Agent Skills Are Now Available in DeepJudge

From Prompts to Practice: Agent Skills in DeepJudge

In legal work, precedent is how best practice scales.

Legal teams don’t draft from a blank page. They reuse structures, language, and judgment that reflect how the firm works best.

Until now, AI hasn’t worked that way. Each interaction depended on how an individual framed the question in a prompt.

Today, we’re introducing Agent Skills in DeepJudge, bringing the concept of precedent to AI by packaging best practices for legal work into reusable workflows applied consistently across matters.

What are Agent Skills?

Agent Skills originated as an open standard and are now supported across a growing ecosystem of AI tools and models. They provide a structured way to package how work should be done, so AI can apply a defined approach consistently, rather than starting from scratch each time. 

In contrast to prompts or prompt libraries, you can think of Agent Skills as precedents for AI: portable, ready-to-use "practice modules" that combine structured instructions, validated templates, supporting files or scripts, and firm-specific knowledge. Skills encode the know-how AI requires to complete a task the way your firm expects.

A skill might specify:

• Required output structure
  
• Formatting and presentation standards
  
• Step-by-step execution logic
  
• Reference templates or supporting materials

Instead of relying on each individual to remember how to prompt, skills encode a firm’s preferred approach once, and apply it consistently whenever the task arises. By bundling the firm’s expertise into a reusable asset, firms can build complex AI workflows where an agent automatically calls upon the right skill at the right time. This results in higher reliability, defensible processes, and more consistency in client deliverables and advice.

Why this matters for law firms

In theory, lawyers could engineer perfect prompts for every task.

In practice:

• There isn’t time
• Prompt quality varies
• Outputs differ across teams
• Institutional standards are hard to enforce

Because Agent Skills do not rely on individual prompting discipline, firms can:

• Codify best practices once
• Share them firm-wide
• Ensure structured, repeatable outputs
• Maintain consistency across matters and offices

DeepJudge-ifying Agent Skills

Most Agent Skills in the broader ecosystem assume one thing: 

Upload your documents first.

That assumption doesn’t apply in DeepJudge because DeepJudge is already connected to your firm’s systems. Your documents are already indexed and your prior work is already searchable, so there is no need for uploads, manual curation, or parallel workspaces. Agent Skills work directly on top of your firm’s unified, permission-aware search layer.

In practice, this means a lawyer can start in the DeepJudge chat when a relevant Agent Skill exists. For example, when asked for a summary of a prior M&A deal, DeepJudge automatically recognizes the task type and invokes the corresponding skill, retrieves the relevant documents, and executes the workflow.

Behind the scenes, legal teams can also create and adapt skills directly within DeepJudge. In the case of an M&A summary, a skill might define the structure of the output, the level of detail required, and the specific elements to extract, then instruct DeepJudge to retrieve the relevant information from the firm’s search index.

The result is a workflow that is simple for legal teams to use but is grounded in trusted firm context and standards: the right documents are retrieved, the task is executed according to a defined approach, and the output is delivered in a consistent, repeatable format without additional prompting.

Retrieval provides the foundation, Agent Skills provide the workflow, and models remain interchangeable.

Because DeepJudge supports all major LLM providers, Agent Skills are model-agnostic and future-proof, meaning your firm’s data remains secure and compliant.

Turn institutional knowledge into consistent AI workflows

Agent Skills in DeepJudge enable firms to:

• Turn best practices into structured AI workflows
• Scale standards across teams
• Reduce output variability
• Move from “prompting” to operationalized AI

AI becomes valuable when it provides consistent, repeatable results. With Agent Skills in DeepJudge, firms can turn institutional knowledge into reusable workflows applied consistently across teams, without relying on individual prompting discipline.

 Lawyers shouldn't be expected to ask better questions. Legal teams can now embed best practices directly into AI workflows, ensuring that advice delivered to clients is dependable and reflects the firm’s collective expertise.

👉 See how Agent Skills can turn your firm’s data into firm-grade AI workflows.