standards and flags where the agreement falls short, uses vague language, or contradicts your policies.
Audit rights
Your data processing agreement should give you the right to audit the data processor's compliance with their data protection obligations, including access to security logs and evidence of technical security measures. LEGALFLY checks whether audit rights are present, whether they are appropriately scoped, and whether any limits on those rights are acceptable.
Data subject rights
The DPA must address how the data processor will assist with data subject requests, including access, rectification, erasure, and data portability. LEGALFLY checks that these provisions are present, clearly drafted, and consistent with your obligations as data controller under applicable data protection laws.
Read more: The LEGALFLY guide to AI for legal documents: How and where to use it
Missing terms and inconsistencies
Sometimes the issue is not what's in the data processing agreement, but what's not. A good review checks for omissions, undefined terms, and contradictions between sections. LEGALFLY checks for these systematically, every time.
How to review a data processing agreement with LEGALFLY
Here is how the review process works from start to finish.
Step 1: Import the document
Pull the data processing agreement directly from SharePoint or Google Drive, open it in Microsoft Word using the LEGALFLY Word add-in, or trigger a review directly from Teams, Outlook, or Slack. Sensitive data and confidential information is anonymised automatically before any AI processing begins. No manual redaction is required. The platform detects the contract type, jurisdiction, language, and party roles, so every review starts with the right context.
This matters particularly for DPA reviews. Data processing agreements frequently contain personal data, sensitive data, and commercially confidential information. LEGALFLY's anonymisation is built into the core architecture, not added as an optional feature. Your data is protected before it reaches the AI model, which means your data protection standards apply to the review process itself.
LEGALFLY helps your team move faster: less time buried in contracts, more time on the work that actually matters. Book a call to see it in action.
Step 2: Define your role
LEGALFLY asks whether you are acting as the data controller or the data processor. This is not a minor configuration step. The obligations on each party under applicable data protection laws are different, and the correct review depends on the correct perspective. A data controller reviewing a vendor DPA has different priorities from a data processor reviewing a customer-side agreement. Set your role at this step and the platform adjusts how it evaluates each clause accordingly.
Step 3: Select your DPA playbook
LEGALFLY detects the document type automatically and applies the standard, built-in DPA review playbook but you can also customize your review playbook based on your company policies. Every clause is assessed using the same rules, every time, with no variation based on who is running the review.
LEGALFLY includes 120+ pre-built playbooks covering 100+ document types, including data processing agreements, so your team can start reviewing immediately without building from scratch. If you have a standard DPA template or set of preferred positions already, the Playbook Builder converts those into a custom playbook in approximately two minutes.
Step 4: Run the AI review
LEGALFLY reads through the entire data processing agreement and checks each clause against your playbook. You don't guide it through sections manually. It works systematically from beginning to end, applying consistent logic to every provision, including all security measures, data protection obligations, and data subject rights clauses.
You receive:
Flags on problematic terms, ranked as major or minor based on the risk level defined in your playbook
Proposed redlines, drafted in your preferred legal tone and style
Clause-by-clause explanations that show exactly what was flagged, why it was flagged, and which playbook rule it triggered
Editable results so you can approve, modify, or discard any suggestion before the document moves forward
LEGALFLY covers 60+ jurisdictions and handles documents in 80+ languages. Whether the data processing agreement involves a GDPR transfer mechanism, provisions under the California Consumer Privacy Act, binding corporate rules for cross-border data transfers, or obligations under another framework, the platform applies the right analysis for the applicable data protection laws.
Step 5: Review flags and make decisions
Work through the flagged items. Each flag links to the relevant clause, explains the issue, and shows the proposed redraft alongside the original. Your team accepts, edits, or rejects each suggestion. Final judgment stays with you. LEGALFLY surfaces the risk and the reasoning. Your team decides what to do. This is where the time saving is most significant.
Rather than reading the full data processing agreement from scratch, your team focuses on the items that need attention, with context already provided.
Non-legal teams, such as procurement or sales, can run an initial review themselves and escalate only where LEGALFLY has flagged a risk that needs legal input.
Step 6: Export with a full audit trail
Once the review is complete, export the redlined document and a full audit trail. Every flag, every accepted change, and every decision is logged. This supports your ability to demonstrate compliance with your data protection obligations, assists with vendor management requirements, and provides a clear record if a regulator or counterparty asks why a clause was accepted or pushed back.
If your team is reviewing data processing agreements manually and wants to cut that time significantly, book a demo:https://www.legalfly.com/demo.
Reviewing data processing agreements at scale
For legal teams managing high volumes of DPAs, LEGALFLY's Multi-Review Agent handles batch processing. You can scan hundreds of data processing agreements simultaneously, checking each one against your playbook, flagging risks, and generating summaries across the full document set.
This is particularly useful for compliance audits, regulatory change projects, or vendor management reviews where a large number of existing agreements need to be assessed against updated data protection policies or data protection laws. Rather than working through each data processing agreement individually, the Multi-Review Agent processes them together and produces a consistent risk assessment across all documents.
The same playbook logic applies whether you're reviewing one DPA or hundreds. Every document receives the same standard applied consistently. No variation between reviewers. No missed clauses. No skipped security measures checks. The same data protection standards applied every time.
Building a DPA playbook in LEGALFLY
A LEGALFLY review is only as strong as the playbook behind it. A well-designed DPA playbook reflects your organisation's current data protection policies and legal standards, and encodes the specific positions that matter to your team.
If LEGALFLY’s Standard DPA playbook doesn’t work for you, you can build your own in two ways.
The first is the Playbook Builder. Upload your existing data processing agreement template or a golden contract that reflects your ideal terms. LEGALFLY identifies the clause structure, preferred positions, and patterns in your standard DPA, and generates a custom playbook in approximately two minutes. Your preferred positions on security measures, data transfer mechanisms, audit rights, data subject rights, and breach notification timelines are captured automatically.
The second option is to build from scratch using LEGALFLY's 120+ pre-built playbooks as a starting point. Select the DPA playbook that most closely matches your needs, then refine it to reflect your specific risk thresholds, fallback positions, and non-acceptable clauses.
A complete DPA playbook typically includes two layers of checks.
Read more: Everything you need to know about agentic AI for legal work
Core checks
Core checks cover the must-have provisions present in any data processing agreement: scope and purpose of data processing, audit rights and any limits on them, liability caps and exclusions, breach notification timelines and format, and termination clauses, including what happens to personal data after termination.
Secondary checks
Secondary checks address compliance and risk management in more depth: duration of data processing, categories of personal data and data subjects involved, the responsibilities of the data controller and data processor, sub-processor approval and notification rules, how international data transfers are handled, standard contractual clauses or binding corporate rules in place, handling of sensitive data transferred and special categories of personal data, and data protection impact assessments where relevant.
Playbooks are shared centrally across your team. When you update a position, every team member works from the latest version automatically. This makes it straightforward to keep your data processing agreement reviews consistent as applicable data protection laws evolve, as the EU AI Act introduces new processing obligations, or as your internal data protection policies change.
Why use LEGALFLY for data processing agreement reviews
DPAs are high-volume, follow consistent patterns, and carry real risk when reviewed inconsistently. That makes them the kind of legal work that should be handled by a purpose-built legal AI platform, not a general-purpose tool.
General-purpose AI tools like ChatGPT are not built for this work. They can summarise text, but they don't understand your fallback positions on data subject rights, can't apply your specific security measures standards consistently, offer no audit trail, and cannot be trusted with personal data or sensitive data. Every output is stateless and unaccountable.
LEGALFLY is different. It is purpose-built for enterprise in-house legal teams. It follows structured logic based on your playbook. Every suggestion is tied to a specific rule. Every decision is logged. And the platform is built on a privacy-first architecture that is ISO 27001 and SOC 2 Type II certified, with mandatory anonymisation before any AI processing begins.
Read more: Confidence, reliability and validity at LEGALFLY
LEGALFLY integrates natively with the tools your team already uses: Microsoft Word, SharePoint, Teams, Outlook, Copilot, Slack, and Google Drive. There is no separate platform to log into, no workflow disruption, and no additional configuration required to start reviewing data processing agreements.
For legal teams operating across multiple jurisdictions, LEGALFLY covers 60+ jurisdictions and handles documents in 80+ languages, which means your DPA review process applies the right data protection framework regardless of where the data controller, data processor, or data subjects involved are located.
The result is a data processing agreement review process that is faster, more consistent, and more defensible, without reducing legal oversight or increasing operational risks.
Cut DPA review time with LEGALFLY
Your legal team should not be spending two hours on a data processing agreement that follows a pattern you've seen dozens of times. LEGALFLY's legal AI operating system applies your playbook to every DPA automatically, flags every deviation, and produces a clean, redlined document with a full audit trail, in 15 minutes.
If your team wants a dependable way to reduce data processing agreement review time, improve consistency across your data protection work, and keep legal in control, LEGALFLY is the place to start.
Book a demo athttps://www.legalfly.com/demo.
