RPA in Legal

Automated extraction of key contract fields, parties, dates, renewal options, payment terms, termination provisions, and clause flags, from executed contracts into your contract management system. Per-field confidence scoring writes high-confidence values automatically and routes low-confidence fields to paralegal review. Intake that took 30 to 60 minutes per contract runs in minutes.

Automated submission of court filings to electronic filing systems, retrieval of filing confirmations, and calculation of response and hearing deadlines from jurisdiction-specific rules, with docketing system updates. Bots flag docketing entries for attorney review before deadlines are finalised, cutting the manual steps between court system and docketing platform.

Automated validation of time entries against client billing guidelines: rate conformance, billing-code compliance, vague or block-billed narratives, and time-increment rules. Pre-bills generate from approved entries with client-specific formatting and export to e-billing platforms. Bots flag non-compliant entries for timekeeper review before the billing cycle, cutting write-offs and write-downs at invoice stage.

Automated monitoring of regulatory agency websites, court calendars, and compliance databases for deadline updates and new requirements, with alerts for approaching deadlines across all active matters. The manual process of tracking compliance deadlines across multiple matters and jurisdictions replaced by automated monitoring.

Automated preparation of standard corporate filings, annual returns, officer change notifications, registered address updates, with tracking of entity compliance deadlines across your client portfolio and entity management system updates from filed documents. For teams managing large corporate portfolios, automated compliance status dashboards and deadline reports.

Automated document indexing and organisation in data room platforms, review-status tracking across multiple reviewers, and issue-log compilation from reviewer annotations. Bots track which documents have been reviewed, by whom, and flag documents requiring escalation, so due diligence workflows run more systematically.

Legal automation is only reliable if the business rules are correct. We involve attorneys and paralegals in defining the rules that govern each automation, jurisdiction-specific deadline calculations, billing guideline interpretations, and contract clause definitions. The automation implements what your legal team specifies, not generic defaults.

Legal automation includes mandatory human review checkpoints for high-risk outputs: deadline dates before final docketing, extracted contract data before system population, and billing pre-bills before client submission. Bots prepare, legal professionals review, so throughput increases without removing attorney oversight on the outcomes that matter.

Legal data is privileged and confidential. Every automation operates within your security perimeter, uses role-based access controls, maintains complete audit logs, and is designed for the security standards your practice or legal department requires. No client data is processed outside your infrastructure.

Legal automation errors have consequences. We build accuracy validation into every automation: confidence thresholds for AI-assisted extractions, rule validation for deadline calculations, and format checks for filing submissions. Outputs below confidence thresholds route to paralegal review rather than proceeding automatically.