Service 02 / Data and Governance
Data readiness
and AI governance
Service 02 / Data and Governance
Data readiness and AI governance
AI is only as good as the data and controls behind it
AI succeeds or fails on the quality of the content it draws on, and the strength of the governance around how it is used. Konexo maps where your data resides, cleanses and structures them for AI, and stands up the policy, risk framework and EU AI Act-ready governance that makes deployment defensible, drawing on our data and cyber consulting practice.
What we do
Activities and focus areas

01
Data Landscape Mapping
Before anything can be cleansed it has to be found. We map where data lives, who owns them, what condition they are in and what constraints attach to their use.
> content and repository inventory > ownership and stewardship mapping > metadata and classification review > access, retention and privacy constraints

02
Cleanse, Structure and Enrichment
We remove what should not be there and structure what remains. Duplicated, superseded and orphaned content is retired rather than migrated, and metadata is remediated so retrieval returns the right document.
> deduplication and superseded content removal > classification and metadata remediation > taxonomy and tagging design > migration with enrichment built in

03
Know-How and Knowledge Curation
Not everything in your document estate should ground an AI answer. We identify the precedents and guidance that should, retire what should not, and put a maintenance model behind it so the corpus does not drift again.
> precedent and know-how review > currency, ownership and retirement rules > grounding content selection for AI > ongoing knowledge maintenance model

04
AI Policy and Risk Framework
We create appropriate policies and risk frameworks covering acceptable use, human oversight, and what has to happen before a use case goes live.
> AI acceptable use policy > risk classification and tiering > approval and escalation workflow > human oversight and assurance requirements

05
Regulatory Alignment
Obligations are arriving from several directions at once. We map what applies to your use cases across the EU AI Act, DORA and sector-specific rules, and translate that into requirements your delivery teams can build against.
> obligation mapping by jurisdiction and use case > high-risk classification assessment > transparency, logging and record-keeping requirements > vendor and supply chain obligations

06
Use Case Register and Assurance
Governance is only as good as the evidence behind it. We stand up a central register with a submission and approval workflow, and the monitoring and reporting cadence that lets you answer supervisory questions.
> central AI use case register > submission, review and approval workflow > monitoring, testing and reporting cadence > evidence pack for audit and supervisory review
Deliverables
What you walk away with: a defensible foundation

01
Data Landscape Map
A single view of where legal content lives, who owns it, what state it is in and what constrains its use.

02
Cleansed and Structured Corpus
A document estate with duplicates and superseded material identified and metadata remediated for retrieval.

03
Know-How Grounding Set
The curated precedent and guidance your AI tools should draw on, with owners and currency rules attached.

04
AI Policy and Risk Framework
Acceptable use, risk tiering, approval routes and human oversight requirements.

05
Regulatory Obligation Map
What the EU AI Act, DORA and sector rules require of each use case, translated into build requirements.

06
Use Case Register and Assurance Pack
A live register, approval workflow and evidence set ready for audit or supervisory review.
Examples
From our practice

Global Enterprise Client
AI Readiness and Legal Technology Strategy
Konexo delivered a strategic engagement to assess a client’s legal technology landscape and prepare the function for AI adoption. This included evaluating data quality, identifying automation opportunities, and defining an AI readiness framework aligned to business priorities. The outcome was a phased roadmap to enable safe and scalable adoption of AI across legal operations.

Banking Client
AI Governance Framework for Legal Function
Konexo designed a governance framework to support responsible AI adoption within a legal function. This included defining principles such as fairness, transparency and accountability, and creating policies for risk management, compliance and oversight of AI usage. The work enabled controlled, enterprise-wide deployment of AI capabilities.

Konexo UK, a Division of Eversheds Sutherland (International) LLP. All rights reserved.
Konexo is the name and brand under which the Konexo Entities provide legal or other services to clients around the world. Please be aware that not all services are available from all of the Konexo Entities. For more information on the Konexo Entities, the services they provide and their relationship with Eversheds Sutherland, a global provider of legal services.
The use of the name Konexo is for description purposes only and does not imply that the Konexo Entities are collectively in a single partnership or are part of a global LLP. The responsibility for the provision of services to the client is defined in the terms of engagement between the instructed firm and the client.
US ATTORNEY ADVERTISING DISCLAIMER – Prior results do not guarantee a similar outcome.

Konexo UK, a Division of Eversheds Sutherland (International) LLP. All rights reserved.
Konexo is the name and brand under which the Konexo Entities provide legal or other services to clients around the world. Please be aware that not all services are available from all of the Konexo Entities. For more information on the Konexo Entities, the services they provide and their relationship with Eversheds Sutherland, a global provider of legal services.
The use of the name Konexo is for description purposes only and does not imply that the Konexo Entities are collectively in a single partnership or are part of a global LLP. The responsibility for the provision of services to the client is defined in the terms of engagement between the instructed firm and the client.
US ATTORNEY ADVERTISING DISCLAIMER – Prior results do not guarantee a similar outcome.

