The tools remain in place.
Copilots, legal AI products, models and agents continue to support research, drafting, review and workflows.
Hebed helps legal teams track AI usage, cost and time across matters, teams and AI environments.
Across supported AI environments, Hebed brings together AI traffic, usage, cost and work context, with pseudonymisation where sensitive information requires it.
Copilots, legal AI products, models and agents continue to support research, drafting, review and workflows.
Hebed adds AI traffic, usage, cost and work context without replacing the tools themselves.
Draft a note for Ms. Keller at Rue du Pont 5 regarding Matter 24-018.
Draft a note for [CLIENT] at [ADDRESS] regarding [MATTER].
Developed through applied research with HEG Genève, with support from an Innosuisse Innovation Cheque.
A single operating view of usage, cost, task time and attribution across matters, teams and AI environments.
Link AI activity to the matters, teams and workflows it relates to.
Relate AI spend and task time to the matters and workflows they support.
Track licence utilisation, active usage and activity that still needs attribution.
Pseudonymise sensitive details in prompts or files when required before approved external AI use.
Legal AI Operations connects AI activity, cost and work context across the firm.
Book a demo ↗Hebed works across supported AI environments without tying legal teams to a single model or replacing the tools already in use.
Install HEBED app
Existing AI workflows can remain in place.
AI traffic, usage, cost and work context come together in one operating view.
Supported AI activity is brought into the same operating context.
Prompt pseudonymisation, seminars and workshops connect AI risk, safeguards and critical judgement to real legal work.
Explore Academy ↗The team, advisor and applied research behind HEBED and Legal AI Operations.
About Hebed ↗Hebed brings AI usage, cost, time and work context into one operating view.
Start with your current AI tools and use cases.
Academy uses real examples, prompt pseudonymisation and teaching sessions to make AI risk, safeguards and critical judgement concrete for legal teams.
Awaiting prompt review.
Matter context detected.
Name and address replaced before transmission.
Matter reference replaced before transmission.
An interactive prompt flow shows sensitive-data detection, pseudonymisation and the checks applied before transmission.
Sessions explain how LLMs and AI agents work, where their limitations appear and why human judgement remains essential.
Workshops, seminars and public engagement connect responsible AI principles with the decisions teams face in real work.
A teaching session at HEG Genève followed by a seminar discussion on AI agents.
The seminar used a created AI agent to show its practical value inside an organisation, including speed, support and workflow continuity, while also making the risks visible. The discussion covered access to information, delegated actions, errors that can propagate across steps, human oversight and the safeguards required when systems move beyond a single prompt and response.
Watch the seminar ↗At WSIS Forum 2026 in Geneva, HEBED presented the product and discussed how AI visibility, responsible adoption and operational safeguards translate into practical questions.
The discussion focused on practical AI adoption: what organisations can observe, where safeguards are needed and how controls can remain clear as tools and models evolve.
Discuss a seminar, a Shadow AI workshop or a prompt-pseudonymisation session around the questions your team is already facing.
Hebed links AI activity to matters, teams and AI environments, bringing usage, cost and work context into a single operating view.
During his Master’s research at HES·SO, Heben Tekleab examined Shadow AI and how external LLM use can grow before an organisation has a clear view of that activity.
As AI reshapes legal workflows, usage, cost and sensitive information increasingly span multiple tools and processes. Visibility across that activity has not kept pace.
Pseudonymisation, AI traffic, usage and cost, and work context became the four dimensions of Legal AI Operations.
The work is developed in Geneva through applied research with HEG Genève, with support from an Innosuisse Innovation Cheque.
Hebed operates across the AI tools legal teams already use, connecting pseudonymisation, AI traffic, usage, cost and work context.
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