Equip your team.
Harvey
A legal AI platform for research, document analysis and work orchestration.
Platform adoption, your standards and how work is reviewed.
Harvey gives legal teams a platform for research, analysis and agentic workflows. Alaro takes on agreed recurring legal work as an AI paralegal, using your playbook and existing systems.
Choose Harvey when you want a legal AI platform your team can use to research, analyse documents and orchestrate work. Consider Alaro when you want to delegate an agreed recurring workflow, including the follow-through, to an AI paralegal maintained by Alaro. Both can support multi-step work; compare the operating responsibility and scope you are buying.
Harvey
A legal AI platform for research, document analysis and work orchestration.
Platform adoption, your standards and how work is reviewed.
Alaro
An agreed recurring legal workflow, maintained and run for you.
The playbook, approvals and decisions that require your judgement.
Compare the work you are buying—and what your team still needs to own.
| Decision | Harvey | Alaro |
|---|---|---|
| What you buy | A legal AI platform with research, review and workflow capabilities. | An agreed recurring workflow carried out by an AI paralegal. |
| How work moves | Your team can coordinate people and agents through task templates and shared matters. | Delegate through email or messaging; Alaro gathers context and progresses the agreed steps. |
| Human control | Your team decides how to assign work and review deliverables. | Your team defines positions, approval rules and exceptions; Alaro escalates judgement calls. |
| Systems and handoffs | Evaluate the connectors, add-ins and orchestration available for your use case. | System access, approvals, signature routing and filing are scoped before work starts. |
| Ongoing operation | Confirm implementation, workflow ownership and support in your proposal. | Alaro maintains the agreed workflow with lawyer supervision. |
| Best evaluation | Test research quality, document analysis and matter collaboration. | Test completion of a recurring matter, including follow-ups and the exception path. |
From the first message to the final record. Explore how Alaro handles an agreed workflow—and the decisions that stay with you.
Start with the draft, approved positions and a deadline. Finish with the signed copy filed, approvals recorded and unresolved points assigned.
Your precedents. Your approved positions. Your approval rules. Alaro checks the work against them and asks before going outside them.
Ask in your demo: what happens when a clause falls outside our playbook?
Hand over the work in the channel you already use. Alaro gathers the context and missing information needed to get started.
Ask in your demo: who follows up when an input is missing?
Connect the systems needed for the agreed workflow, from documents and approvals to signature and filing.
Ask in your demo: which handoffs are included in our scope?
When you need specialist legal review, ask Alaro to coordinate it. Your team keeps the decisions reserved to it.
Ask in your demo: which exceptions come back to us, and what legal support is included?
See the outstanding actions and ask about unsigned or renewing documents. The useful endpoint is a complete record, with anything unresolved made clear.
Ask in your demo: can we see the next action and who owns it?
Harvey describes a platform covering agents, document analysis, research and shared workspaces. Its Legal Work Orchestration product supports reusable task templates, assignments to people or agents, notifications and task management from email. Vault supports large-scale document review.
Product references: Harvey platform, Harvey Legal Work Orchestration, Harvey Vault.
A team could use Harvey for a research-intensive matter or a large document review while delegating a defined stream of routine agreements to Alaro. Set clear ownership so both systems do not send instructions or make changes on the same matter. The useful boundary is the work each owns, rather than the name of the underlying AI model.
Ask for current proposals against the same volume and scope. Alaro prices agreed workflows by the type and amount of work, with no per-seat or per-token charges in its published pricing description. Confirm the proposal for your requirements. Read how Alaro pricing works.
Include implementation, integrations, internal review time, maintenance and any separately scoped legal support. Define what counts as completed work, what happens if volume changes and who handles exceptions.
Use Alaro’s Trust Centre and each provider’s current security documentation during procurement. Confirm the arrangements for your organisation and jurisdiction; the presence of an AI agent does not itself settle those questions.
Yes, for teams evaluating how to handle recurring legal work. Harvey is a legal AI platform; Alaro offers an AI paralegal for agreed workflows. They overlap in tasks, but the service scope and operating model differ.
No. Harvey also offers document analysis, research, agents and Legal Work Orchestration. Evaluate those current capabilities against your actual workflow.
Yes, with distinct responsibilities. For example, your team could use Harvey for research and document analysis while Alaro handles an agreed recurring contract workflow.
The better fit depends on the bottleneck. Test a platform if your team needs research and analysis capacity; test a managed workflow if the burden is repeated follow-ups, approvals and completion.
No. Your team sets the playbook and makes judgement calls. Alaro progresses the agreed routine work and escalates exceptions.
For an example of delegated legal work in practice, read the Dominus case study. To evaluate your own workflow, book a demo.
How Dominus went from three contracts to 27 people across seven departments.
Read the Dominus story