Of legal billable work that could be automated with AI per 2026 industry research.
Document-review time and cost reduction with intelligent filtering and LLM review.
Deposition-prep time compression with AI transcript summarization and organization.
Achieve immediate, organization-wide results
Six measurable outcomes across underwriting, claims, and actuarial functions — deployed in months, not years.
Contract Analysis & Drafting
Clause extraction, redline generation, and risk scoring on inbound and outbound contracts.
Legal & Patent Research LLMs
Case law, statute, and patent prior-art retrieval with citation verification. Custom over your firm's privileged corpus + Westlaw / Lexis / USPTO / EPO / WIPO sources.
E-Discovery & Document Review
TAR / predictive coding plus modern LLM-based privilege and responsiveness review. 60–80% time reduction.
Deposition & Litigation Prep
Transcript summarization, witness Q&A drafting, and exhibit-prep automation. 6–8 hr → 2–3 hr per deposition.
Brief Drafting & Citation Check
First-pass brief drafting against fact patterns, jurisdiction-specific case law, and your firm's preferred templates.
Compliance & Regulatory Analysis
Multi-jurisdiction regulatory tracking, obligation mapping, and policy-impact analysis for in-house counsel.
Capabilities across the legal services value chain
Research & Drafting
- Case-law and statute retrieval with citation verification
- First-pass memo and brief drafting
- Jurisdiction-aware language and template selection
- Plain-language summarization for client comms
Litigation Support
- E-discovery with TAR / predictive coding
- Privilege and responsiveness review
- Deposition transcript summarization
- Trial-exhibit prep and timeline construction
Contract & Transactional
- Clause extraction and risk scoring
- Redline generation against playbook
- Patent prior-art search and IP landscaping
- Obligation extraction and tracking
Practice Management & Compliance
- Multi-jurisdiction regulatory tracking
- Matter-time-cost prediction for flat-fee pricing
- Conflict checking and client intake automation
- Internal policy and CLE management LLMs
How a 200-attorney litigation boutique cut document-review hours 72% and won three more matters
A 200-attorney litigation boutique was losing competitive bids on mid-size matters because their per-hour pricing couldn’t compete with AmLaw 100 flat-fee proposals. We deployed a privilege and responsiveness review LLM trained on their prior dispositioned-doc corpus, integrated with Relativity and Everlaw. Document-review hours dropped from 4,800 to 1,344 on a typical 200K-document matter — a 72% reduction — letting partners bid flat fees competitive with the AmLaw 100 while preserving margin. The firm won 3 incremental matters worth $4.2M in the first 8 months, and the same review pipeline now feeds early-case-assessment dashboards used in pitch decks.
Speak with a legal services AI expert
A 45-minute scoping call. We’ll come prepared with your appetite, your loss-cost benchmarks, and a directional read on which models move the needle on your line of business.
Ask us about
- Contract analysis, clause extraction, and redline generation
- Case-law and patent prior-art research-AI with citation verification
- E-discovery with TAR + LLM privilege review
- Deposition transcript summarization and witness prep
- Multi-jurisdiction regulatory and obligation tracking
- Matter-time-cost prediction for flat-fee pricing
Frequently asked questions
Explore AI/ML solutions for legal services
Ready to talk legal services AI?
Start with a 45-minute strategy session. We come prepared with a directional read on your line of business and a scoped proposal.