Which law firms is this service designed for?
The service is designed for commercial law firms with a repeated workflow, an accountable partner or operations owner, usable system access and enough volume to measure. We define the practice area, matter stage, jurisdictions, client restrictions and professional review before proposing a scope.
Do we need a custom AI system?
Often no. We first inspect the intake, practice-management, document-management, research, Microsoft 365 and legal-AI capabilities the firm already licenses. Configuration is preferable when it solves the problem. Integration or custom development is considered only for a valuable remaining gap.
Can AI clear conflicts or accept a new matter?
Our proposed starting scope prepares consistent party data, search terms, matching evidence and a reviewer packet. The firm’s authorised people decide whether a conflict exists, whether it can be addressed, whether the matter fits the firm and whether an engagement begins.
Can AI give legal advice or submit work to a court?
No autonomous legal advice, representation, filing or court submission is included in the starting scope. AI may help organise evidence, retrieve approved sources and prepare drafts. A qualified lawyer reviews the underlying sources, applies professional judgement and approves any client or court work.
How do you protect confidentiality and privilege?
The design covers permitted tools and matter data, supplier terms, training use, data location, access, ethical walls, client instructions, retention, logging and incident response. Architecture and contracts support the firm’s controls, but they do not automatically determine whether confidentiality or privilege is preserved in a particular jurisdiction or matter.
Can you integrate with Clio, iManage, NetDocuments or legal research products?
We assess the exact product, edition, permissions, API coverage, licensing and data-location requirements. We preserve the matter system and document-management system as authoritative records where appropriate, and do not promise identical integrations across vendors.
How should a firm measure legal AI?
Baseline the complete matter stage: preparation, retrieval, processing, lawyer review, correction, elapsed time and downstream rework. Released hours become a financial return only through a credible action such as additional profitable work, lower write-offs, avoided external cost or improved fixed-fee margin.
How much does an engagement cost?
The AI Impact Diagnostic starts at $2,500 USD and normally takes one to two weeks. Implementation sprints start at $15,000 USD. The diagnostic fee is credited against the sprint if you proceed.