Agents learn your language
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
Knowledge Engine for Legal
Connect contracts, playbooks, approvals, customer context, and obligations into one reviewable legal workflow.
Commercial agreement review
I connected contract versions, playbooks, deal context, security reviews, approvals, and prior positions. I’m preparing the risk brief now.
58%
lower token cost
when using Knowledge Engine
2x
more tasks
vs. frontier models
32%
more accurate with open source
vs frontier model
19 of 34
tacit-knowledge facts captured
vs. RAG’s 1
Source: “Knowledge Engine Platform for Long-Horizon Professional Agents” and “Context Graphs for Recovering Tacit Organizational Knowledge”, Accrete AI, August 2026.
Legal teams assess language in the context of the customer, commercial terms, security commitments, prior positions, approval matrices, and future obligations. When those records are scattered, cycle time grows and risk becomes harder to see.
Legal cognitive fabric
Agents learn the language of the work, create the data flows that connect its systems, and build a living context graph for each request.
They learn your teams’ terms, shorthand, and ways of working, then create a shared understanding of what everything means.
They create the data flows that bring the right information together for each task, without manual setup for every source.
They connect people, records, decisions, and outcomes while preserving a clear path back to the source.
Connected systems
Explore 1,000+ integrations →Workflows
01
Gather the request, agreement, counterparty, deal context, policy requirements, and approval path; then classify the work and prepare the legal review queue.
02
Compare language with clause standards and prior approved positions, surface material deviations, and prepare proposed edits and questions for counsel.
03
Connect executed agreements to owners, renewals, commitments, privacy and security terms, spend, and reporting so obligations do not disappear after signature.
One end-to-end example
01
Gather the latest contract, version history, clause playbook, commercial context, security and privacy review, approvals, and relevant precedent.
02
Identify material deviations, compare approved positions, trace related commitments, and separate routine language from issues requiring counsel.
03
Create the risk brief, clause comparison, proposed redlines, open questions, owner list, and negotiation summary.
04
Keep legal advice, redline acceptance, external communication, signature, and obligation changes under authorized counsel review.
What the team gets
Matter context, material terms, policy requirements, risk classification, approvals, and next actions.
Source-linked deviations, approved precedent, proposed language, open questions, and counsel decisions.
Executed commitments, owners, dates, renewals, exceptions, and evidence available for review.
Context that compounds
Teams should not have to pause the work to document every lesson. The decisions they review, correct, approve, and reuse can make the next workflow better informed.

01
Accepted language, rejected positions, approved exceptions, negotiation outcomes, and realized obligations reveal how risk is handled.
02
Relate those decisions to clauses, playbooks, counterparties, deals, approvals, executed terms, and prior matters.
03
Counsel can begin with the organization’s approved history while still applying legal judgment to the current matter.
Source records remain the authority. The Knowledge Engine keeps extracted evidence and inferred relationships distinguishable so people can inspect what the organization recorded and what the system derived.
The Accrete product
The Knowledge Engine organizes contract context, review work, and obligations while keeping legal judgment, negotiation positions, signatures, and consequential actions with authorized people.
Agent Lab and Custom Skills
Assemble matter context, compare approved playbooks, and prepare the review without making the legal decision.
Preserve approved standards, escalation rules, evidence requirements, and the team’s preferred output format.
Start with one workflow
Bring the workflow, its information sources, its approval requirements, and the result your team needs. We’ll map a focused first deployment and the path to reuse.
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