Our services
What we actually do for the legal sector, from strategy to building solutions. Each engagement is framed with you: scope, deliverables, timeline and engagement lead.
AI & Data strategy
You want to know where to invest, in what order and with which resources. We start from your workflows and real needs to build a plan you can actually deliver.
Examples of what we do
- Define your AI strategy and align it with leadership priorities
- Analyse workflows, volumes and the teams' pain points
- Identify and prioritise use cases by value and risk
- Decide on investments and choose between buying, integrating and building
- Build a roadmap with owners, milestones and metrics
- Structure data projects where the use cases require it: sources, quality, access
Deployment & integration
You have identified a need or shortlisted tools. We organise the selection, the proof and the rollout through to actual use.
Examples of what we do
- Compare market solutions on your documents and real cases
- Run tests, proofs of concept and pilots against criteria agreed in advance
- Check security, data flows, contracts and integration with your systems
- Lead integration with existing tools and workflows
- Manage scaling and coordinate IT, vendors and business teams
- Measure the value produced: time, quality, adoption, total cost
Custom development
When the market has no fitting answer, we design and build the solution: from automating a process to an AI assistant or agent integrated into your environment.
Examples of what we do
- Frame the need, the sources, the data and the security requirements
- Build automations and business tools
- Design AI assistants and agents tailored to your matters and documents
- Build generative AI solutions with human oversight and continuous evaluation
- Deliver prototypes to test an idea quickly on real cases
- Integrate the solution with your tools: email, document management, legal databases, APIs
Training & adoption
A deployed tool is not a used tool. We support your teams until practices are embedded, with formats adapted to each role.
Examples of what we do
- Brief leadership and governance bodies
- Train teams by role, on their own documents and workflows
- Design tailored programmes: in-house counsel, lawyers, associates, support functions
- Identify use cases with the teams and document them as workflows
- Support a champion network and local support
- Shift internal culture and measure adoption over time
AI governance
Useful governance enables as much as it controls. We work on both dimensions: the operational and technical organisation of AI use, and its legal framework.
Operational and technical dimension
- Internal policies and usage rules
- Tool selection and qualification
- Usage controls, human validation and incident management
- Security, documentation and system traceability
- Validation processes and accountability
Legal dimension, with the team's lawyers
- EU AI Act: system classification and obligations
- GDPR and data protection
- Professional obligations and professional secrecy
- Ethics rules applicable to the legal professions
- Liability and governance organisation
Public affairs
In a regulated sector, an AI project also plays out beyond the organisation: authorities, bar associations, professional bodies, partners. We connect technological change with institutional understanding.
Examples of what we do
- Understand the institutional environment and map the players
- Organise relations with professional bodies and authorities
- Run regulatory monitoring and turn it into operational decisions
- Build a positioning strategy and coalitions
- Prepare policy positions and contributions
- Open access to decision-makers and influencers