Jylo is an AI-native enterprise platform designed to operationalize legal logic, scale knowledge management, and support secure AI adoption across organizations. Jylo enables lawyers and other professionals to translate legal judgment, experience, and mental frameworks into structured rules that AI systems can apply. The platform facilitates the transformation of unstructured data into structured formats, improving data exploration, organization, and interpretation.
Key Features & Functions:
Agentic Assistant
Provides access to a wide range of document production tools.
Collaborative Matter-Centric AI Workspaces
Documents and files are saved into matter-based workspaces enabling collaboration as a team with the AI to review, draft, and assist the team.
User-Friendly UI
Built-in processes for review allocation and validation, document viewing.
AI Automation at Scale
For automated reviews of unlimited amounts of documents, emails, and other files. Depending on the use case, tabular review or playbook functionality can be applied.
Human-in-the-Loop Approvals
Maintain complete control with human-in-the-loop approvals at each step, ensuring compliance and accuracy.
Task Assignment
As work progresses through reviewing a document or thousands of documents or files, tasks can be set for team members or specialists in the firm to approve.
Assemblies
Document assembly capability that lets users embed variables into existing precedents. Once AI output has been approved by the human in the loop, a Word document with the verified text can be created.
Jylo addresses a wide range of legal and operational use cases:
Document Review Automation
Automates the initial reading-in period of documents. A red flag list can be written to democratise a constrained workflow; the requestor can complete the review workflow and the output is presented to the team for sign-off.
Due Diligence
Upload an unlimited number of documents into a Jylo workspace to perform scaled reviews. Analyse, extract, or identify key clauses and create a due diligence report.
Early Case Assessment
Review datasets for possible causes of action or to check and flag terms, risks, and compliance. Filter documents, review, approve, set tasks, and re-assemble into a due diligence report.
Dataset Structuring and Classification
Structure, extract, and classify datasets across document types including lease agreements, commercial contracts, private equity term sheets, and chain of title.
Drafting
AI-assisted drafting based on precedents, legislation, government guidelines, policies, and source documents, available via a Word add-in.
Playbooks
Jylo provides a suite of pre-configured playbooks designed to help each practice group identify applicable use cases. Playbooks can be customised by updating prompts to reflect the legal judgment and expertise of the firm, team, or client's preferred position, and can be shared across the team, firm, or with clients.
Model-Agnostic Architecture
Allows users to select and integrate a range of AI models based on task-specific needs. Supported models span the Microsoft Azure and AWS hosted AI ecosystems, including OpenAI models, Mistral, and Anthropic Claude models.
By structuring and protecting institutional knowledge, Jylo enables organizations to scale innovation, enhance collaboration, and maintain operational consistency across legal and broader business functions.
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