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Updated July 24, 2026
In-house legal teams spend much of their week extracting, comparing, researching, and reformatting information before legal judgment begins. These are the seven AI workflows that compress that preparation while keeping advice and approval with counsel.

All 7 run on whichever AI agent you already use - ClaudeClaude, ChatGPTChatGPT, GeminiGemini, or Microsoft CopilotMicrosoft Copilot - connected to the tools listed with each use case.


Summarize contract terms

Best first workflow - turn long agreements into a source-linked term sheet
3 hr/wkest. time saved
How it’s done today

You read the agreement and exhibits, locate defined terms, obligations, dates, fees, liability, termination, and renewal, then build a summary while cross-checking amendments.

How AI helps

Your agent extracts the approved fields, links each answer to the exact clause and page, reconciles amendments, and marks absent or conflicting terms instead of guessing.

DocuSignAgreement uploadeddocument set is complete
Your AI agent

Builds a structured term sheet from the controlling documents and preserves clause, page, definition, and amendment references.

Term summary Term summary
Clause links Clause links
Open issues Open issues
How to set it up

Required

DocuSignIroncladCLM

Reads the agreement record, approved extraction fields, status, parties, and amendments.

Writes draft metadata and summary for legal review.

Google DriveSharePointFiles

Reads the executed agreement, exhibits, schedules, amendments, and OCR text.

Optional

Google DocsNotionDocs

Writes a client- or business-facing summary using the approved template.

Upload the complete document set and extraction template. Confirm that scans are readable and amendments are included.

Paste this into your agent or automation tool. Have the field schema, summary template, one lawyer-approved summary, and three complete agreement sets covering clean text, controlling amendments, and a genuinely missing term ready.

Setup prompt

What good looks like

Across the three tests, every populated field should trace to controlling text, the amendment should override the right language, and the absent term should remain Not found. Correct any bad citation, wrong document order, or inferred value and rerun the same agreements.

Choose your trigger

Run it when the contract record is marked complete and includes the agreement, schedules, exhibits, and known amendments. Route incomplete sets and material OCR uncertainty to legal before creating the summary.

What runs without you

The workflow can populate draft contract metadata and prepare the cited summary. Legal reviews the controlling terms and approves the record before anyone relies on it. Sample summaries monthly and reopen the workflow whenever a later amendment or missing schedule is added.

Pairs well with review contract deviations and review due diligence - one extraction pass feeds the term sheet, the redline, and the diligence table.

Review contract deviations

Best for finding where a draft departs from the approved playbook
3 hr/wkest. time saved
How it’s done today

Counsel compares each clause with the playbook and precedent, decides whether the variation is acceptable, creates redlines, and records business or approval questions.

How AI helps

Your agent maps clauses to the current playbook, identifies material deviations and missing language, assigns the defined position, and prepares a cited issue list and draft redlines.

DocuSignCounterparty draft receivedplaybook and context selected
Your AI agent

Compares the draft with the approved clause positions, shows exact deviations and fallback language, and routes exceptions by the playbook.

Deviation report Deviation report
Draft redline Draft redline
Approval queue Approval queue
How to set it up

Required

DocuSignIroncladCLM

Reads the draft, deal context, approved playbook, clause positions, and approval matrix.

Writes issues, status, and draft redline for review.

Recommended

Google DocsNotionDocs

Reads approved fallback language and precedents.

Writes a marked-up review copy.

Optional

SalesforceHubSpotCRM

Reads commercial context needed by the approval matrix.

Upload the draft, playbook, and deal-context sheet. The workflow should use the selected playbook version and never a generic internet clause.

Paste this into your agent or automation tool. Have the current playbook, approved fallback language, one reviewed issue table, and three agreements covering company paper, minor deviations, and material exceptions ready.

Setup prompt

What good looks like

The company paper should show no false deviations, minor changes should use approved fallback language, and material exceptions should reach the right owner with exact citations. Correct any wrong playbook, missed clause, or invented fallback and rerun the same agreements.

Choose your trigger

Run it when a counterparty draft arrives with complete agreement type, entity, region, and deal context. Keep bespoke agreements without a controlling playbook outside the automated comparison.

What runs without you

The workflow can prepare the issue table, fallback draft, and redline, but a lawyer reviews every result permanently and owns the response. Check playbook versions monthly and rerun open matters whenever an approved clause position changes.

Pairs well with summarize contract terms - the term sheet says what the draft does; the playbook review says what to do about it.

Best for producing a first draft from approved precedent and matter facts
2.5 hr/wkest. time saved
How it’s done today

You select precedent, confirm matter facts and jurisdiction, copy clauses, reconcile defined terms and dates, and review the entire draft for internal consistency.

How AI helps

Your agent uses only approved precedent, maps verified matter facts into the template, keeps unresolved choices visible, and runs defined-term, cross-reference, and date checks.

ClioDraft requestedmatter facts and precedent approved
Your AI agent

Selects the approved form, inserts sourced facts, applies recorded drafting choices, and returns an internally checked review draft.

Document draft Document draft
Drafting issues Drafting issues
How to set it up

Required

Google DocsNotionDocs

Reads approved forms, clauses, drafting guidance, and style.

Writes a clearly labeled review draft.

ClioLegal TrackerMatter management

Reads verified parties, facts, jurisdiction, dates, owner, and matter restrictions.

Writes the draft link and unresolved issue list.

Optional

Google DriveSharePointFiles

Reads supporting source documents and exhibits.

Upload the approved precedent and a verified fact sheet. Never ask the agent to choose a form from uncontrolled public examples.

Paste this into your agent or automation tool. Have the approved precedent set, fact-sheet template, one lawyer-approved draft, and three prior matters covering complete facts, missing facts, and an amended form ready.

Setup prompt

What good looks like

The three drafts should use the correct precedent, contain only verified facts and approved language, and expose missing facts or conflicts. Correct any invented fact, changed boilerplate, broken definition, or missed cross-reference and rerun the same matters.

Choose your trigger

Run it from a matter task with a selected precedent, lawyer owner, document type, jurisdiction, and fact sheet. Keep bespoke and filing-critical documents outside the workflow unless they have their own approved process.

What runs without you

The workflow can create the review draft and issue list, but a lawyer reviews every document and resolves every drafting choice. It never files, sends, or labels the document final, and it should stop if the approved precedent changes while a draft is in progress.

Pairs well with research legal questions - open drafting questions route straight into the research memo.

Best for a defined jurisdictional question that needs a cited first pass
2 hr/wkest. time saved
How it’s done today

You frame the issue, search statutes, regulations, cases, and secondary sources, verify authority and current status, and synthesize the result into a memo.

How AI helps

Your agent builds a search plan, gathers primary authority first, verifies dates and treatment, and drafts a memo that separates authority, analysis, uncertainty, and open factual questions.

WestlawQuestion scopedjurisdiction and as-of date set
Your AI agent

Searches authoritative sources, verifies citations and status, compares conflicting authority, and creates a source-linked research memo.

Research memo Research memo
Authority table Authority table
Open facts Open facts
How to set it up

Required

WestlawLexisNexisLegal research

Reads primary and secondary authority, treatment, jurisdiction, and current status.

Google DocsNotionDocs

Reads the question, factual assumptions, memo template, and internal precedent.

Writes a research draft with links and quotations.

Optional

ClioLegal TrackerMatter management

Reads matter facts, parties, deadlines, and prior research.

Use official public sources and provide the question, jurisdiction, date, and factual assumptions. Counsel should independently verify every authority.

Paste this into your agent or automation tool. Have a precise research template, authority and citation rules, one counsel-approved memo, and three past questions covering direct authority, conflicting authority, and sparse authority ready.

Setup prompt

What good looks like

Every material proposition in the three tests should have verified authority and status, quotations should be exact, and conflicts or sparse authority should remain visible. Remove any unsupported proposition or stale treatment and rerun the same questions.

Choose your trigger

Run it manually from an approved research request with a precise issue, facts, jurisdiction, as-of date, and counsel owner. An incomplete request should return focused intake questions rather than a generic memo.

What runs without you

The workflow can assemble the source table and first memo draft, but counsel reviews every proposition, analysis, and conclusion. Recheck authority immediately before the work is used, especially when the matter remains open or a source has changed status.

Pairs well with draft legal documents and monitor regulatory changes - research answers today’s question and monitoring catches when the answer changes.

Review due diligence

Best for finding relevant provisions and exceptions across a defined document set
2 hr/wkest. time saved
How it’s done today

A team inventories files, removes duplicates, assigns documents, extracts defined issues and provisions, cross-checks amendments, and builds a diligence table with citations.

How AI helps

Your agent inventories the bounded data room, maps each file to the request list, extracts approved fields and red flags with citations, and creates a missing-document and review queue.

BoxData-room cutoffscope and request list locked
Your AI agent

Classifies the document set, tracks completeness, extracts workstream-specific issues, and preserves document and page citations.

Diligence table Diligence table
Issue queue Issue queue
Missing list Missing list
How to set it up

Required

BoxDropboxData room

Reads the scoped files, folder structure, metadata, versions, and request list.

Recommended

DocuSignIroncladCLM

Reads contract types, extraction fields, playbooks, and linked amendments.

Writes draft contract metadata and issues.

Optional

Google DocsNotionDocs

Reads the workstream checklist and reporting template.

Writes the diligence table and summary.

Use an exported, numbered document set with a manifest. Stable document IDs are essential for citations and incremental updates.

Paste this into your agent or automation tool. Have the locked request list, workstream and materiality rules, one reviewed diligence table, and three test folders containing duplicates, amendments, and a missing or material document ready.

Setup prompt

What good looks like

The three tests should reconcile their manifest counts, consolidate duplicates correctly, apply amendments in order, and keep missing or material items visible with exact citations. Correct any version, scope, or materiality error and rerun the same folders.

Choose your trigger

Run it at the agreed data-room cutoff and again when newly numbered files arrive. Keep out-of-scope folders excluded, preserve the file manifest, and surface access failures instead of treating them as missing documents.

What runs without you

The workflow can update the manifest, populate source-linked fields, and route potential issues. Lawyers review every issue conclusion and materiality call. During active diligence, reconcile the manifest daily and alert the workstream owner whenever a file is replaced or access is lost.

Pairs well with summarize contract terms - the same clause extraction runs across the whole document set.

Best for turning incomplete requests into a routed, usable matter intake
1.5 hr/wkest. time saved
How it’s done today

Legal ops reads email or forms, identifies request type and urgency, checks conflicts and missing facts, creates a matter, and asks the requester for standard information.

How AI helps

Your agent classifies the request into the approved taxonomy, extracts key facts and deadlines, asks only for missing required fields, and routes it with an auditable priority reason.

OutlookRequest receivedemail or intake form submitted
Your AI agent

Structures the request, checks completeness and explicit urgency rules, and creates the right intake or private follow-up draft.

Matter intake Matter intake
Requester follow-up Requester follow-up
Assigned queue Assigned queue
How to set it up

Required

ClioLegal TrackerMatter management

Reads taxonomy, required fields, teams, priority and conflict rules.

Writes a staged intake, classification, and route.

Recommended

GmailOutlookEmail

Reads the request and attachments.

Writes a draft request for missing information.

Optional

Google FormsTypeformForms

Reads structured intake responses and requester confirmations.

Use a structured intake form and have the agent prepare the matter record and missing-information email for review.

Paste this into your agent or automation tool. Have the intake taxonomy, priority and conflict rules, one well-prepared matter, and three real requests covering a routine request, an urgent or conflict-sensitive case, and an incomplete request ready.

Setup prompt

What good looks like

The routine request should become a complete matter, the urgent or conflict case should reach the correct lawyer immediately, and the incomplete request should receive a focused follow-up. Correct any missing deadline, wrong queue, or overcollection of sensitive data and rerun the same requests.

Choose your trigger

Run it only on the designated legal intake mailbox or form. Exclude spam, quarantine attachments that fail security checks, and leave arbitrary employee email outside the matter-creation workflow.

What runs without you

The workflow can create low-risk matter records, request missing fields, and notify the assigned queue. Legal reviews urgency, conflicts, holds, and every ambiguous request. Audit routing and missed deadlines monthly, and update the rules whenever ownership or intake categories change.

Pairs well with draft legal documents - a clean intake arrives with the facts the draft needs.

Monitor regulatory changes

Best for turning new official publications into a focused legal watchlist
1.5 hr/wkest. time saved
How it’s done today

Counsel scans regulator sites, registers, alerts, and updates, removes duplicates, checks effective dates and scope, and circulates a summary of what may matter.

How AI helps

Your agent monitors named official sources, detects new or changed items, captures status and dates, maps them to the agreed business scope, and sends a cited watchlist for counsel review.

Federal RegisterOfficial source updatesscheduled jurisdiction scan
Your AI agent

Deduplicates notices, identifies status and effective dates, summarizes the actual change, and routes potential impact by owner.

Change digest Change digest
Source log Source log
Impact review Impact review
How to set it up

Required

Federal RegisterSECOfficial sources

Reads named regulator publications, registers, rules, guidance, dates, and source links.

Google DocsNotionDocs

Reads jurisdiction, topic, entity, product, and impact map.

Writes the watchlist and preliminary impact questions.

Optional

SlackMicrosoft TeamsChat

Writes defined urgent alerts and the regular digest.

Use saved official-source alerts and let the agent deduplicate and summarize them. Avoid relying only on secondary newsletters for status or effective dates.

Paste this into your agent or automation tool. Have the official-source list, scope and status rules, one useful watchlist entry, and three past publications covering a relevant change, a correction or duplicate, and a deadline-sensitive item ready.

Setup prompt

What good looks like

The relevant publication should reach the right owner, the correction should consolidate with the original, and the deadline-sensitive item should alert on time with the correct status and dates. Correct any source, deduplication, scope, or routing error and rerun the same publications.

Choose your trigger

Scan the approved official sources daily or weekly according to their risk tier. Send immediate alerts only for the defined deadline or final-action conditions, and keep unchanged or out-of-scope items out of the watchlist.

What runs without you

The workflow can maintain the watchlist and send the scheduled digest automatically. Counsel determines legal and business impact and owns every response. Review the source list and ownership map quarterly, and alert when an expected source fails to update or becomes unavailable.

Pairs well with research legal questions - a flagged change becomes a scoped research question with a deadline.

How to choose

  • Start with summarize contract terms - the fastest payoff, and every extraction is checkable against the document.
  • Contract-heavy? Review contract deviations needs a playbook; write one first if you must - it pays for itself.
  • Fielding the business? Triage legal requests cleans the intake, and draft legal documents handles the volume that follows.
  • Advising? Research legal questions for the questions you get, monitor regulatory changes for the ones you should be asking, and review due diligence when a deal lands.

What didn’t make the list (yet)

Two legal categories are marketed heavily and deliberately missing here: AI legal advice - tools marketed as replacing counsel - is absent by design. Every workflow above prepares evidence, drafts, and comparisons for a lawyer’s judgment; none of them produces a legal conclusion a client could rely on. E-discovery and litigation prediction are real AI categories, but they run on specialized platforms under court rules and matter-specific controls. Running them from a general agent setup risks exactly the privilege and sanctions problems those platforms exist to manage.

Frequently Asked Questions

Yes. It can extract terms and identify deviations from an approved playbook. A lawyer should review the source text, material deviations, and any proposed redline before it is used.