AI for legal work that stands up to scrutiny
Custom AI for contract review, discovery, matter intake, and time capture, with every output cited to its source document and privileged material kept inside your perimeter.
How it works
An associate reading 400 supplier agreements for change-of-control language is not practicing law, it is pattern matching at partner-adjacent rates. AI is excellent at pattern matching and genuinely bad at being trusted blindly, which is why everything we build for legal teams shows its work: each extracted term, summary, and proposed answer links back to the exact clause and page it came from. Privileged material stays inside your environment, and no model trains on your client data.
Contract review and abstraction at portfolio scale
Pull the terms that matter out of thousands of agreements and see the outliers in a single view.
- Extracts renewal dates, caps, indemnities, assignment, and governing law
- Flags deviations from your playbook clause by clause
- Redlines against your standard positions with rationale attached
- Exports a structured obligations register your team can query
Discovery and document review that narrows the pile
Move from a million-document collection to the few hundred that actually decide the matter.
- Semantic search across email, chat, contracts, and scanned exhibits
- Privilege and confidentiality candidates flagged for attorney review
- Automatic chronology and key-actor timelines with document cites
- Consistent tagging that holds up across reviewer teams
Cited answers and a privilege perimeter that holds
The model is constrained to your documents, and every claim carries a link to the source so a human can verify it in seconds.
- Retrieval-grounded output, with refusal when the record does not support an answer
- Source citation on every extracted term and drafted paragraph
- Deployed in your tenancy with matter-level and ethical-wall access controls
- SOC 2 controls, full audit trail, and no client data used for training
Where teams use it
Built for real revenue work.
Firms losing hours at matter intake
New enquiries arrive as email, PDFs, and voicemail. AI extracts the parties, runs the conflicts pre-check, opens the matter file, and hands the fee earner a briefed summary instead of an inbox.
Fee earners writing time from memory on Friday
Passive capture reconstructs the day from documents, calls, and email, then proposes narratives in your billing format for one-click approval. Recovered time shows up as revenue, not guesswork.
In-house teams tracking obligations across the estate
Every executed contract feeds a live register of deadlines, notice periods, and regulatory commitments, so the team gets alerted before a renewal auto-extends rather than after.
“We were skeptical because the first tools we tried invented clauses that were not in the document. This one cites the page for every term it pulls, so verification takes seconds and our partners actually trust the output.”
FAQ
Questions, answered.
How is AI used in the legal industry?
The practical wins sit in high-volume document work: contract review and abstraction, discovery triage, due diligence, matter intake, obligation tracking, and time capture. AI drafts and extracts; lawyers decide. The work that disappears is the linear reading and retyping, not the advice.
Can legal AI be trusted when models hallucinate?
Not on its own, which is why we do not let the model answer from memory. Every response is retrieval-grounded in your document set, carries a citation to the source page, and returns a clear no-answer when the record does not support one. Sanctions in US courts have all involved unverified, uncited output. Verification stays a professional obligation, and we build the interface so it takes seconds rather than hours.
Is client-confidential and privileged data safe with AI?
It is if the system never leaves your control. We deploy inside your tenancy or private cloud, enforce matter-level permissions and ethical walls in the retrieval layer, log every access for audit, and contractually prohibit your data from being used to train any model. Privilege review candidates are flagged for attorney confirmation rather than auto-classified.
Will AI replace paralegals and junior associates?
It replaces the least valuable hours of their week. Firms using this well redeploy juniors from first-pass review onto analysis, client contact, and matters they would previously have been too busy to touch. The economics change most for fixed-fee and alternative-fee work, where hours saved go straight to margin.
Keep exploring
More from the Leadify platform.
Review the pile in days, not weeks
Send us one document set and we'll show you the extraction quality on your own material before you commit to anything.