AI Client Intake for Corporate Law_

Corporate law teams use AI intake systems to process new instructions by collecting transaction details through a structured form, running multi-entity conflict checks across all parties and connected persons, generating engagement letters with scope definitions and fee estimates drawn from historical data, and creating the matter record in the case management system with the correct team, billing, and supervision structure. The time from receiving an instruction to having an active, properly set up matter drops from 1-3 days to under 2 hours.

The corporate intake bottleneck

Corporate instructions arrive with urgency. A client calls about an acquisition with a signing deadline in three weeks. A portfolio company needs an investment round documented by month-end. A shareholder dispute has escalated and needs immediate attention. In each case, the client expects the firm to mobilise quickly.

The reality is that between receiving the instruction and doing the first substantive piece of work, several administrative steps must happen: conflict checks across all parties to the transaction, KYC and AML verification for new clients or new entities, engagement letter preparation with scope and fee estimates, matter opening in the case management system, and team assignment.

For a straightforward matter with an existing client, this process takes a day. For a new client on a multi-party transaction, it can take several days. Conflict checks are the primary bottleneck. A corporate acquisition involves the buyer, seller, target company, their respective directors and shareholders, parent companies, subsidiary companies, advisers, and funders. Checking each name against the firm’s conflict database and assessing any connections takes time, particularly when similar names require investigation.

During this administrative delay, the client is waiting. Competitors who can mobilise faster win instructions. Partners who bypass the process to start work immediately create compliance risk.

How the AI intake system works

Instruction capture

The instructing client or partner completes a structured form capturing: transaction type (share purchase, asset purchase, investment round, joint venture, restructuring, shareholder agreement), parties (buyer, seller, target, investors, guarantors), transaction size, key dates, special requirements (regulatory approvals, tax structuring, cross-border elements), and the team the client expects to work with.

For existing clients, the system pre-populates client details and flags any KYC that needs refreshing. For new clients, it initiates the full onboarding workflow.

Multi-entity conflict checking

The system takes every party name from the instruction form and runs a comprehensive conflict search:

Direct name searches: each party name (individual and corporate) is searched against the firm’s CMS. The search includes fuzzy matching to catch spelling variations, name changes, and common abbreviations.

Connected entity searches: for corporate parties, the system pulls director names and PSC (persons with significant control) information from Companies House. Each connected individual is searched. For group structures, parent and subsidiary companies are identified and searched.

Cross-matter assessment: where a connection is found, the system assesses the relationship: are you acting for this entity on another matter? Is the connection adversarial (you act for them on a dispute against one of the new instruction’s parties) or commercial (you act for them on an unrelated transaction)?

Results are categorised:

• Clear: no connections found
• Connection identified, no conflict: you act for a connected entity on unrelated matters
• Potential conflict: a connection exists that requires partner assessment (e.g., acting for both sides of a potential transaction, or acting against a subsidiary of an existing client)
• Actual conflict: you cannot act (e.g., acting for the buyer and seller in the same transaction)

The conflict report is delivered to the supervising partner with each connection detailed. Clear results allow the matter to proceed immediately. Potential conflicts require a decision before proceeding.

KYC and AML verification

For new clients or new entities, the system runs:

• Companies House verification (company status, registered office, filing history)
• Director identification and AML screening
• PSC identification and AML screening
• Ultimate beneficial owner identification for complex structures
• Sanctions screening for all individuals and entities
• Source of funds documentation collection through the client portal

For existing clients, the system checks whether the current KYC is still valid (within your firm’s review period) and whether any new entities in the transaction need separate verification.

Enhanced due diligence applies automatically for: overseas entities, PEPs, high-risk jurisdictions, and complex ownership structures where beneficial ownership is difficult to determine.

Engagement letter generation

The system generates an engagement letter based on the instruction type. The letter includes:

• Scope of work (drawn from the instruction form, with standard inclusions for the transaction type)
• Fee estimate (calculated from historical data for similar transaction types and sizes, presented as a range with assumptions)
• Billing arrangements (hourly rates, fixed fee elements, cap arrangements if applicable)
• Team details (lead partner, associate, support staff)
• Terms of engagement (standard terms with any client-specific variations from the client record)

The letter is sent to the supervising partner for review. Once approved, it is sent to the client for e-signature through DocuSign or equivalent. The signed engagement letter is saved to the matter file automatically.

Matter creation

Once conflicts are clear and the engagement letter is signed, the system creates the matter in LEAP, Clio, Proclaim, Smokeball, or PracticePanther with:

• Correct matter type and sub-type
• All party details populated
• Team assignments (lead partner, associate, trainee, secretary)
• Billing setup (rates, budget, billing contact)
• Key dates from the instruction form
• Document folders pre-created for the transaction type
• Workflow triggers activated for the matter type

The matter is ready for substantive work the moment it opens.

Results from deployment

Corporate teams using AI intake typically see:

• Instruction-to-active-matter time drops from 1-3 days to under 2 hours
• Conflict check coverage improves because connected entities are checked automatically rather than relying on the instructing partner’s memory
• Engagement letter turnaround drops from days to hours
• Fee estimate accuracy improves because estimates are grounded in historical data
• New client onboarding KYC completion reaches 100% before substantive work begins

UK-hosted infrastructure. SRA-compliant data handling. Full audit trail of conflict checks and KYC verification.

Typical timeline: 5-7 weeks. Typical investment: £14-24k / $18-30k.