ALLOOMI FOR LEGAL WORK

Move your legal work forward with anAI employee

Connect the apps and project files you already use. Alloomi surfaces decisions waiting for you and handles routine work with your approval, so you can focus on review, judgment, and what comes next.

Before you finish the inbox, your project has a shape

When a client sends a service agreement, Alloomi brings deliverables, the current version, response deadlines, and open questions into one project brief. Emails and attachments become a sourced action list with a clear scope you can confirm—without another round of digging through threads and files.

Read every commitment from your client’s position

Get a Word draft with the reasoning behind each proposed change, ready for you to keep editing. Alloomi combines client requirements, negotiation history, and validated review practices to show what to hold firm on, what is negotiable, and what you can accept—so your review time goes to the issues that matter most to the deal.

Define the question from the facts

Clarify the deal objectives, governing jurisdictions, known facts, and deliverables. Identify what needs confirmation before deciding what to research and what can be drafted from existing materials.

Find authority and verify every point

Find statutes, regulatory materials, and decisions for each issue. Check the original text, whether citations support the conclusion, and their version and currency. Resolve conflicts or gaps and flag what remains unverified.

Turn judgment into usable documents

Memos set out conclusions, authority, risks, and options. Drafts translate confirmed requirements into specific paragraphs and keep unresolved questions in context so you can keep editing and reviewing.

Build deliverables on verified authority and clear judgment

Start with what the client needs to accomplish, then clarify the facts, applicable conditions, and questions to answer. When research is required, Alloomi searches and verifies authority by issue before turning the analysis into a reviewable memo. For drafting or revision, confirmed judgments, client requirements, and templates flow into clauses, attachments, and change notes.

Turn judgment into usable documents

Memos set out conclusions, authority, risks, and options. Drafts translate confirmed requirements into specific passages and leave unresolved questions in context for further editing and review.

Find authority and verify every point

Search relevant statutes, regulatory materials, and cases by issue. Check the original text, whether each citation supports the conclusion, and its version and currency. Investigate conflicts or weak evidence and mark what remains unverified.

Define the question from the facts

Clarify the transaction goal, applicable jurisdictions, known facts, and deliverable requirements. Identify missing conditions first, then decide what needs research and what existing materials can already support.

Keep acting on what the meeting decided

Leave with a verifiable summary and the actions assigned to you—no replaying recordings or manually distributing tasks. In a service-agreement call, for example, the client may confirm that data is used only to perform the contract while exceptions to the liability cap remain open. Alloomi separates confirmed decisions from open actions and prepares revisions or replies only with your approval.

Keep the review calibrated

Recommendations adapt to the commercial purpose, each party’s position, and the conversation so far. As the client adds requirements or accepts a concession, the review updates without losing sight of the deal’s objectives.

Check whether promises can be performed

Compare deliverables, deadlines, quantities, and acceptance terms with the project’s actual conditions. Surface operational difficulties and potential consequences, along with facts that still need client confirmation.

Trace every suggestion to its basis

See how relevant clauses and project materials support each recommendation, grounded in known facts and client goals. Review assumptions, open questions, and proposed next steps item by item.

Carry this delivery into the next negotiation

When a new draft or response arrives, see which prior decisions it affects and what needs attention next. If the other party accepts the service agreement’s liability cap but adds a data-use exception, Alloomi compares it with the confirmed usage restrictions and highlights what needs renewed confirmation.

01

Receive new information

Link new client requirements, negotiation feedback, or drafts while retaining sources and versions.

02

Check what changed

Show how new exceptions differ from prior decisions, then update open questions and deadlines.

03

Propose the next step

Explain what needs attention and why, then wait for you to confirm the scope of this round.

04

Deliver and review

Prepare the next revision or reply for your review, then bring the outcome back into the project.

The project continuity loop

Retain facts, decisions, versions, deadlines, and unfinished work. When new information arrives, find the affected tasks and reduce omissions and repeated briefing.

The working-method loop

Distill experience from your edits, judgments, and outcome feedback. Validate it before using it to improve future work while retaining the boundaries of each client and project.

Projects remember. Working methods improve.

Across the task layer, the Harness execution framework, and the model layer, project facts help Alloomi understand the work at hand. Validated actions and feedback improve its working methods, preferences, and professional capabilities.

Context Graph

Organize project context by time and source

Bring emails, meetings, and files for a client or matter into a timeline-based project record. Connect people, documents, and events, and retain how facts change so later rounds can tell what remains valid.

Harness + Skills

Turn validated experience into execution methods

Record actions, tool results, authorization scopes, and state changes, then distill reusable rules into Skills and the execution framework. Diagnose issues, trace causes, and repair workflows from discovery through delivery.

Engram X + LoRA

Handle stable preferences and professional experience separately

The design uses user-level Engram X for stable facts and preferences, with LoRA adapting professional methods. Curated, high-quality work trajectories can support asynchronous post-training through SFT demonstrations and DPO preference optimization.

Evals + Versioning

Validate results before retaining a new version

Curate and attribute data before learning, use business evaluations during the process, and compare against the same benchmark afterward. Discard or roll back regressions instead of entrenching incorrect feedback.

Technical noteProject memory, Skill updates, and asynchronous model post-training are separate architectural layers. Model capabilities and data handling depend on the deployed version and authorized configuration.

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