Choosing the process
Together we pick the process that repeats most often, has a clear definition of "done" and has its data in your systems. We define what the AI does on its own and what it does only after a person approves.
Contracts are reviewed by hand in Word, case material is hunted down across Clio and SharePoint folders, and hours are entered from memory in the evening. AI flags the risks, finds the ruling with a link to it and prepares a draft, and the lawyer decides. Models run in a private cloud in Lithuania (EU), with no training on your data.
Built for ISO 27001NIS2 DORA
A day at a law firm or an in-house legal department: a client emails a supply contract in Word to Outlook and wants comments by the evening. The lawyer reads it from the top, compares it with the firm's template in SharePoint and checks from memory whether a limitation of liability, a penalty clause or a jurisdiction clause was missed. When preparing a response to a claim, someone has to find out whether the firm has handled a similar matter: Clio, SharePoint folders and Westlaw get opened, and half a day goes on finding that one ruling. A new enquiry from the website waits until someone checks for a conflict of interest, and at the end of the month a partner reconstructs from the Outlook calendar and from memory how many hours went to each matter, so that accounting can issue the invoice in SAP Business One.
AI does not give legal opinions or decide for the lawyer here. It takes over the routine. The assistant flags risky contract clauses in Word against the firm's checklist. Search answers from the firm's matters in Clio and SharePoint, from Westlaw and from the official legislation register, always with a link to the document, article or ruling. A draft court document is built from the matter facts in Clio and the firm's template, and the lawyer reviews it, signs it with DocuSign and files it through the court e-filing system. An intake agent collects the facts and checks for conflicts of interest in Clio. Draft timesheets and invoices go to SAP Business One or Sage for partner approval. To protect legal professional privilege, models run in MDP CLOUD's private GPU cloud in Lithuania (EU) or as Claude through Amazon Bedrock in an EU region, with no training on your data, with action logs and a GDPR procedure. We integrate with Clio, Westlaw and SAP Business One through an API, a file export or an email flow, depending on your version. The first step is always the same: who gets access to which matters, where the data is stored and what the assistant is allowed to do without a lawyer.
The 5 solutions we implement most often in this industry. Each one starts with a single process, has a human approval step and is measured.
The assistant reads the contract the client sent in Word, compares it with the firm's templates and checklist in SharePoint and flags risky clauses: limitation of liability, penalties, termination and jurisdiction. For each comment it suggests wording the firm has used in practice. The lawyer decides what to accept, and the client's contract never leaves the firm's environment.
Built with: Claude through Amazon Bedrock in an EU region + Word and SharePoint
The assistant answers a lawyer's question from the firm's matter files in Clio and SharePoint, from case law in Westlaw and from legislation in the official legislation register. Every answer links to a specific document, article or ruling. The assistant does not invent citations that are not in the source: if it cannot find one, it says so. Access is limited to the matters the lawyer can see in Clio.
Built with: Private AI in MDP CLOUD's GPU cloud + Clio and Westlaw
From the matter facts and documents in Clio and the firm's Word templates, the assistant prepares a draft complaint, response or motion with a statement of facts, claims and links to the Westlaw rulings it has checked itself. The lawyer reviews and edits it in Word, signs it with DocuSign and files it through the court e-filing system. The draft does not leave the firm without the lawyer.
Built with: Claude through Bedrock in an EU region + Clio data + Word templates
The agent collects the facts of an enquiry from the website form and Outlook emails: the parties, the substance of the dispute, deadlines and attached documents. It checks for a conflict of interest against the client and opposing-party list in Clio, creates an unconfirmed matter record in Clio and passes it to the responsible lawyer in Teams. The agent gives the client no legal advice. It only confirms that the enquiry was received.
Built with: Copilot Studio agent + Outlook, Teams + Clio API
From Outlook calendar meetings, sent emails, Teams calls and Clio matter entries, the assistant drafts a weekly timesheet for each lawyer, with the matter and an activity description. At the end of the month it prepares the invoice narrative for the client and an import file for SAP Business One or Sage. The partner approves the hours and the invoice instead of reconstructing them from memory.
Built with: Power Automate + Outlook + Clio + SAP Business One import
From the first conversation to a working solution, with measurement and ongoing support.
Together we pick the process that repeats most often, has a clear definition of "done" and has its data in your systems. We define what the AI does on its own and what it does only after a person approves.
We put access to files and systems in order, give the AI its own identity with the least privileges it needs, turn on an action log and choose where the model runs: your Microsoft 365 tenant, Amazon Bedrock in an EU region or our GPU cloud in Lithuania (EU).
We build the solution with Copilot, Claude or ChatGPT, whichever fits the task, connect it to your systems and test it on historical documents and enquiries until accuracy reaches the agreed threshold.
We launch with a person in the loop, review the logs and exceptions and adjust the rules. Once the first process runs reliably, we move on to the next one on the list.
These solutions are a starting point for a conversation, not a complete list. Tell us which processes repeat in your company, and in one conversation we will tell you what is worth handing to AI and what is not.
In implementations for this industry, models run in MDP CLOUD's private GPU cloud in Lithuania (EU) or as Claude through Amazon Bedrock in an EU region. Your matter files are not used to train models, access is limited to the matters the lawyer can see in Clio, and every request and answer is written to a log. We define the procedure together with you, in line with GDPR and your bar association's requirements.
Search answers only from the sources it is connected to: the firm's matters in Clio and SharePoint, Westlaw and the official legislation register. Every statement links to a document, article or ruling, and if there is no source, the assistant says so instead of guessing. The legal conclusion is always formulated by the lawyer.
Yes, but the integration method depends on your version: we connect to Clio through an API or an export, to Westlaw through the firm's account, and to SAP Business One or Sage through an import file or an API. If your firm uses a different practice management system, we integrate it on the same principle. We have no official partnerships with these systems. We work with their public interfaces and, before proposing a solution, check what your version allows.
Applications with financial statements and an Experian query, asset documents from the vehicle registry, insurance policies, contracts signed via…
Orders arrive as e-mails and PDFs, and someone keys them into Business Central or SAP Business One by hand.
AI where data cannot leave the organisation: open models in our GPU cloud in Lithuania (EU), Claude through Amazon Bedrock in an EU region, or a…
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